← Use cases · Coding agents & IDE assistants
AI agent tools for agent harnesses
Short answer: Our top pick for agent harnesses: RAGFlow, with the highest AgentPick Score (95/100) among tools tagged "agent-harness". Runners-up: AnythingLLM (92) and deer-flow (91). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | RAGFlow | RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior … | 95/100 | ★ 92k | Apache-2.0 | 14 Oct 2026 |
| #2 | AnythingLLM | Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience | 92/100 | ★ 67k | MIT | 14 Oct 2026 |
| #3 | deer-flow | An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and … | 91/100 | ★ 84k | MIT | 14 Oct 2026 |
| #4 | CowAgent | Open-source personal AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-mode… | 89/100 | ★ 47k | MIT | 14 Oct 2026 |
| #5 | QwenPaw | Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabiliti… | 89/100 | ★ 36k | Apache-2.0 | 14 Oct 2026 |
| #6 | LobeHub | 🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team. | 88/100 | ★ 83k | See repo | 14 Oct 2026 |
| #7 | harness-sdk | Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud. | 83/100 | ★ 8.8k | Apache-2.0 | 14 Oct 2026 |
| #8 | agentscope-java | Build distributed, production-grade, long-running agents. | 81/100 | ★ 6k | Apache-2.0 | 14 Oct 2026 |
| #9 | hive | Multi-Agent Harness for Production AI | 80/100 | ★ 11k | Apache-2.0 | 14 Oct 2026 |
| #10 | openrig | Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work. | 80/100 | ★ 7.5k | Apache-2.0 | 14 Oct 2026 |
| #11 | loopx | A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attenti… | 80/100 | ★ 6.3k | Apache-2.0 | 14 Oct 2026 |
| #12 | trueforge | The open-source agent harness - the runtime layer that turns an LLM into a working agent. | 79/100 | ★ 6.2k | MIT | 14 Oct 2026 |
| #13 | nexent | Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, an… | 79/100 | ★ 5.9k | MIT | 14 Oct 2026 |
| #14 | munder-difflin | an open-source alternative to the dots, bots and muses of the world, run an office of claude code/codex like agents on your laptop, sandboxes or anywh… | 78/100 | ★ 8.8k | MIT | 14 Oct 2026 |
| #15 | openagent | ⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo… | 77/100 | ★ 5.7k | Apache-2.0 | 14 Oct 2026 |
| #16 | openlit | OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on O… | 77/100 | ★ 2.9k | Apache-2.0 | 14 Oct 2026 |
| #17 | harnessrouter | HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI,… | 75/100 | ★ 3k | Apache-2.0 | 14 Oct 2026 |
| #18 | agenta | Agenta is a workspace where you and your team build agents and automations. | 74/100 | ★ 4.8k | See repo | 14 Oct 2026 |
| #19 | knowhere | Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG. | 74/100 | ★ 3.7k | Apache-2.0 | 13 Oct 2026 |
| #20 | penguin-harness | 🐧 Unified and Stable RSI Platform | 74/100 | ★ 2.5k | Apache-2.0 | 14 Oct 2026 |
| #21 | yao | ✨ All your agents and workspaces in one place, on every device you own. Track tasks on a board, accessible from desktop, mobile, browser, or API. Self… | 73/100 | ★ 8.1k | See repo | 13 Oct 2026 |
| #22 | failproofai | Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement. | 71/100 | ★ 5.4k | See repo | 14 Oct 2026 |
| #23 | goclaw | GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale with… | 68/100 | ★ 3.7k | See repo | 4 Oct 2026 |
| #24 | modlens | The first vision plugin for DeepSeek Harness, and the vision bridge for every text-only coding agent. Paste an image, get structured JSON evidence (OC… | 67/100 | ★ 4.3k | MIT | 4 Oct 2026 |
| #25 | memU | Personal memory across agents | 63/100 | ★ 15k | See repo | 13 Oct 2026 |
| #26 | holaOS | Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser,… | 52/100 | ★ 11k | See repo | 21 Aug 2026 |
| #27 | FrontierAgent | 🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux… | 52/100 | ★ 5.3k | Apache-2.0 | 14 Oct 2026 |
| #28 | harness | A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. | 50/100 | ★ 9.2k | Apache-2.0 | 28 Sept 2026 |
| #29 | command-code | Command Code AI — the best coding agent for open models. | 45/100 | ★ 4.1k | See repo | 14 Oct 2026 |
| #30 | deepbot | DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and nativ… | 38/100 | ★ 2.4k | MIT | 23 May 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Check which models and providers it supports.
- Prefer tools that show diffs and ask before running commands.
- Look for recent commits: coding agents change fast.
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