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
23 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 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 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 library that lets an agent drive a browser: open sites, click, fill in forms. Works with a local browser or a cloud one.
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 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.
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.
The easiest vector database to start with: it runs inside your app process, stores documents and finds similar ones. Great for prototypes, with a client-server mode and a cloud.
The open Qwen3 model family from Alibaba, from small to large, with reasoning modes. The README collects run examples for Transformers, llama.cpp and Ollama.
An open agentic-engineering platform: CLI, IDE plugins and a cloud. One of the most popular open-source coding agents.
A compact multimodal model that understands images and video and fits on a phone or laptop. Ships an online demo and a web demo you can self-host.
The Qwen team's family of multimodal models: understand images, documents and video, locate objects in a frame and work with UIs.
A pytest-style framework for testing LLM apps: ready-made metrics for RAG, agents and chatbots, plus trace-based checks. Results can be pushed to a cloud.
A vector database that stores both objects and vectors and combines semantic search with ordinary filters. It can call embedding models itself.
Isolated cloud sandboxes where an agent can safely run code and commands. One SDK call gives the model its own small computer.
A collection of open-source MCP servers for AWS: infrastructure, docs, data, AI services. Lets an agent work with Amazon's cloud in a controlled way.
A lightweight 82M-parameter text-to-speech model that sounds far better than its size suggests and runs fast locally.
Supabase's official MCP server: an agent manages projects, tables and SQL right from chat. Runs as a hosted server with login through your Supabase account.
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