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Awesome List
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub stars and default-branch commits for ai-boost/awesome-harness-engineering.
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An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
A lightweight, powerful framework for multi-agent workflows
#1 Persistent memory for AI coding agents based on real-world benchmarks
The best agent harness.
Multi-Agent Harness for Production AI
Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
Meta Harness Implementation
Continual harness optimization