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Awesome List
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
GitHub stars and default-branch commits for Picrew/awesome-agent-harness.
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The batteries-included agent harness.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Harness engineering beginner tutorial, from 0 to 1
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
Multi-Agent Harness for Production AI
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents
Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.
A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software with spec-driven development, TDD, persistent memory, quality gates, code intelligence, human oversight, and end-to-end verification.
Reference code for the Meta-Harness paper.
Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.
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 it counts. Quality gates that AI can't skip.