CTX - Context Runtime Engine for Coding Agents
A Powerful Search Server based on Cloudflare Worker, Enhance Your AI Tool with MCP

Context Engineering: Build Consistent, Accurate, Predictable AI Systems
Turn OpenAPI/Swagger services into managed MCP tools with a dashboard, authentication, path controls, and metrics.
Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Simple, modular, and observable Go framework for backend applications.
phpMyFAQ - Open Source FAQ web application for PHP 8.3+ and MySQL, PostgreSQL and other databases
Lightweight agent orchestration dev tool that lives in your repo
Collection of resources to help AI agents build better with Sanity.
:octocat: GitHub Emoji for C#, dotnet and beyond
A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
Git-backed control plane for AI-agent skills, tools, context, permissions, and identity. Self-hosted and MCP-native.
The semantic layer for software engineering: Connect code to meaning, build on understanding

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
Turn your local files into a Wiki for your agents. Open-source and local-first.
Open-source MCP knowledge mesh - self-host your second brain, expose it to AI agents, federate with peers.
A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.
UK legal API for AI agents and researchers.
Precision documentation from OpenAPI, MCP, Doxygen, and Markdown guides. Static HTML you own.
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.