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.

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.

Data Memory: the operational data context layer for AI agents - typed, versioned datasets over images, video, docs and tables

DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration.

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用AI创作高质量内容，用gpt-image-2创作的最佳生图工具，AI图片自动编排，小红书版Openclaw，自媒体创作者的AI工作台，小红书创作AI工具RedClaw，支持小红书图文下载、创作风格学习、小红书AI创作｜🌟 Star if you like it! ｜ 你桌面盒子里的AI小河狸🦫

Reference code for the Meta-Harness paper.

Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.

KWeaver Core is a harness-first foundation for enterprise decision agents. It turns fragmented data, knowledge, tools, and policies into governed context, safe execution, and verifiable feedback loops. With semantic modeling, real-time access, runtime control, and TraceAI, it helps AI systems reason, adapt, and act reliable in complex enterprises.

Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI-powered.

A general, evolvable, and distributed agent framework & harness for data science.

Harnessclaw is a powerful, Electron-based desktop application designed to manage, chat with, and operate AI agents and skills seamlessly.

AI agent tutorials for backend developers without AI background. 适合后端工程师的零基础 AI Agent 教程

An LLM programming assistant engine built with Go, supporting WebSocket, multi-turn dialogues, tool calling, permission control, and skill extension.

An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.

AutoHarness: Automated Harness Engineering for AI Agents

Agent skill for harness engineering — memory, permissions, context engineering, multi-agent coordination. Distilled from Claude Code, with Codex CLI and Gemini CLI on the roadmap. EN/ZH. Install via npx skills add.