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

Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)

A lightweight, powerful framework for multi-agent workflows

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

Personal memory across agents

The best agent harness.

Multi-Agent Harness for Production AI

Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

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.

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.

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 workspace for building and running AI agents. Build agents through chat, share them with your team, and run background agents on schedules or app events.

AI Infra / AI Orchestration / AI Control Plane

Command Code AI

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

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

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

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.

Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.

local multi-agent harness

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.

The production-ready agent harness framework for Python

Open Python agent harness for production AI apps: tools, MCP, memory, workspace, telemetry, subagents, background tasks, and OmniServe APIs.

Meta Harness Implementation

Kubernetes-native sandbox platform to run AI agents, coding assistants and harnesses.

Continual harness optimization

Claude Code-inspired harness blueprint skill for designing agent runtimes.