A framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

🚀Apache RocketMQ build in Rust🦀. Faster, safer, and with lower memory usage. ⭐ Star to support our work❤️!

Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs

Curated list of AutoResearch use cases with optimization traces and open source implementations

A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

TDA - Thread Dump Analyzer (for Java). Analyze your Thread Dumps with a GUI or use it as MCP Server.

Context-Engine MCP - Agentic Context Compression Suite

Software architecture tooling for the AI age

The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.

Coding standards for AI coding assistants. Auto-detect tech stack, generate project rules. Works with Claude Code, Cursor, Antigravity, GitHub Copilot.

AI-native, markdown-first project management. Your repo is the project manager.

A sandbox for prototyping and demonstrating Agent Skills for MATLAB and Simulink work.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

AI-driven quality & governance MCP Server for dbt projects. Audit coverage, profile data, detect schema drift, and auto-generate documentation — all through natural language with your AI assistant.

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

LLM-powered OpenFOAM MCP server for intelligent CFD education with Socratic questioning and expert error resolution

All-in-One Desktop Agent Skills Utility. Welcome to the Skill Zoo, where all your skills live!

Agent-friendly Markdown-to-video automation pipeline with reproducible rendering and pluggable media providers.

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

Control 1 or more machines using computer use tools that integrates with your agents

Universal memory runtime for AI agents

Local-only web GUI for inspecting agent skills (SKILL.md) across user, project, plugin, cache, and marketplace sources