The batteries-included agent harness.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
Multi-Agent Harness for Production AI
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.
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
A model-driven harness for AI coding agents: semantic modeling, app generation, progressive API Assist and evidence-based verification.
An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
Official code for Meta-Harness (2603.28052)
AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.
🏆 Ranked list of 167 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly.
Context drive for your AI agents
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, with optional seamless integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode
Learn AI agents from scratch.
AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
不是问答机器人,而是能真正干活的数字分身。共享智能体,共享项目上下文,让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
Learn harness engineering by building Claude Code from scratch. Free, open-source course: 8 articles, 6 videos, 1 codebase.
HugAgentOS: The Self-Evolving AgentOS for Ontology-Grounded Trustworthy Reasoning
Harness Engineering 101 — building AI agents from first principles. The LLM is the brain; the harness is the body.
From ticket to reviewed pull request. Free and open-source, on your machine.
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
The System One harness for System One models. Run Jev and other System One models locally or directly on HarnessRouter.ai.
《从零开始玩转 DeepSeek Harness》——DeepSeek Harness 实战指南
AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
Self-evolution for any agent harness. Plug in. Evolve. Measure.
Agent Harness for long-running agents that remember, continue, and learn from real work.
Official implementation of WHALE (Weight-Harness Alternating Learning)
A lightweight coding agent 🧑💻 built from scratch, with tool calling, session persistence, workspace context, memory, and multi-provider LLM support 🛠️.
Tutorials, example projects, and reference code for practitioners building and operating agents with Rasa. Companion to rasa.community. Maintained by Rod Rivera.
Official implementation of “Harness Optimization for Agentic Multi-Reference Image Generation”
EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents