Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
lnwjud — local AI-agent runtime & MCP gateway
An Agent Skill helping you to optimize Xcode incremental and clean builds by running benchmarks and optimizing build settings.

Your ultimate Go microservices framework for the cloud-native era.
Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.
Turn Pi into el Gentleman: a senior-architect development harness with SDD/OpenSpec, subagents, strict TDD evidence, review guardrails, and skill discovery.
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
A test runner for agentskills.io-style AI agent skills
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Empryo issue tracker + SoulForge (v2). Empryo is the graph-powered AI coding agent that edits symbols, not strings: AST surgery, full LSP, a live code genome. Get it at https://empryo.com
DeepSeek Harness plugin: give your agent a browser with a persistent identity - engine-level fingerprint spoofing, unlimited free local profiles, Android device emulation, passkeys that survive, and residential proxy egress.
Token-efficient, local-first CLI tools for coding agents - compact Maven, npm/Node, and Go test output plus reusable development helpers.
Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

The multi-agent harness that checks the work: verifies agent runs by artifacts (stop-hook gates, independent judges, append-only event logs) across Claude Code, Codex, Cursor, and 10+ runtimes.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)
Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord
The official Java SDK for Model Context Protocol servers and clients. Maintained in collaboration with Spring AI
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.