Outcome driven agent development framework and runtime harness

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.

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

Evolvable, distributed agent framework & harness for data science.

A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

AutoHarness: Automated Harness Engineering for AI Agents

Autonomous AI agent team for one-man companies. Context engineering + harness engineering drive a pipeline that brainstorms, builds, reviews, and ships.

Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。

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

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.

OpenHarness is a long-term, fully autonomous AI agent execution framework for OpenClaw built on the concept of Harness Engineering. It enables your AI to work tirelessly for you 24/7 with just a single command. syycy2021@gmail.com, From the Interdisciplinary Professor Shenyang Team at Tsinghua University

Context engineering for coding agents - CLAUDE.md templates, mechanical enforcement, and a field guide to 20+ best practices. Bootstrap with one command.

One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows.

Open-source enterprise AI workforce platform — containerized roles, declarative skills, MCP tools, policy-driven security, K8s-native scheduling

Autonomous AI Agent Harness — persistent memory, SWARM orchestration, event-driven triggers. The KAIROS pattern, built independently before the Claude Code leak. pip install adam-framework

Developer-first Python framework for AI agents with built-in budget control, context, memory and observability.

Claude Code 的 CLAUDE.md、Skills 與 Subagents 學習資源與最佳實踐整理。 本倉庫彙整自 Anthropic 官方文件、社群文章與熱門 GitHub 儲存庫，聚焦於實務上可直接採用的設計模式、工作流程與範例。內容主要是學習整理與資源 整編，並非原創研究。