A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
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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.
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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.
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31 repositories
A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
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 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.
Anthropic's official collection of Agent Skills: folders with instructions and scripts that Claude loads for a task. A good reference for writing your own.
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.
Anthropic's coding agent that lives in the terminal: it understands your project, edits files, runs commands and handles git from plain-language requests.
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.
A node-based builder for diffusion pipelines: wire up image, video and audio generation visually. Runs locally and exposes API endpoints.
Parses complex PDFs, scans and Office files into Markdown or JSON while keeping tables and formulas. Comes with a CLI, a Python SDK and an agent skill.
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.
An agile AI-driven development method: a set of role agents (analyst, architect, developer and more) and a process from idea to code. Installs as skills or a plugin.
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 low-level library for agents modelled as a state graph. It gives you long-running flows, saved progress and pauses for human approval.
OpenAI's lightweight SDK: agents, tools, handoffs between agents and guardrails. Few abstractions, so it is quick to learn.
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 TypeScript framework for agents and AI apps: agents, workflows, memory and quality evaluation in one place. A good fit for Node-based web teams.
A framework for assembling LLM apps from modular pipelines with explicit control over retrieval, routing and memory. Strong at RAG and search systems.
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.
An AI automation platform with a friendly UI. Its TypeScript "pieces" automatically become MCP servers usable from Claude Desktop, Cursor and others.
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 free MCP course from Microsoft: from basics and security to first servers, with examples in C#, Java, JavaScript, Rust, Python and TypeScript.
ETL for documents: it splits PDFs, emails, Word, HTML and images into typed elements (titles, paragraphs, tables) ready for chunking and embeddings.
Microsoft's newer framework for agents and multi-agent workflows in Python and .NET. It brings together ideas from AutoGen and Semantic Kernel.
A GitHub Action that plugs Claude Code into PRs and issues: it answers mentions, reviews changes and suggests or makes edits right in the repo.
The official Hugging Face Hub client: downloads and uploads models, datasets and demos from Python and the command line. Almost any workflow with open models runs through it.
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