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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 agentic skills framework & software development methodology that works.
Production-ready platform for agentic workflow development.
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.
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Universal memory layer for AI Agents
A programming framework for agentic AI
The best-benchmarked open-source AI memory system. And it's free.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
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
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
The batteries-included agent harness.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Open Source framework for voice and multimodal conversational AI
Open-source, secure environment with real-world tools for enterprise-grade agents.
Secure, Fast, and Extensible Sandbox runtime for AI agents.
Build effective agents using Model Context Protocol and simple workflow patterns
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
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.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
Zep | Examples, Integrations, & More
AI observability platform for production LLM and agent systems.
Next Generation Agentic Proxy for AI Agents and MCP servers
The missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
Squad: AI agent teams for any project
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
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.
Stash — persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required.
Every practical and proposed defense against prompt injection.