Tools/HKUDS/OpenHarness

OpenHarness

"OpenHarness: Open Agent Harness"

15.4k+95/wkgrowthPythonMIT Licensetrending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Aug 2026

OpenHarness is agent infrastructure you pip install: the tool-calling loop, 43 built-in tools for files, shell, search, web, and MCP, plus skills, memory, permission modes, and multi-agent coordination. It also ships ohmo, a personal agent built on top of it that lives in Slack, Discord, Telegram, or Feishu and will fork a branch, write code, run tests, and open a PR on its own. MIT, Python 3.10 or newer, free.

The ohmo part is the interesting trick. It runs on a Claude Code or Codex subscription you already pay for rather than a separate API key, so a chat-driven coding agent costs nothing extra. Setup is pip install openharness-ai, then oh setup to pick a provider and ohmo gateway start to put it in your chat app. It reads CLAUDE.md, loads Anthropic-style skills and plugins, and compacts its own context.

Here is the problem. The last commit landed June 4, 2026, the last PyPI release was 0.1.9 on May 7, and there are dozens of open issues with nobody working them. This is a university research group's project that got popular fast, and popularity is not maintenance. For anything you depend on, langchain-ai/langgraph and crewAIInc/crewAI have real release cadences; for the coding agent job specifically, openclaw/openclaw is still shipping.

The catch is that a stalled repo and a permission system make a bad pair. ohmo runs shell commands and opens PRs on your behalf, which is exactly the code you want getting security fixes. Fine for a prototype on a throwaway repo. Not something to point at code you care about until commits resume.

Free vs Self-Hosted vs Paid

fully free

Free

Everything. The full harness, all 43 built-in tools, skills, plugins, hooks, persistent memory, permission modes, multi-agent coordination, the TUI, and the ohmo personal agent. MIT licensed, no gated features, no account required.

Paid

None. There is no hosted version, no cloud tier, and no commercial offering from the maintainers.

Self-Hosted Costs

pip install openharness-ai on Python 3.10 or newer. Running ohmo adds a gateway process you keep alive plus a bot token for whichever chat platform you connect.

Your real cost is model access, and this is where ohmo is clever: it is built to ride an existing Claude Code or Codex subscription, so if you already pay for one, the incremental cost is $0. Point it at raw API keys instead (Anthropic, OpenAI, Copilot, Moonshot/Kimi, GLM, MiniMax, NVIDIA NIM, or any compatible endpoint) and you pay per token like any other agent framework.

When to Pay

There is nothing here to buy. Spend money on the model subscription the agent runs on, and spend your caution on the maintenance gap: no commits since June 4, 2026 and no PyPI release since 0.1.9 on May 7, 2026.

Free and MIT with no commercial tier. Your only cost is the model subscription ohmo rides on, and the risk is a repo that stopped shipping in June 2026.

What to do by team size

Solo
free; the best fit, especially if ohmo can ride a Claude Code or Codex subscription you already pay for
Small team
free; fine for prototypes, but pin a version and expect to fix your own bugs
Medium team
free; hard to justify on a repo with no commits since June 2026, use langchain-ai/langgraph instead
Large team
free; an agent with shell access and no active maintainer will not clear a security review
Self-hosting ops:moderate

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Score
78/100 · B+
Adoption27/30
Maintenance15/25
Community11/20
License15/15
Analysis10/10

A low score is not a verdict on quality. Young and niche tools start low by design. How we calculate scores

Trust Signals

High adoption: 10,004 starsActive community: 1,704 forksPermissive license (MIT)

License: MIT License

Use freely, including commercial. Just keep the license.

Commercial use: ✓ Yes

About

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✨Data Intelligence Lab@HKU✨ (Organization)
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