🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Turn tracker tickets into autonomous agent sessions
Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one setup script.
Tool-agnostic 13-phase AI development pipeline — turns a task description into reviewed, committed code through automated design, adversarial review, security, test, and code-review gates. One bash engine, balanced Opus/Sonnet routing, self-healing commit review.
Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.
Spec-driven, agentic workflow framework for AI coding agents. Turn a request into a verifiable goal loop — plan, act, verify — with durable specs and evidence in your repo. Works with Claude Code, Codex, Gemini, OpenCode, and plain CLI.
The most RAM efficient harness
Your AI forgets. This remembers. Spec-driven coding harness for vibecoders, product owners, CEOs and real builders — self-improving context memory, 15 agents, 33 skills working with /goal, agent-team, & workflow on autopilot loops with 0 need for human gate. Kills context rot, ships features, not spaghetti. Claude Code & Codex. Any stack
A kit for building with AI agents and also the engineering patterns around it.
Building a Senior Staff Engineer with Sub-Agent Teams in Claude Code
Complete AI Agent System for OpenClaw — memory, self-healing, self-improvement, voice, automation
The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)
a coding Agent, rpc plugin, sub-agents, hashline edits, and mcp
Multi-agent orchestration for Claude Code with 15-30% token optimization, self-improving agents, and automatic verification
A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.
A reusable agent workflow kit with personas, skills, rules, and memory files.
Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.
Agentic coding framework powered by AGENTS.md: systematic, test-first workflows with quality gates for Cursor, Codex, Gemini CLI, and AI coding agents.
Local-first runtime for project-scoped AI coding-agent sessions, with durable state, authority boundaries, and multi-harness interoperability.
Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.
AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.
IJFW — It Just F*cking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow.