Awesome Agent Harness

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Browser Harness | Self-healing harness that enables LLMs to complete any task.

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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

Supercharge Your LLM Application Evaluations 🚀

"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"

Personal memory across agents

Open-source, secure environment with real-world tools for enterprise-grade agents.

A framework for few-shot evaluation of language models.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

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

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

AI Observability & Evaluation

Give your agents the power of the Hugging Face ecosystem

Multi-Agent Harness for Production AI

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

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!

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

An Open-Source Asynchronous Coding Agent

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.

Cybersecurity AI (CAI), the framework for AI Security

Open source MCP Servers for AWS

"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 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

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!

可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

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

AIOS: AI Agent Operating System

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.

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

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

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

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

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.

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

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

Framework for evaluating and improving agents

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.

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

Open-source security automation platform for teams and AI agents

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

LangChain 🔌 MCP