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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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The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
A programming framework for agentic AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Hindsight: Agent Memory That Learns
Build resilient agents.
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, and Google Antigravity
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
Mastra is the modern TypeScript framework for AI-powered applications and agents.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
AI Observability & Evaluation
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
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
Next Generation Agentic Proxy for AI Agents and MCP servers
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
A HTTP credential proxy and vault for AI agents like Claude Code, OpenClaw, Hermes, custom agents + harnesses, and more.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.
Open HTTP protocol for human decisions in AI agent workflows. Service-hosted reviews, structured approvals, selections and forms, with optional messenger actions.