Awesome Agent Harness

🙌 OpenHands: AI-Driven Development

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

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

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀

the runtime your coding agents live on

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

Get 10X more out of Claude Code, Codex or any coding agent

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.

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]

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Open source agentic operating system

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

MCP Toolbox for Databases is an open source MCP server for databases.

Harness engineering beginner tutorial, from 0 to 1

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

Multi-Agent Harness for Production AI

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!

An Open-Source Asynchronous Coding Agent

✨ Build AI agents and web apps — with a single binary.

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!

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.

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

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

Open-source All in One AI agent workspace. Run any agent — Claude Code, Codex — across your tools (100+ integrations + MCP), apps, browser, and files, with shared memory. Built-in models or BYOK.

ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

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!

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

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

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

Agent Skills as a Memory Layer

Devon: An open-source pair programmer

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

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

A framework-agnostic, git-native standard for defining AI agents

A production-oriented multi-agent orchestration framework.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.

The Cloud Sandbox Built for AI Agents

A desktop multi-agent harness built with Rust, Tauri, and React, powered by langgraph-rust.

The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.