AI Apps Directory

Open-source, AI-first workflow automation — a self-hostable Zapier alternative.

A no-code automation platform with a visual drag-and-drop builder, 400+ app integrations, and native AI steps. It runs as a managed cloud or fully self-hosted on your own infrastructure, and its pieces double as MCP tools that AI agents can call.

Commercially-safe generative AI for images, video, and design.

Adobe's generative AI for creators — text-to-image, generative fill, and increasingly video, available as a standalone web app, mobile apps, and inside Creative Cloud tools like Photoshop. Built around Adobe's own Firefly models trained on licensed and public-domain content, with select third-party models now integrated. A free tier ships monthly credits; paid plans add more credits and IP indemnification.

Web-based AI audio recording, editing, and speech enhancement.

Adobe's browser-based suite for recording and cleaning up spoken audio. Its flagship Enhance Speech filter uses AI to remove background noise and echo and rebuild a voice to sound as if recorded in a soundproofed studio, working on audio and video files. A Studio environment (beta) lets you record, edit, and enhance entirely in the browser, with a free tier and an Adobe Podcast Premium plan for higher limits.

Terminal-native pair programmer. BYO key, BYO model.

Open-source CLI for AI pair-programming directly against your git repo. Brings any model (Claude, Gemini, GPT, local) into a tight commit-per-task loop.

Agentic coding tool from Sourcegraph for terminal and editor.

Amp is an agentic coding tool from Sourcegraph that works in the terminal and across editors, autonomously editing code and running tasks. It routes between frontier models across deep, smart, and fast modes, and centers on shareable 'threads' so teammates can view and search each other's agent sessions.

Agentic development platform built on a VS Code fork.

Google's agent-first IDE where autonomous agents plan, execute, and verify coding tasks across the editor, terminal, and browser. A Manager view orchestrates multiple agents in parallel, and agents produce Artifacts — task lists, plans, screenshots, browser recordings — so you can check their work at a glance. Launched in public preview alongside Gemini 3.

All-in-one private AI app for chatting with your documents, with agents.

An all-in-one application for private, ChatGPT-style chat over your own documents, with built-in RAG, AI agents, and multi-user workspaces. Runs as a local desktop app (Mac/Windows/Linux) or self-hosted via Docker, and supports 40+ LLM providers plus local models with your own keys. Open source under MIT; Mintplex Labs also offers a paid hosted instance, making it freemium.

Full-stack web scraping and browser automation platform for AI data.

A cloud platform for web scraping, data extraction, and browser automation built around 'Actors' — serverless programs that crawl sites and return structured data. Its store offers tens of thousands of ready-made Actors, and outputs clean Markdown or JSON that feed LLMs, vector databases, and RAG pipelines via LangChain and LlamaIndex. The company also maintains the open-source Crawlee crawling library for local development.

LLM tracing + evaluation. Strong on retrieval debugging.

Phoenix is Arize's observability platform — run locally in a notebook or as a hosted service. Especially strong for inspecting RAG pipelines, finding bad chunks, and tracking retrieval quality over time.

Production speech-to-text + audio intelligence API.

Speech recognition API with batch and real-time streaming transcription, speaker diarization, and language detection. Its Universal models pair with optional Speech Understanding features (summarization, sentiment, redaction) so a single API can build conversation-intelligence products. Starts with a free credit and pay-as-you-go, per-second billing.

Agentic coding assistant tuned for large, multi-repo codebases.

Augment Code is an AI coding platform whose Context Engine indexes large, multi-repo codebases so its completions, chat, and agents reason across cross-file dependencies. It runs as a VS Code and JetBrains extension, a CLI, and asynchronous remote agents, and targets engineering teams working in enterprise-scale repositories.

AI browser automation for scraping, enriching, and reaching leads.

A no-code automation platform built as a Chrome extension. Bardeen scrapes data from any website you can open, qualifies and enriches it with AI, and pushes results into tools like Google Sheets, Airtable, and Notion. Its AI builder turns plain-English descriptions into reusable playbooks, and the product is now focused on sales and GTM workflows — lead sourcing, qualification, and contact enrichment.

Inference cloud for serving any AI model in production.

Production inference platform offering both pre-optimized Model APIs (Llama, DeepSeek, and more, billed per token) and dedicated GPU/CPU deployments for custom models, billed per minute with no charge for idle time. Custom models are packaged with its open-source Truss format and autoscale, including scale-to-zero. Aimed at low-latency, high-throughput serving.

On-demand serverless GPU compute for AI, from Python.

A serverless cloud for deploying AI inference endpoints, agent sandboxes, task queues, and containerized GPU workloads with a few lines of Python. It handles fast cold starts, autoscaling, and Docker-in-Docker execution across multiple cloud backends, and supports bring-your-own-compute. The Developer tier is free with recurring monthly credit; paid tiers add team features and scale, billed pay-as-you-go by GPU usage.

Multi-model AI workspace with chat, voice, image gen, and tool use — BYO keys.

A self-hostable AI workspace for chatting across hundreds of models from many providers, with voice calls, image generation, web search, and code execution. It runs self-hosted via Docker or Vercel and connects to local engines (Ollama, LM Studio, LocalAI) as well as cloud providers. MIT-licensed and free — you supply your own provider API keys.

Prompt-to-app generator running in the browser. WebContainers under the hood.

StackBlitz's in-browser full-stack app builder. Generates a working project — frontend, backend, deps — and lets you iterate in a sandboxed Node runtime without leaving the tab.

Hosted eval + tracing platform for LLM apps.

Production-grade eval orchestration with a dashboard, dataset versioning, and OpenTelemetry tracing. Useful once eval volume outgrows a CI YAML file.

Independent search index. Privacy-respecting, non-Google.

API access to Brave's independently-crawled search index. Useful when you need a non-Google source, want to dodge upstream rate limits, or have privacy posture requirements that rule out scraping competitors.

Open-source browser automation for AI agents.

MIT-licensed Python framework that connects AI agents to a real browser to navigate, fill forms, extract data, and run multi-step web workflows. It parses the live DOM into a structured view so any model — Claude, GPT, Gemini, Qwen, DeepSeek — can act on it. A hosted Browser Use Cloud adds managed sessions and a fully-hosted agent.

Headless browser infrastructure for AI agents.

Managed cloud fleet of headless browsers that let AI agents browse, authenticate, and act on the web at scale. Sessions ship with stealth proxies, automated CAPTCHA solving, and observability, driven via API or the open-source Stagehand framework. Usage-based billing on top of a monthly base plan.

AI video editor and avatar creator for short-form, talking-head content.

An AI video app for creators that auto-edits talking-head footage — generating captions, inserting B-roll, correcting eye contact, and dubbing into other languages. Its AI Creator mode renders a talking video from a script using AI personas. Built by Mirage on its own generative-video foundation model.

Low-latency streaming TTS. Sub-100ms first audio.

Streaming-first speech synthesis built around the Sonic family of state-space models. Aims at real-time agent voices where latency between turns is the product. Strong choice for sub-200ms voice loops.

Wafer-scale inference cloud for open models.

Inference cloud that serves open-weight models such as Llama, Qwen, DeepSeek, and gpt-oss on Cerebras's wafer-scale CS-3 hardware, reaching token throughput far above GPU clouds. Exposes an OpenAI-compatible API with a free daily tier and pay-per-token pricing.

Chat with millions of user-made AI characters.

A consumer platform for creating and chatting with AI personas — fictional characters, helpers, and roleplay companions — across web and mobile. Hosts millions of community-built characters with voice calls and image generation on the paid tier. One of the largest conversational-AI roleplay products by usage.

The default AI assistant. Chat, voice, vision, and a tool ecosystem.

OpenAI's consumer assistant — multimodal chat with voice, image input, web browsing, code, and custom GPTs. The product that put generative AI in everyone's hands.

Desktop AI client unifying frontier LLMs, local models, and 300+ assistants.

A cross-platform desktop AI productivity app for chatting across cloud and local models, with autonomous agents and 300+ prebuilt assistants. It runs on your own machine and supports local models via Ollama and LM Studio alongside cloud providers using your own keys. The community edition is AGPL-3.0; organizations over ten people require a paid commercial license.

Embedded vector DB. Pip-install, prototype, scale later.

The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.

Community hub for open image models — discover, share, and generate.

The largest community platform for open generative-image models, hosting thousands of Stable Diffusion and Flux checkpoints, LoRAs, and embeddings. Creators upload models with sample galleries, and on-site generation lets you run them in the browser. Every shared image is paired with the model, prompt, and settings used to create it.

Anthropic's official CLI / IDE / web agent.

Anthropic's agentic coding tool. It reads the spec, drafts the diff, runs the tests, and opens the PR — across the CLI, IDE extensions, the desktop app, and the web.

Anthropic's assistant. Thoughtful, long-context, strong at code + writing.

The Claude consumer app — chat with Projects, artifacts, file analysis, and MCP connectors. Known for careful reasoning, large context, and being a strong writing + coding partner.

Open-source autonomous coding agent in VS Code. BYO key.

Community-maintained VS Code extension that turns the editor into an agent surface — reads the repo, runs commands, edits files, and verifies its work. Pairs naturally with Claude. Formerly known as Claude Dev.

Workers + R2 + D1 + Durable Objects. Global edge runtime.

When the app needs to run close to users globally, or when an isolate-per-request model fits the workload better than Node functions. R2 for storage, D1 for SQLite-at-the-edge.

AI code review on every pull request, IDE, and CLI.

CodeRabbit posts contextual, line-by-line AI reviews on pull requests across GitHub and GitLab, with an agentic chat for follow-ups plus integrated linters and SAST tools. The same reviewer runs in the IDE (VS Code, Cursor, Windsurf) and from a CLI, so issues surface before the PR.

Open-source memory for AI agents.

An open-source semantic memory layer for AI agents. Cognee ingests documents, relational data, and system context, then runs an Extract-Cognify-Load pipeline that uses an LLM to build a knowledge graph with embeddings and relationships. Agents query it for durable, cross-session context that captures how concepts connect. Self-host the Python SDK for free, or use the managed cloud tiers.

Node-based visual AI — wire up image, video, and audio diffusion pipelines.

An open-source, node-graph interface for diffusion models — build precise, reproducible image/video/audio pipelines on an infinite canvas where every model and parameter is visible. Runs locally on your own GPU or as a desktop app, with thousands of community nodes.

1000+ authenticated toolkits for AI agents, via MCP or API.

Tool layer that gives AI agents secure, managed access to 1000+ toolkits and 20,000+ tools across SaaS apps, exposed via MCP or direct APIs. It handles authentication, tool search, and context management, and its MCP Gateway hands each team a managed endpoint to paste into Claude, Cursor, or ChatGPT. The core is MIT-licensed; a free tier covers 20K tool calls per month.

AI search over 200M+ peer-reviewed papers, with citations.

An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.

Up-to-date, version-specific library docs piped into any AI coding agent via MCP.

An MCP server from Upstash that pulls current, version-specific documentation and code examples for a library and feeds them straight into an LLM's context. It exposes two tools — resolve-library-id and a docs query — so agents in Cursor, Claude Code, Windsurf, and other MCP clients generate code against the real, current API.

Open-source AI coding assistant for VS Code, JetBrains, and the CLI.

An open-source AI coding assistant delivered as a VS Code extension, a JetBrains plugin, and a CLI, with chat, autocomplete, and agent workflows. It runs locally in your editor and works with any model provider, including local models via Ollama, using your own keys. The core is Apache-2.0 and free; the company also offers a hosted Continue Hub for sharing and managing assistants.

Open-source crawler that turns the web into clean, LLM-ready Markdown.

Crawl4AI is an open-source (Apache 2.0) web crawler and scraper built for AI pipelines, converting pages into clean Markdown or structured data for RAG, agents, and data pipelines. The core runs locally with no API key, handles JS rendering, and supports optional LLM-based extraction with any provider. It installs as a Python library/CLI or deploys as a Dockerized FastAPI server; a hosted Cloud API is in closed beta.

Multi-agent framework with explicit roles and tasks.

Python framework for orchestrating crews of specialised agents — researcher, writer, reviewer — coordinated through shared context. Opinionated about roles, sequencing, and delegation; good fit for content-and-research pipelines.

AI-first code editor. Multi-model, tab-completion native.

Fork of VS Code with deep model integration — multi-line tab completion, agent mode, chat with codebase context. Strong for fast iteration on existing repos.

Secure, elastic sandboxes for running AI-generated code.

Infrastructure for executing AI-generated code in isolated sandboxes — each a full composable computer with a dedicated kernel, filesystem, network stack, and allocated CPU, RAM, and disk. Sandboxes start in under 90ms, snapshot for persistence, and are driven programmatically through SDKs (Python, TypeScript, Ruby, Go, Java), an API, and a CLI. AGPL-3.0 and available as a managed service, self-hosted stack, or hybrid where you bring your own compute.

AI concierge agents that resolve customer support end-to-end.

An enterprise platform for AI customer-support agents that handle issues across chat, email, and voice — not just answering questions but taking action to resolve them. Its Agent Operating Procedures (AOPs) let support teams encode handling logic in natural language while engineers keep code-level guardrails. Used by companies including Duolingo, Chime, and ClassPass to deflect a large share of support volume.

Pytest-style LLM evaluation framework. Open source.

Open-source (Apache 2.0) framework for evaluating LLM apps the way Pytest tests code — assertions backed by 50+ ready metrics spanning LLM-as-judge, RAG, agents, conversation, and safety. Plugs into LangChain, CrewAI, OpenAI Agents and more. Confident AI is the paid cloud platform that adds test management, dashboards, and observability on top.

Production speech-to-text. The STT default for many companies.

End-to-end speech recognition platform — real-time streaming, batch transcription, speaker diarization, and language detection. Strong on accented speech, telephony audio, and long-form recordings.

Open, low-cost chat with strong reasoning. Free to use.

DeepSeek's assistant — chat with a reasoning mode and web search, backed by the open-weight DeepSeek models that reset the cost curve for frontier-grade quality.

Podcast + audio editing where the transcript is the timeline.

Audio and video editing built around an editable transcript — cut words, get cut audio. Add AI cleanup, overdub voice clones, and screen-recording for podcasts and tutorials in one tool.

Autonomous software engineer agent. Plans, codes, ships from a prompt.

Cognition's hosted SWE agent. Operates inside its own sandbox with a browser, terminal, and editor — plans the work, writes the code, and submits a PR. Aimed at long-horizon tickets rather than tab-completions.

Visual platform for agentic workflows, RAG pipelines, and LLM apps.

An LLMOps platform that bundles a drag-and-drop workflow builder, RAG pipelines, agent tooling, model management, and observability into one surface — prototype to production without much glue code. Connects hundreds of proprietary and open models across providers. Self-host the source-available edition for free, or use Dify Cloud's paid tiers.

Open-source toolkit that turns documents into AI-ready Markdown and JSON.

A document-processing toolkit that converts PDF, DOCX, PPTX, XLSX, HTML, images, and audio into clean Markdown or JSON for LLM and RAG pipelines. It does advanced PDF understanding — page layout, reading order, table structure, and OCR for scans — and ships a hybrid chunker plus native LangChain and LlamaIndex integrations. Small enough to run on a laptop via a Python API or CLI; MIT-licensed and community-governed.

Secure cloud sandboxes for running AI-generated code.

Open-source infrastructure that spins up isolated cloud sandboxes so AI agents can execute generated code safely. Python and JS/TS SDKs cover code interpretation, data analysis, and computer-use desktops, with per-second billing. Self-host or BYOC/on-prem is supported for enterprise.

Frontier TTS, voice cloning, and dubbing. Industry default.

Hosted speech synthesis at near-human quality — TTS, voice cloning, multilingual dubbing, and conversational voice agents. Default choice when you need a voice that sounds like a person, not a robot.

AI research assistant for literature review and evidence synthesis.

Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.

Data platform to curate, label, and manage AI training data.

An enterprise data development platform for preparing high-quality training data across images, video, documents, audio, DICOM, and 3D point clouds. It pairs AI-assisted labeling (SAM auto-segmentation, object tracking) with data curation, model evaluation, and workflow tooling, plus LLM-powered data agents for document tasks. Used heavily in medical imaging, robotics, and other physical-AI domains.

Neural search API. Find pages by meaning, not keywords.

Semantic search engine that indexes the open web with embeddings — pass a description, get matching pages. Strong for research-style queries and find-similar workflows; formerly known as Metaphor.

Agent-native software development with autonomous 'Droids'.

An agent-native platform for software development built around 'Droids' — autonomous coding agents that plan, edit, and run tasks across a codebase. Works from a CLI/SDK and runs agents both in the cloud and locally in the background. Model-agnostic across frontier and open-weight models.

Serverless inference API for image, video, audio, and 3D models.

A generative-media inference platform exposing FLUX, Kling, Veo, Wan, Stable Diffusion, and 600+ image/video/audio/3D models through one fast, serverless API — no GPUs to manage and near-zero cold starts. Pay per output or per GPU-second; free starter credits to test. Popular as the production backend for AI media features.

Free AI notetaker for Zoom, Meet, and Teams calls.

Records, transcribes, and summarizes video meetings with AI summaries, action items, and shareable clips. Free for unlimited individual recording; paid Team tiers add advanced AI, analytics, and CRM sync.

Turn any website into clean, LLM-ready data — scrape, crawl, search.

A web data API for AI — scrape, crawl, map, and search pages into clean markdown or structured JSON, handling proxies, anti-bot, and JS rendering for you. Open-source core (AGPL) plus a hosted service; a default web-ingestion layer for agents and RAG pipelines.

AI notetaker that records, transcribes, and summarizes meetings.

A meeting assistant whose bot joins Zoom, Google Meet, Microsoft Teams, and Webex calls to record, transcribe, and summarize them, then extracts action items and highlights. The AskFred assistant lets you query across past conversations, and transcripts sync to CRMs and other tools. Mobile and Chrome apps capture in-person and browser audio.

Fast inference + fine-tuning. Production deployments at scale.

Optimized inference platform for open-weights models with strong latency numbers and serverless + dedicated deployment options. Fine-tuning supported; vision and audio models alongside text.

Visually build AI agents and LLM workflows — drag-and-drop, self-hosted.

A low-code visual builder for AI agents, chatflows, and multi-agent systems on a drag-and-drop canvas. It self-hosts locally through npm or Docker, or deploys to major clouds, and is provider-agnostic across many LLMs via its node ecosystem. The core is Apache-2.0; a managed Flowise Cloud tier exists, making it freemium.

Black Forest Labs' open image models — sharp prompt adherence.

The FLUX family from Black Forest Labs — open and pro image models known for crisp detail and strong prompt following. Usable via the BFL playground, API, and across the ecosystem.

Evaluation and observability for GenAI apps and agents, with inline guardrails.

A platform for testing, monitoring, and guardrailing LLM and agent applications. It ships 20+ out-of-the-box evals for RAG, agents, and safety, lets teams author custom evaluators, and turns those offline evals into real-time production guardrails powered by its own Luna eval models.

Generate presentations, websites, and documents from a single prompt.

An AI design tool that turns a prompt or pasted content into polished presentations, websites, documents, and social posts — automatically handling layout, copy structure, and visuals. It can import and restructure existing PDFs, slide decks, and Word files, and supports interactive embeds like live charts, videos, and forms. A Generate API added in early 2026 lets teams produce content programmatically at scale.

Google's open-source Gemini AI agent, in your terminal.

An open-source command-line agent that brings Gemini into the terminal for coding, debugging, content generation, and research. Ships built-in Google Search grounding, Model Context Protocol support, and project context via a GEMINI.md file, plus a non-interactive mode for scripting and CI. Free to use by signing in with a personal Google account, with paid options through AI Studio, Vertex AI, and Gemini Code Assist.

Google's assistant, wired into Search, Workspace, and Android.

Google's multimodal assistant — chat, image generation, deep research, and tight integration across Gmail, Docs, and Android. Backed by the Gemini model family.

All-in-one AI workspace with an autonomous Super Agent.

An AI workspace built around a Super Agent that breaks goals into sub-tasks, picks the right tools, and finishes work autonomously — building slides, sheets, docs, websites, and videos, and even placing phone calls. It orchestrates multiple large language models and dozens of integrated tools, synthesizing results into shareable Sparkpages. Built by a team from Google and Microsoft and available on web and mobile.

AI pair programmer in your editor — completions, chat, and agents.

The original in-editor AI coding assistant, offering multi-line completions, chat with codebase context, agent mode, and a cloud coding agent that opens pull requests. Runs across VS Code, JetBrains, Visual Studio, the CLI, and GitHub.com. A free tier covers light use; paid tiers add premium models and more allowance.

MCP server registry, inspector, and gateway.

A discovery and hosting hub for the Model Context Protocol ecosystem: browse a large indexed catalog of MCP servers, test them in an in-browser Inspector, and route them through a managed Gateway that handles credentials, logging, and analytics. Browsing and installing open-source servers locally is free; hosting servers on Glama's infrastructure and the Gateway's managed features are paid. Also ships an AI playground chat client over the connected tools.

Highlight, summarise, and chat with anything you read on the web.

Web-highlighter + AI extension. Save passages from any page, then ask AI for summaries, related ideas, or chat across your knowledge base. BYO key keeps your reading history private.

Work AI: enterprise search, assistant, and agents over your apps.

A workplace AI platform that unifies search, an assistant, and agents across 100+ connected enterprise apps (Slack, Teams, GitHub, ServiceNow and more). It enforces each user's existing access permissions over the indexed content. Sold enterprise-only — pricing is quote-based via sales, with no public self-serve tier.

Prototype with Gemini — prompts, multimodal, and instant API keys.

Google's free playground for building with Gemini — prompt design, multimodal input, structured output, and one-click export to API code. The fastest way to start building on Gemini.

Google's AI filmmaking studio — Veo video + Imagen, in one canvas.

Google Labs' creative studio for filmmakers — generate and stitch shots with Veo, craft keyframes with Imagen, and direct camera + scene with a Gemini-powered agent. Now folds in Whisk and ImageFX.

Open-source on-machine AI agent for coding, workflows, and automation.

An extensible AI agent from Block that runs natively on your machine as a desktop app or CLI, executing code and automating engineering tasks via MCP extensions. It supports 15+ LLM providers (Anthropic, OpenAI, Google, Ollama, and more) using your own keys. Free and open source under Apache 2.0.

Autonomous AI agent that runs deep multi-source web research and writes cited reports.

An open-source autonomous research agent that plans a task, runs parallel multi-source web searches, validates sources, and synthesizes a cited report. It runs locally as a Python package, FastAPI server, or MCP server, and works with any LLM provider plus a search/retriever backend. Free and Apache-2.0 licensed — you only pay your own LLM and search-API costs.

AI notepad for back-to-back meetings — captures your Mac's audio, no meeting bot.

A desktop notepad that captures your computer's audio during calls and enhances your rough notes into structured summaries afterward. Because it records the system's own audio rather than dispatching a bot into the meeting, there's no visible notetaker for participants. Includes shared folders, custom templates, and an AI chat over your notes.

xAI's assistant with real-time X access and a less-filtered voice.

xAI's assistant — chat, image generation, and real-time knowledge pulled from X. Positioned as witty and current, with deep integration into the X platform.

Ultra-fast inference on custom LPU chips. Open-weights at 500+ tokens/sec.

GroqCloud serves open-weights models (Llama, DeepSeek, Qwen, Kimi) on Groq's purpose-built LPU hardware, hitting hundreds of tokens per second where GPUs manage tens. OpenAI-compatible API with a free tier; the default when token latency is the product.

No-code AI workflow automation on a visual node canvas.

A drag-and-drop platform for building AI-powered automations as node graphs — web scraping, document parsing, image analysis, and multi-model chaining without code. Connects apps, data, and LLMs into triggered or scheduled flows. Backed by Y Combinator and a Benchmark-led Series B.

Text- and image-to-video generation from MiniMax.

MiniMax's consumer video generator, turning text prompts and reference images into short cinematic clips with subject-reference for consistent characters. Available on the web and as iOS and Android apps. A free tier offers limited credits; subscriptions add HD output, faster generation, and commercial use.

AI browser agent for Chrome that automates web tasks.

A browser extension that fuses large language models with on-page web automation, letting an AI agent read, understand, and act on web pages — navigating, extracting data, filling forms, and monitoring sites for changes. It connects to multiple AI providers and ships 100+ preset commands for research, SEO, and writing. Available for Chrome, Edge, Firefox, Brave, and Opera.

Turn a photo and voice into talking, expressive characters.

Hedra generates lip-synced, expressive talking-character video from a single image plus audio or a script. Its Character-3 model handles facial performance and emotion, and a Live Avatars tier streams those characters in real time for conversational AI agents.

Drop-in LLM proxy with logging, caching, and cost tracking.

One-line integration — change your OpenAI/Anthropic base URL and get a dashboard with every prompt, response, latency, and dollar tracked. Adds caching and rate-limit handling without code changes.

Self-improving personal AI agent that learns skills and keeps persistent memory.

A self-hostable AI agent from Nous Research that builds skills from experience, maintains long-term memory, and is reachable through a terminal TUI, a web dashboard, or messaging gateways (Telegram, Discord, Slack). It runs anywhere from a small VPS to local Docker, and works with any model via Nous Portal, OpenRouter, OpenAI, or self-hosted endpoints. Free and open source under MIT; you bring your own model access.

Avatar video at scale. Talking-head clips from a script.

AI avatar platform for B2B content — generate a presenter from a photo, give them a script, get a finished video with lip-sync, voiceover, and translation. Used heavily in marketing and corporate training.

Cinematic AI video with camera controls — many models, one subscription.

An AI video + image studio built around cinematic camera motion and presets. Aggregates 15+ third-party models (Sora, Veo, Kling, and more) so you switch engines without switching tools.

Continual learning memory for stateful agents. Better context, fewer tokens.

A memory and user-personalization layer for AI agents that keeps reasoning about each user across sessions, so apps get richer context without stuffing whole histories into the prompt. It models peers and sessions, runs background inference to derive durable facts, and answers natural-language questions about a user at query time. Available as a managed API or self-hosted FastAPI server, with Python and TypeScript SDKs.

The observability and evaluation layer for production AI agents.

A platform that unifies monitoring and testing for LLM apps and agents into one improvement loop: distributed tracing, online evaluations and alerts, offline experiments, annotation queues for expert feedback, and CI/CD-integrated regression testing. Built OpenTelemetry-native with support for 100+ models and agent frameworks. The free Developer tier covers small teams; Enterprise adds scale, self-host, and compliance.

Models, datasets, papers, spaces. The AI research commons.

Source-of-truth for open-weights models and datasets. Daily-paper feed for tracking research; Spaces for trying ideas without setting up infra. The default home for any model not behind a paid API.

Empathic Voice Interface — speech-to-speech AI that hears tone.

A voice AI toolkit built around the Empathic Voice Interface (EVI), a speech-to-speech model that infers emotion and prosody from a user's voice and modulates its replies accordingly. Exposed as an API for building expressive voice agents and assistants. From a research lab focused on emotional intelligence in AI.

Image gen with the best text-in-image quality.

Hosted image generator with industry-leading typography rendering — actually readable text inside images. Strong for logos, posters, social cards, and any composition where letterforms matter.

Durable workflow engine for AI background jobs.

Event-driven, durable execution engine — pause/resume, retries, fan-out, scheduling — designed for long-running AI jobs that can't sit in a request/response cycle. TypeScript-first; framework-agnostic.

Open-source Python framework for large language model evaluations.

A framework for building and running reproducible LLM and agent evaluations, structured around datasets, solvers, and scorers. Ships sandboxed tool execution, multi-turn agent workflows, and a log viewer, plus a companion library of 200+ prebuilt evals. Run any eval against any model via the inspect CLI or the Python API.

Open-source ChatGPT alternative that runs 100% offline on your computer.

An open-source desktop assistant that runs AI models 100% offline on your own machine, bundling a local model runner so you can download and chat with open models like Llama, Gemma, and Qwen. It also supports bring-your-own keys for cloud providers when you want them, and exposes a local OpenAI-compatible server. Fully open source under Apache 2.0 with no paid tier.

Search-foundation APIs — Reader, embeddings, and reranker — for grounding LLMs.

A suite of search-foundation APIs for retrieval and RAG: a Reader that turns any URL or web search into LLM-ready markdown, multilingual multimodal embeddings, and a reranker. One key spans every service, the Reader is open source, and the embedding models are also released as open weights for self-hosting.

Async coding agent that clones your repo and ships PRs.

Jules is Google's asynchronous coding agent. It clones your GitHub repository into a secure Google Cloud VM, understands the full project context, then writes tests, fixes bugs, and makes multi-file changes in the background before opening a pull request. A Jules Tools CLI and a Jules API extend it into your own workflows.

Chat with your data — an AI data analyst for CSVs, sheets, and DBs.

An AI data analyst that lets you upload CSVs, Excel, and Google Sheets, then ask questions in plain language to clean, analyze, visualize, and model your data. It writes and runs Python behind the scenes and can generate charts, slides, and reports from the results. Pro plans add direct connectors to live databases like Snowflake, BigQuery, and Postgres.

Open-source AI second brain that chats with your docs and the web, local or hosted.

An open-source "AI second brain" for chatting with local or online models, searching across your personal documents and the internet, building custom agents, and automating research. Self-host it on your own machine, or use plugins for Obsidian, Emacs, desktop, and mobile. Licensed AGPL-3.0; a paid managed cloud tier also exists, so it's freemium.

Moonshot's assistant — long-context chat, deep research, and agents.

Moonshot AI's assistant — long-context chat, Deep Research, and an agent mode (Kimi Code, parallel subagents). Built on the open-weight Kimi K2 model family.

Spec-driven agentic IDE — turn prompts into specs, then code.

Kiro is AWS's agentic IDE that brings engineering rigor to AI coding. Instead of vibe-coding straight to a diff, it first generates durable spec artifacts — requirements, a technical design, and a task list — then implements them. Agent hooks automate routine actions on file events, and it runs on Claude models.

State-of-the-art AI video + image, with strong motion and multishot.

Kuaishou's creative studio — text- and image-to-video with convincing motion, lip-sync, and multishot sequences up to ~15s, plus image generation. A leading Runway/Sora rival.

Design-loop image surface. Generate, edit, upscale, iterate.

Multi-model creative canvas — image generation, real-time edits, upscaling, and style transfer chained together. Strong for fast iteration on a single image rather than rolling fresh prompts.

On-device AI noise cancellation, transcription, and meeting notes.

Voice AI platform that removes background noise, transcribes calls, and generates meeting notes. It installs as a virtual microphone/speaker, so noise cancellation works across Zoom, Teams, Meet, and 800+ other apps without joining as a bot. Also offers accent conversion and a call-center product on the same engine.

Open-source multi-type data labeling and AI evaluation.

Widely-used open-source tool for labeling and annotating data across images, text, audio, video, and time-series, with a standardized export format for training and fine-tuning. ML backends can pre-label data to speed up human review, and it increasingly doubles as a human-in-the-loop AI evaluation surface. Maintained by HumanSignal, which offers a hosted Starter tier and Label Studio Enterprise.

AI vocal remover and stem separation, built for pro-level quality.

An AI audio service that removes vocals and splits any track into clean stems — vocals, drums, bass, guitars, piano, and more — using transformer-based separation models. It adds voice cleaning, echo and reverb removal, and lead/backing vocal separation. Available on the web, desktop, native iOS and Android apps, a DAW plugin, and a developer API.

Embedded multimodal vector database on the Lance format.

An open-source retrieval engine for AI built on the Lance columnar format. It runs in-process alongside your app — no separate server — and stores, indexes, and searches vectors, metadata, and multimodal data (text, images, video) with vector, full-text, and SQL queries. A managed enterprise lakehouse tier scales the same engine to petabytes.

Visual prompting + vision agents from Andrew Ng's lab.

Build vision applications with a labelling-light workflow — point at examples, get a deployable detector. Recently extended into vision agents that reason over images and PDFs without bespoke training.

The default open-source framework for composing LLM apps.

Python + TypeScript framework for chaining prompts, tools, retrievers, and memory into LLM applications. Ubiquitous in the ecosystem; pairs with LangGraph for agent orchestration and LangSmith for tracing.

Open-source LLM observability. Self-hostable, OpenTelemetry-native.

Tracing, evals, prompt management, and dataset tooling for LLM apps — self-host on your own infra or use Langfuse Cloud. The open-source default when you want full ownership of your observability stack.

Graph-based agent orchestration. Stateful loops with checkpoints.

LangChain's agent layer. Model agents as nodes in a state graph with persistent checkpoints, human-in-the-loop steps, and durable execution. Strong when you need a long-running, debuggable agent rather than a one-shot chain.

LangChain's hosted observability + eval platform.

Tracing, dataset management, eval orchestration, and prompt playground from the LangChain team. Pairs naturally if LangChain or LangGraph already runs in your stack, but works standalone via SDKs.

Open-source, OpenTelemetry-based observability for LLM apps and agents.

Langtrace is an open-source observability and evaluation platform for LLM applications, capturing traces, token usage, latency, and cost across popular models, frameworks, and vector databases. Because it emits standard OpenTelemetry spans, traces flow to any OTel-compatible backend, and instrumentation is a two-line SDK install in Python or TypeScript. It ships as a hosted cloud with a free tier plus a self-hostable / on-prem option for data-sensitive teams.

Mistral's fast, European assistant with web search and code.

Mistral AI's assistant — chat with web search, document analysis, image generation, and code. Fast, privacy-minded, and built on Mistral's own open and frontier models.

Open-source personal AI assistant built on tools, memory, and agentic execution.

A self-hosted personal AI assistant organized around tools, context, memory, and agentic execution, with smart, controlled, and agent run modes. It runs on your own machine and can use local models and local context instead of routing everything through third-party services. MIT-licensed and free; currently shipping a 2.0 developer preview alongside the legacy stable branch.

Image generation with fine-tuned models, control, and game-asset focus.

Image platform with custom fine-tuned models, ControlNet-style guidance, real-time canvas, and upscaling. Popular with game studios and concept artists for consistent asset pipelines.

Stateful agents with structured memory. Successor to MemGPT.

Open-source framework for building stateful agents — memory blocks, context-window management, tool-use primitives baked in. Useful as a reference architecture for long-running agents.

Self-hosted, open-source ChatGPT alternative unifying every major AI provider.

A self-hosted AI chat platform that puts many providers behind one ChatGPT-style UI, with agents, code interpreter, web search, image generation, artifacts, file analysis, and multi-user auth. You run it yourself via Docker and supply your own model keys, or point it at a local Ollama/OpenAI-compatible endpoint. Fully open source under MIT — no cost for the software itself.

Agentic automation. Long-running agents instead of one-shot triggers.

Builds AI agents that wait for emails, calendar invites, or webhooks — then take multi-step actions on your behalf. The 'agentic Zapier' pitch; strong for ops workflows that need judgement, not just routing.

AI search and research copilot with cited answers.

An AI search and research assistant that returns cited, fact-checked answers across the web, YouTube, and PDFs, with dedicated modes for academic literature review (Liner Scholar) and professional writing (Liner Write). It grew out of a popular web-highlighting tool and now spans browser, mobile, desktop, and a browser extension. The free tier covers everyday search; Pro unlocks more models, file uploads, and unlimited copilot use.

Production-grade web search API for AI agents.

A web search API built for LLMs and agents. Linkup returns sourced, cited answers with full-text snippets in seconds, plus a Fetch endpoint for URL extraction and a Research endpoint that runs multi-step, chain-of-thought deep research. It integrates via MCP and SDK wrappers for OpenAI, LangChain, CrewAI, and more, and offers zero-data-retention enterprise hosting.

AI gateway: call 100+ LLMs in one OpenAI-format interface.

Open-source Python SDK and proxy server (AI gateway) that exposes 100+ LLM providers through a single OpenAI-compatible API, with cost tracking, load balancing, fallbacks, caching, and guardrails. Self-host the proxy or use the managed cloud; a paid Enterprise tier adds SSO, audit logs, and support.

The data framework for LLM apps — RAG, agents, and document workflows.

An open-source framework (Python + TypeScript) for connecting LLMs to your data — ingestion, indexing, retrieval, and agentic document workflows. Pairs with the managed LlamaCloud (LlamaParse) for production parsing and extraction. The most-used RAG framework after LangChain.

Desktop app to discover, download, and run local LLMs privately.

A GUI for running open-weight models on your own hardware — browse and download GGUF/MLX models, chat offline, and expose an OpenAI- and Anthropic-compatible local server for your apps. Includes RAG over local files, MCP tool-use support, and dual llama.cpp + Apple MLX runtimes. Free for personal and commercial use; the app itself is proprietary.

Prompt a full-stack app into existence — UI, backend, and deploy.

An AI app builder that turns prompts into full-stack web apps — React UI, Supabase backend, GitHub sync, and one-click publish. Popular for going from idea to shipped product fast.

AI design agent — logos to full campaigns in one conversation.

Conversational design agent that takes a brief and produces full creative outputs — logos, posters, marketing campaigns — by orchestrating multiple image and video models on a single canvas. It iterates on the design rather than re-rolling prompts, with a credit-based freemium model.

Mainstream-quality video generation. Indie creator default.

Luma Labs' video model surfaced as an iOS app and web tool. Strong text-to-video, image-to-video, and keyframe controls — the indie creator's go-to before reaching for Runway's heavier toolkit.

AI upscaling + relighting that goes beyond pixel-doubling.

Upscales images while reimagining detail — adds plausible texture, lighting, and structure rather than just sharpening. Broke through with the 'AI photography' workflow for product shots and concept art.

Visual-canvas automation. The Integromat folks went big on AI nodes.

Drag-and-drop scenario builder with first-class AI provider nodes. More expressive than Zapier for complex routing and conditional logic; favoured when your automation has branches and loops.

General-purpose autonomous agent for research, ops, and content.

Cloud agent that browses, drafts, schedules, and follows multi-step instructions over hours. Closer to a virtual operator than a coding tool — strong for non-code knowledge work. Acquired by Meta; product continues to ship.

Generate editable 3D worlds from text, images, or video.

A generative world model that turns text prompts, photos, videos, panoramas, or 3D layouts into editable, downloadable 3D environments. The first commercial product from World Labs, the spatial-intelligence lab co-founded by Fei-Fei Li. Outputs can be refined and exported for use in game engines and 3D pipelines.

TypeScript framework for building AI agents and workflows.

An open-source TypeScript stack for AI applications: agents, a graph-based workflow engine (.then/.branch/.parallel), memory, tools, and built-in observability behind one API. Run it self-hosted under Apache 2.0, or deploy to Mastra Cloud with a free Starter tier and paid Teams/Enterprise plans.

OCR and document conversion built for math, science, and STEM.

OCR and document-conversion tooling specialized for STEM content. Mathpix reads printed and handwritten math, chemistry, tables, and text from images and PDFs, exporting to LaTeX, DOCX, Markdown, Excel, ChemDraw, and more. It ships as the Snip app (web, mobile, desktop, browser extension) for individuals and teams, plus a Convert API for developers building solving, tutoring, and grading products.

All-in-one in-browser AI assistant. Multi-model.

Same shape as Sider — multi-model AI sidebar that follows you across the web. Strong on quick actions (summarise, rewrite, translate) and saved prompt templates.

Simulate, evaluate, and observe AI agents end-to-end.

An end-to-end platform for testing and monitoring AI agents across their lifecycle. It combines a prompt experimentation IDE, agent simulation across scenarios and personas, offline and online evaluations with custom metrics, and production observability with tracing and alerts. Aimed at teams shipping reliable agentic and RAG systems.

Reads + writes GitHub from any MCP-aware agent.

Official GitHub MCP server. Wired into Claude Code and most agentic surfaces to read PRs, post comments, create branches, and run secret-scanning.

Postgres + auth + edge functions from inside the agent.

MCP server that exposes Supabase project ops — list tables, apply migrations, deploy edge functions, fetch advisors. Removes a context-switch cliff between code and database.

Long-term memory layer for AI agents. Self-hostable.

Persistent memory store + retrieval pipeline for agent applications. Handles per-user/per-session/per-agent scope cleanly; pairs with OpenAI, Anthropic, and local models.

Multi-model AI assistant in a browser side-panel, on any tab.

A Chrome extension and web app that opens a Claude / GPT / Gemini / DeepSeek panel on any page (Ctrl/⌘+M) to summarize articles, chat with PDFs, draft replies on Gmail and LinkedIn, and answer alongside Google results. One subscription spans many models on a shared query-credit allowance.

Text- and image-to-3D models, textures, and rigging.

Generate production-ready 3D assets from text or images — meshes, PBR textures, and auto-rigging, with exports for Blender, Unity, and Unreal. A staple of the AI 3D workflow.

Microsoft's assistant across Windows, Edge, and Microsoft 365.

Microsoft's everyday assistant — chat, image generation, and Copilot Vision, woven into Windows, Edge, and the Microsoft 365 apps. The consumer front-door to Microsoft's AI.

The brand-name image generator. Discord-native, web app available.

Hosted image generation that defined the category. Strong aesthetic defaults, style references, and rich prompt-control vocabulary. Used by designers, illustrators, and prompt artists worldwide.

Distributed open-source vector DB built for billion-scale.

Cloud-native, Apache-2.0 vector database for similarity search at scale, powering RAG, semantic and multimodal search, and recommendations. Its distributed architecture separates storage and compute and supports many index types (HNSW, IVF, FLAT, DiskANN, SCANN) with quantization and mmap. Created by Zilliz, which offers the managed Zilliz Cloud.

Serverless GPUs. Run training, inference, batch jobs from Python.

Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

The musician's app: AI stem separation, chord detection, and practice tools.

An AI music suite that splits any track into isolated stems (vocals, drums, bass, and more), removes vocals, and detects chords and key. It adds practice-focused tools — pitch and tempo control, a smart metronome, and recording — across web, desktop, and native mobile apps.

All-in-one AI assistant sidebar for any browser tab.

Monica is an all-in-one AI assistant that lives in a browser side-panel and across mobile and desktop apps, bundling chat, search, writing, translation, and page or video summarization. It aggregates many frontier models — plus image and video generation — into one subscription that works alongside any webpage.

Tiny open vision-language model for efficient image understanding.

An open-weights family of small vision-language models for captioning, visual Q&A, pointing, counting, and object detection — small enough to run on-device (checkpoints down to 0.5B on Hugging Face). Run it locally with the Photon engine, or call Moondream Cloud's OpenAI-compatible API with a free monthly credit tier and pay-per-image pricing.

Fast models that apply AI code edits to files in milliseconds.

Infrastructure for coding agents centered on Fast Apply, a specialized model that merges AI-generated edits into files at ~10,500 tokens/sec instead of full-file rewrites or brittle search-and-replace. Also serves WarpGrep code search, context compaction, and a model router via an OpenAI-compatible API. Used in production by JetBrains, Vercel, and Webflow.

Open-source AI answer engine with a generative UI.

A self-hostable answer engine that returns comprehensive, cited answers with a generative UI that adapts per query rather than a list of links. It offers a Quick mode and an Adaptive multi-step research mode, saves searchable history, and is provider-agnostic across LLM and search backends. Apache-2.0, deployable to Vercel in one click, with a free hosted instance at morphic.sh.

AI music generator for songs, vocals, and instrumentals from a prompt.

An AI music platform that generates original songs, vocals, and instrumentals from text or lyrics, with stem export, voice cloning, and multi-language support. It runs its own in-house models — the Mureka O1 reasoning model and V6 — and exposes an API for developers alongside the web app. The free tier has generation limits; paid tiers add higher quotas and commercial licensing.

Fair-code workflow automation with first-class AI nodes.

Visual workflow builder bridging APIs, databases, and AI providers. Self-hostable; commercial cloud available. The default Zapier-style surface for the agentic-workflow crowd.

Grounded research notebook — chat your sources, get Audio Overviews.

Google's source-grounded research tool — upload docs, PDFs, and links, then ask questions answered only from your material, with citations and shareable Audio Overviews. Powered by Gemini.

Self-hosted AI workspace with a ChatGPT-style UI for local and API models.

A self-hosted, privacy-first AI workspace offering a ChatGPT/Claude-like interface with agent capabilities, memory, and productivity tools (PDF/Office, built-in MCP servers). It connects to local models via llama.cpp, Ollama, or vLLM, or to API providers like OpenAI and OpenRouter, and ships Docker support for Linux, macOS, and Windows. Free and open source under MIT.

Run open-weight LLMs locally with one command. OpenAI-compatible API.

The de-facto way to pull and run open-weight models (Llama, Qwen, Gemma, DeepSeek, gpt-oss) on your own machine — no API key, no data leaving the device. Ships native macOS/Windows/Linux apps, an OpenAI-compatible server, and official Python/JS libraries. MIT-licensed and free locally; an optional paid Ollama Cloud runs larger models.

Open-source, self-hosted AI chat and enterprise search over your own docs.

Onyx (formerly Danswer) is an open-source AI chat and RAG platform that connects to your company's docs and apps for grounded, cited answers, and works with any LLM. It is self-hosted via Docker/Kubernetes and supports local models, keeping data on your own infrastructure. The core is MIT-licensed and free; an open-core model puts optional enterprise features under a separate license, and the vendor also offers a managed cloud.

Natural-language interface that lets LLMs run code locally in your terminal.

Gives LLMs a ChatGPT-like terminal interface to write and execute Python, JavaScript, Shell, and more on your own machine, asking approval before each run. It works with hosted models or fully local models via Ollama, LM Studio, or Jan using a --local flag. Free and open source under AGPL-3.0; you supply your own model (API key or local).

OpenAI's open-source coding agent for the terminal.

A lightweight, open-source coding agent that runs locally in your terminal, reading your repository, editing files, and running commands in a conversational loop you review in real time. Built in Rust for speed, it supports Model Context Protocol tools, subagents for parallel tasks, and switching between GPT models. Sign in with a ChatGPT plan (Plus, Pro, Business, Edu, or Enterprise) or use an OpenAI API key.

Local-first personal AI assistant you run on your own devices, on any platform.

A self-hosted, local-first personal AI assistant with a gateway as the control plane, reachable across messaging channels like WhatsApp, Telegram, Slack, and Discord. It runs on macOS, Linux, Windows, iOS, and Android, with an onboarding wizard for setup. Free and open source under MIT; you supply your own model API key.

Open-source autonomous SWE agent. Successor to OpenDevin.

Self-hostable agent platform with a browser, terminal, and editor in a sandbox — comparable to Devin in shape, open in licence. Active research community pushing the autonomous-SWE bar.

Replace frontier-model spend with a fine-tuned small model.

Captures your production OpenAI / Anthropic calls, builds a dataset, fine-tunes a small open-weights model on your traffic, then serves the swap behind your existing SDK. The pitch: 10x cost reduction at parity.

One OpenAI-compatible API in front of 300+ models from every provider.

A unified gateway that routes a single endpoint and API key to models from Anthropic, OpenAI, Google, Meta, DeepSeek, xAI, and more — swap models by changing one parameter, with automatic fallbacks and one consolidated bill. Pass-through token pricing plus dozens of free models.

Open-source LLM evaluation, tracing, and monitoring.

Open-source platform from Comet for debugging and evaluating LLM and agent apps: full tracing of calls, tools, and agent steps, LLM-as-a-judge and heuristic evals, prompt management, and production dashboards. Self-host via Docker or Kubernetes, or use Comet's hosted cloud.

Turns long videos into viral short clips with AI captions and auto-reframing.

Repurposes long-form videos and podcasts into short, vertical clips ready for TikTok, Reels, and Shorts. The AI finds the most engaging moments, adds animated captions, reframes to keep speakers centered, and scores each clip's virality. Credits are billed per minute of source video, not per clip produced.

AI meeting notetaker — live transcription, summaries, and AI chat for meetings.

Records and transcribes meetings in real time with speaker identification, then generates summaries and action items. An AI chat answers questions across your meeting history, and the Otter agent can join calls on Zoom, Google Meet, and Teams to take notes automatically.

High-accuracy web search and research APIs for AI agents.

Parallel gives AI agents programmatic access to the web through a suite of APIs — a Search API, a Task API for structured extraction, and a Deep Research API for multi-hop questions — all served from its own proprietary web index and retrieval stack. It optimizes for high-signal, low-noise context fed straight into a model rather than ranking URLs for human clicks. Pricing is per request (the Search API starts at $0.005 per call) with a free allotment to start.

Automated evaluation, guardrails, and monitoring for AI systems.

Platform for evaluating, guarding, and monitoring LLM and agent applications across the deployment lifecycle. Anchored by research-backed evaluator models — Lynx (hallucination detection), GLIDER (LLM judge), and Percival (agent-trace debugger). Offers a self-serve API with free credits, usage-based pricing, and enterprise plans.

AI-augmented search. Cited answers, consumer + Sonar API.

Hybrid search engine that returns synthesized answers with inline citations rather than a list of links. Ships a consumer product and the Sonar API for adding cited search to your own apps and agents.

Vector similarity search inside Postgres. The pragmatic default.

Postgres extension that adds a vector type plus exact and approximate nearest-neighbour search. Pairs naturally with Supabase, Neon, and any managed Postgres. The lowest-friction RAG backend if you already run Postgres.

AI photo editor and listing studio for product images.

An AI photo editor focused on product photography — background removal, product staging, virtual models, batch exports, and templates for marketplaces. Available on web and mobile, with an API for generating commerce visuals at scale. Built on the company's own image and segmentation models.

Playful AI video with Pikaffects, ingredients, and quick edits.

Pika Labs' video generator — text- and image-to-video with signature effects (Pikaffects), character ingredients, and fast iteration. Popular for social-native, fun clips.

Managed vector database. The industry-default serverless option.

Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, integrations across every framework. Most Blokz-adjacent AI teams reach for it first.

Connect APIs, AI, and databases with code-level workflows.

A workflow automation platform where steps are pre-built triggers/actions or arbitrary Node.js and Python code, glued across 3,000+ managed app integrations with hosted auth. Pipedream Connect embeds those integrations into your own product or AI agent, and the catalog is exposed MCP-natively so agents can call any connector as a tool.

One app for many AI models — chat and build bots across providers.

Quora's aggregator that puts models from Anthropic, OpenAI, Google, xAI, Meta, and others behind a single subscription, alongside image and video bots. Anyone can build a custom no-code bot in minutes, and creators are paid based on usage. Available on web, mobile, and desktop, with an API for developers.

Open-source LLM eval CLI. Rubric scoring + golden sets.

YAML-driven eval harness. Pair a prompt with a goldset, define rubrics, run across multiple models in CI. Strong for catching prompt regressions before they hit production.

Type-safe Python agent framework, the Pydantic way.

An open-source Python framework for building production-grade agents with validated, structured outputs instead of raw-string parsing. Model-agnostic across OpenAI, Anthropic, Gemini and many more, with composable tools, durable execution, MCP support, and built-in observability via Pydantic Logfire. MIT-licensed from the team behind Pydantic.

Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.

AI code review and test generation across IDE, PRs, and CLI.

Qodo (formerly CodiumAI) is a code-quality platform that runs AI review on pull requests, generates tests, and assists inside the editor. Its multi-agent reviewer pulls context from the codebase and PR history across GitHub, GitLab, Bitbucket, and Azure DevOps, with VS Code and JetBrains plugins plus a CLI so issues surface before merge.

Open-source evaluation toolkit for RAG and LLM applications.

Open-source (Apache-2.0) Python framework for evaluating retrieval-augmented generation and LLM apps. Provides reference-free metrics — faithfulness, answer relevancy, context precision/recall — plus knowledge-graph-based synthetic test generation. Integrates with LangChain, LlamaIndex, and CI pipelines.

Productivity launcher with built-in AI and a 1,500+ extension store.

A keyboard-driven command launcher that replaces Spotlight with app launching, clipboard history, window management, snippets, and a large store of community extensions. Raycast AI adds a model-switching assistant and quick AI commands directly in the command bar. Native on macOS with a Windows version in beta as of late 2025.

Design-grade image + vector generation with brand consistency.

Image generator aimed at designers — raster and true vector (SVG) output, brand style sets, mockups, and precise control. Strong when assets need to ship into real design work.

Agentic document parsing and extraction for AI teams, via one API.

A document-intelligence API that parses, splits, extracts, and edits PDFs, images, spreadsheets, and slides into clean, structured output for RAG and AI pipelines. It blends custom in-house models with frontier ones and bills via usage credits, automatically discounting pages it can parse without the heavier pipeline.

AI-native workflow automation with humans in the loop.

A workflow automation platform that connects 200+ apps and AI models to automate collaborative business processes. It differs from classic automation tools by treating people as first-class steps — approvals, data-input forms, and AI-output reviews — and by offering native AI extraction, classification, and custom AI steps across providers. Founded by ex-Google Gmail/Calendar PM Jacob Bank.

Run, fine-tune, and deploy thousands of open models via one API.

A platform to run open-source models with one API call — image, video, audio, and language — plus fine-tuning and custom deploys with pay-per-second billing. No infra to manage.

Cloud IDE + Agent that builds, runs, and deploys from a prompt.

A browser IDE with Replit Agent — describe an app and it scaffolds, codes, runs, and deploys it, with a hosted database and one-click publish. Zero local setup, ships from anywhere.

Build, test, and deploy AI voice agents for phone calls.

A no-code platform for humanlike voice agents that handle inbound and outbound phone calls — receptionists, IVR, and outbound campaigns. It bundles telephony (SIP / Twilio), a proprietary turn-taking model for low-latency conversations, prompts, tools, and call analytics. Pay-as-you-go pricing with free starter credits.

AI image generation and editing with 4K and precise text.

Reve is an image generation and editing platform built around its own model. It separates planning from rendering — representing an image as an editable, code-like layout before drawing it — which enables lossless iterative edits, native 4K output, and reliable in-image text rendering for graphic design.

Vision MLOps end-to-end. Annotate, train, deploy.

Annotation tooling, auto-labelling, hosted training, and edge deployment for computer-vision projects. Strong default when you're shipping a custom vision model rather than reaching for a multimodal LLM.

Deemos' image-to-3D for high-fidelity, production-ready meshes.

Deemos' Rodin (Hyper3D) turns images or text into high-fidelity 3D models with clean geometry and PBR materials, aimed at game and film asset pipelines.

GPU cloud for AI — on-demand instances and serverless inference.

Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

Professional video AI. Gen-series models + a full editor.

End-to-end video AI platform — text-to-video, image-to-video, in-painting, motion brush, and a timeline editor. Longest-running studio in the space; default choice when the output ships to clients.

Fast inference for open models on custom RDU chips.

Inference cloud running open-weight models — Llama, DeepSeek, Qwen, gpt-oss — on SambaNova's RDU hardware at hundreds of tokens per second, including full-precision Llama 405B. Provides an OpenAI-compatible API with a free tier and pay-per-token pricing.

AI research assistant: search, read, and review the literature.

AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator. Formerly Typeset.io; introduced agentic 'Deep Review' literature search in 2025. Free Basic tier with paid upgrades.

Turn any webpage into structured data with one prompt-driven API call.

ScrapeGraphAI is an AI web-scraping tool that extracts structured data from pages and documents using natural-language prompts instead of CSS selectors or XPath, orchestrating LLMs in graph-style pipelines (single-page, multi-page, search, crawl). The core library is open-source under the MIT license with Python and Node SDKs; a hosted API adds a credit-based free tier and paid plans, plus integrations with LangChain, LlamaIndex, n8n, and an MCP server.

Conversational voice companion chasing "voice presence."

A conversational-speech company building lifelike voice companions — Maya and Miles — that interrupt, self-correct, and use natural pacing. The web demo lets you talk to them in real time, and Sesame has open-sourced its underlying CSM (Conversational Speech Model) base model. Co-founded by Oculus co-creator Brendan Iribe.

Multi-model AI side-panel for any browser tab.

Browser extension that drops a Claude / GPT / Gemini panel onto any page — summarize the article, chat with the PDF, translate the YouTube transcript. Pluggable across providers in one subscription.

Enterprise AI agents for customer experience across channels.

An enterprise platform ('Agent OS') for building conversational AI agents that take action for customers across chat, voice, email, SMS, and WhatsApp. Supports both no-code and programmatic agent development. Founded by Bret Taylor and Clay Bavor and used across a large share of the Fortune 500.

Self-hosted LLM chat frontend for power users, with characters and many backends.

A self-hosted, browser-based LLM frontend aimed at power users, with rich character cards, prompt control, extensions, and group chats. It runs as a local Node.js server on Windows, macOS, Linux, and Android (via Termux), connecting to many backends — OpenAI, Anthropic, plus local runtimes — using your own keys. Free and AGPL-3.0 licensed with no paid tier.

Open-source visual builder to create, deploy, and orchestrate AI agents.

An open-source workspace for building AI agents on a Figma-like drag-and-drop canvas, conversationally, or in code. It connects LLMs to 1,000+ integrations plus knowledge bases and structured tables, then deploys a workflow as an API, scheduled job, webhook handler, or standalone chat app. Apache-2.0, YC-backed, and runnable in Sim's cloud or self-hosted via npm or Docker.