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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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Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.
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.
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
The best-benchmarked open-source AI memory system. And it's free.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Build resilient agents.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
A lightweight, powerful framework for multi-agent workflows
The batteries-included agent harness.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
The LLM Evaluation Framework
Open-source, secure environment with real-world tools for enterprise-grade agents.
Multi-Agent Harness for Production AI
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Build effective agents using Model Context Protocol and simple workflow patterns
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
AI observability platform for production LLM and agent systems.
The World's First Virtual Terminal for AI Agents
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.