a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

OpenSwarm — Autonomous AI dev team orchestrator powered by Claude Code CLI. Discord control, Linear integration, cognitive memory.

Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN

Production Claude Code skills for n8n from a Verified Creator's 100+ workflows

LeanCTX — Context Intelligence for AI systems.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server

Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

The Loop Engine for Claude Code — engineer the loop, not the prompt. 1 router · 9 agents · 16 skills · 4 workflows. Fail-closed gates, test honesty, anti-anchored review.

Agentic coding framework powered by AGENTS.md: systematic, test-first workflows with quality gates for Cursor, Codex, Gemini CLI, and AI coding agents.

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

A collection of 265 rules across 26 categories that AI coding agents can use to write idiomatic, fast, and safe Rust.

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering.

Continual agent skill evolution through persistent decision history. Whole-skill optimisation (SKILL.md + scripts + references) with every decision landing as a local Git issue / PR / wiki. Runs on any agentskills.io runtime — Claude Code, Codex, OpenClaw, Hermes.

🚇 A plugin-based MCP server for React Native runtime debugging, inspection, and automation. Connects to Metro bundler via Chrome DevTools Protocol — no app code changes needed for most features.

Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.