Agent Harness topic
Agent harnesses are the runtime scaffolding around AI agents. They usually combine context delivery, tool interfaces, planning state, memory, sandboxes, permissions, evaluation, and observability so agents can complete longer tasks reliably. Agent harnesses are especially common in coding agents, research agents, and multi-agent workflows where repeatability, safety, and traceability matter.
thClaws
Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.
openrig
Multi-agent harness that runs Claude Code and Codex together as one system
oh-my-agent
Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards.
Chorus
The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)
lacp
Control-plane-grade agent harness for Claude, Codex & Hermes: policy gates, verification/evidence loops, memory, and auditable execution.
maestro
Agent harness for codebases. Gives Claude Code, Codex, and CI a shared task system, verdict ledger, and state store so agent work is traceable and auditable.
sd0x-dev-flow
The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual review, state-machine gates that survive context compaction, and fail-closed safety where...
agent-harness-kit
A provider-agnostic scaffolding kit for running structured multi-agent workflows in your codebase.
awesome-harness-engineering
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
awesome-agent-harness
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.