Awesome Agent Harness

Agent S: an open agentic framework that uses computers like a human

SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.

Secure, Fast, and Extensible Sandbox runtime for AI agents.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Give your agents the power of the Hugging Face ecosystem

Multi-Agent Harness for Production AI

🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

AI Observability & Evaluation

An Open-Source Asynchronous Coding Agent

Open source MCP Servers for AWS

Cybersecurity AI (CAI), the framework for AI Security

"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

Build effective agents using Model Context Protocol and simple workflow patterns

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Demo of a customer service use case implemented with the OpenAI Agents SDK

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.

结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

AIOS: AI Agent Operating System

A model-driven approach to building AI agents in just a few lines of code.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.

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

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.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

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.

Our library for RL environments + evals

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

Open-source security automation platform for teams and AI agents

LangChain 🔌 MCP

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents

Devon: An open-source pair programmer

Evaluation and Tracking for LLM Experiments and AI Agents

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Framework for evaluating and improving agents

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Agent harness to make your slop code well-engineered and beautiful.

Deterministic execution for non-deterministic AI.

Security scanner for AI agents, MCP servers and agent skills.

The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

A benchmark for LLMs on complicated tasks in the terminal

One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch.