Rails Engine with MCP compliant Spec.

An MCP server for parallel browser automation by AI agents with multiple cloud providers

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

Samurai-inspired multi-agent system for Claude Code. Orchestrate parallel AI tasks via tmux with shogun → karo → ashigaru hierarchy.

The operations layer for agentic engineering — portable skills and contracts connecting intent, agents, software factories, and independent judgment.

Turn tracker tickets into autonomous agent sessions

lnwjud — local AI-agent runtime & MCP gateway

Agent skills for Alpaca's Trading API and Broker API: drop-in SKILL.md files for AI coding assistants

🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams

Helping the Agents Compose the Things

Open-World Self-Evolution for LLM Agents — agents that build both their skills and their own verification signals from scratch, with no target-task supervision. (Code coming soon.)

GitHub-style CLI for Jenkins — manage contexts, runs, logs, and admin tasks from your terminal.

🤖🤮 Hate the yuck codes that agents generated? Try `alint`, a ESLint like toolchain for intent driven code check, freeze your skills, AGENTS.md to lint rules

⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, BYOK, fully self-hosted.

Public companion kit for ForgeCAD: examples, agent skills, docs links, and issue tracking. The hosted CAD app and core source live elsewhere.

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

A JupyterLab extension supporting Claude Code, Copilot, Ollama, and OpenAI-compatible LLMs, with MCP, skills, plugins, and notebook agents.

The open standard for agent coordination

let any ai agent use the local browser

Better subagent experience for Codex and Claude users