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
19 repositories
Formerly Awesome ChatGPT Prompts: a huge community library of prompts plus an interactive book on prompting. You can deploy your own private copy.
A collection of system prompts and tool descriptions from popular AI products: Cursor, Devin, Windsurf, Lovable, Manus and others. Useful for studying how pros build them.
A large collection of ready-made LLM apps: agents, RAG systems and skills for coding agents. Every template can be run and taken apart piece by piece.
The largest community-curated list of MCP servers, sorted by category from databases to browsers. The place to look for an existing server before writing your own.
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 curated list of skills, subagents, plugins, status lines and tools for Claude Code. A handy map of the ecosystem around the coding agent.
A catalog of AI agent use cases by industry: healthcare, finance, education, retail. Each use case links to an open-source project.
More than 90 projects on LLMs, RAG and agents, sorted by difficulty from beginner to advanced. Each project has its own write-up and code.
More than 40 runnable notebooks with RAG techniques, from basic retrieval to advanced setups. Each one has the idea, the code and references.
A curated list on large language models: milestone papers, open models, training and inference frameworks, courses and books. A good reference for a first look at the field.
Twelve principles for building LLM apps good enough to put in customers' hands: own your prompts, own your context, small agents, explicit control flow.
A collection of 280+ free n8n templates: email, Telegram, Slack, Google Drive, Notion, OpenAI, RAG chatbots and document processing. Each template is a ready-made JSON.
Companion materials for Chip Huyen's book AI Engineering: table of contents, chapter summaries, study notes, prompt examples and case studies. The book covers adapting foundation models to real tasks.
LiveKit's framework for realtime voice AI agents: the agent joins a call or room, listens, thinks and answers by voice.
The source of truth for MCP: the specification, protocol schema and official docs. This is where the way models connect to tools and data gets defined.
Companion materials for Chip Huyen's Designing Machine Learning Systems: table of contents, chapter summaries, an MLOps tools overview and a resource list. There is no code, the book is about design decisions.
A benchmark of hard terminal tasks: a set of assignments and a runner where the agent acts as an admin or developer. Has a leaderboard.
A curated list of tools, papers and projects on LLM security: white-box and black-box attacks, backdoors, defense, platform security. A handy starting point for surveying the field.
The archive of the OWASP Top 10 for LLM Applications: the ten main risks with descriptions and mitigations. The current 2026 release has moved to the GenAI Security Project repository.
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