⌥ Coding agent with the IDE wired in

Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.

Provider-neutral control plane for durable-state agent swarms: subprocess workers, leases, artifacts, memory, and deterministic stitching.

Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.

Token efficient Claude Code full Python rebuild. AI Coding Agent in 310K LoC Python.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Continual Learning & Self-improving skills system for Claude Code - learn from corrections, never repeat mistakes

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Agent skill for modern Android development with Jetpack Compose — best practices for code generation and review

ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

Automated quality checks that nudge AI coding agents toward better habits

Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

Rails Engine with MCP compliant Spec.

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

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.

Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.

Tools for AI agents to test, fix and optimise your codebase

Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably

Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.

Universal mobile devtool for Agents & Humans - control iOS Simulators, Android Emulators, and real devices from a single dashboard and CLI

Browser automation MCP server for Claude, powered by Puppeteer.

The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.