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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.

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.

Secure, 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.

A lightweight, powerful framework for multi-agent workflows

The batteries-included agent harness.

#1 Persistent memory for AI coding agents based on real-world benchmarks

How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.

Harness engineering beginner tutorial, from 0 to 1

Multiplayer agent harness for work.

Personal memory across agents

The best agent harness.

Multi-Agent Harness for Production AI

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents

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.

Build distributed, production-grade, long-running agents.

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 personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

Agenta is a workspace where you and your team build agents and automations.

Command Code AI — the best coding agent for open models.

AI Infra / AI Orchestration / AI Control Plane

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.

AI automation skills specifically designed for Unity

The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)

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

[ICLR 2026] LLM/VLM gaming agents and model evaluation through games.

CUGA is an open-source generalist agent harness for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features.