A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
The AI movement's repository database
The best AI repositories
224 living projects — from agent frameworks to prompt-injection defense. Each comes with our own note: why it matters, who it is for and how to start in three steps.
Stars, forks and activity refresh daily via the GitHub API · updated October 6, 2026
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A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
An open coding agent for the terminal with a desktop app. It is not tied to one provider: plug in whichever models you have.
A toolkit for spec-driven development: principles and a spec first, then a plan and tasks, and only then code. Works with several coding agents.
OpenAI's lightweight coding agent that runs in the terminal and works on your project's code. Written in Rust.
Categories
Agent frameworksFrameworks and orchestration: what agents and multi-agent systems are built from.23 repositoriesCoding agents & CLIAgents that write code in the terminal and editor, and the methods for working with them.21 repositoriesMCPThe Model Context Protocol spec, official SDKs and the best servers.20 repositoriesOpen models & inferenceOpen weights, local runs, fast inference and fine-tuning.38 repositoriesRAG & vector DBsSearch over your own data: document parsing, crawlers, vector databases, knowledge graphs.19 repositoriesEvals & observabilityHow to measure a model or agent and see what happens inside it.17 repositoriesPrompting & contextPrompts, structured output, skills and context engineering.16 repositoriesVoice, video, multimodalSpeech recognition and synthesis, voice agents, images and video.19 repositoriesAutomationNo-code workflows, browser and computer-use agents.15 repositoriesAwesome lists & learningCourses, books and awesome lists worth starting with.21 repositoriesSecurityPrompt injection, guardrails, red teaming and agent scanners.15 repositoriesMissing your favorite?Suggest a repository — we will review it and add it if it earns a spot.Suggest a repo →
Catalog
29 repositories
An automation platform with a visual editor: connect services with blocks and add your own code or AI agents where needed. 400+ integrations, self-hostable.
A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
A platform where you build agents in a visual builder or by describing them in plain words, then run them on a schedule or a trigger. Hosted version plus free self-hosting.
Formerly Awesome ChatGPT Prompts: a huge community library of prompts plus an interactive book on prompting. You can deploy your own private copy.
A workspace for building AI apps: agentic workflows, RAG pipelines and a choice of models and tools in one interface. Deploy in the cloud or self-host.
A visual builder for AI agents and workflows in Python: drag components, test the chain in chat and publish it as an API.
A self-hosted ChatGPT-style interface that connects to Ollama and any OpenAI-compatible API. Installs with a single Docker command and runs on your own server.
A ready-made RAG engine with a UI: it parses documents with templates, chunks them, searches with citations and supports agentic retrieval. Deploys with Docker.
An open AI-developer platform: the agent writes code, runs commands and browses the web. Runs locally or on a shared server for a team.
An open-source Python crawler: it visits pages with a real browser and returns clean Markdown for LLMs. Runs locally, in Docker or as a cloud service.
A platform where you assemble a team of AI agents, schedule them and get reports. Works with many models; deploy on Vercel or with Docker.
A ready-made «chat with your documents» app: plug in any model and vector database, upload files and talk to them. Has a desktop version, Docker and agents.
A large collection of ready-made n8n workflows with a searchable web UI. Find a similar automation and use it as a starting point.
A long-running builder of "agents" that watch the web and events and act on your behalf: send emails, collect data, trigger chains. Runs on your own server.
A local replacement for cloud APIs: an OpenAI-compatible server that runs text, voice and image models on any hardware, no GPU required.
A vector database for embedding search at large scale. It scales to cloud workloads, and for prototypes there is a lightweight local version, Milvus Lite.
A framework and runtime for agent platforms: an SDK to build, AgentOS to serve agents as a service with an API, and a web UI to manage them. Your data stays with you.
An open platform that shows every model call: traces, cost, quality scores and prompt versions. Use it in the cloud or self-host it.
A fast Rust vector database with payload filtering, hybrid search, quantization and a distributed mode. Available as a container and as a cloud service.
A collaborative workspace to build, deploy and monitor AI agents and workflows: chat on the left, visual builder on the right. Cloud, self-hosted and a macOS app.
An orchestration and scheduling platform: workflows are declared in YAML and run on events or schedules. Fits data pipelines and AI integrations alike.
A long-standing ML platform that now covers LLM apps too: tracing, evaluation, a prompt registry and a model gateway. Plugs into most frameworks.
An AI automation platform with a friendly UI. Its TypeScript "pieces" automatically become MCP servers usable from Claude Desktop, Cursor and others.
A Postgres extension that adds a vector type and nearest-neighbor search. It lets you keep embeddings next to regular data without running a separate database.
AI-driven browser workflow automation: the agent looks at the page, understands it and performs steps even after the site's layout changes.
A platform for debugging and evaluating LLM apps: traces, automated quality checks and dashboards. Supports RAG and agent chains, and can be self-hosted.
A developer platform that turns scripts into webhooks, workflows and UIs. A fast job engine and an open alternative to Retool and Temporal.
A vector database that stores both objects and vectors and combines semantic search with ordinary filters. It can call embedding models itself.
A gateway and observability platform: change the API address in your code and all model requests get logged, costed and compared. Can be self-hosted.
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