nanobot vs OpenHarness
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Self-hosted personal AI agent in Python that works through a browser, terminal, or chat apps.
Open source · MIT
A Python toolkit for building AI agents, plus ohmo, a personal agent you can chat with in messaging apps.
The short answer
Choose nanobot if you need…
- People who want a self-hosted personal assistant they can inspect and customize
- Developers who want a small Python agent framework with memory, tools, and MCP support
- Users who want an assistant reachable from chat apps like Telegram, Discord, or Slack
- People who want to summarize PDF, Word, Excel, or PowerPoint files with an AI assistant
Choose OpenHarness if you need…
- Developers who want to see how an agent harness is structured in readable Python
- Researchers experimenting with agent tools, skills, and coordination patterns
- Builders who want to extend an agent with custom plugins or providers
- People who want a personal agent reachable from chat apps, if they already have a supported subscription
Side-by-side
| nanobot | OpenHarness | |
|---|---|---|
| Type | App | Dev tool |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 49.8k | 16.2k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Install with a package manager |
| Main language | Python | Python |
| Last code update | 4 days ago | 5 months ago |
What each one is
nanobot
nanobot is an open-source personal AI assistant you run yourself. You can use it in a browser, a terminal, or chat apps like Telegram or Discord to work with files, remember preferences, and schedule tasks. It does not include a model; you connect it to a supported model provider or a local model server.
OpenHarness
OpenHarness is an open-source Python project that provides the supporting infrastructure around a language model so it can act as an agent: calling tools, using skills, keeping memory, and coordinating sub-agents. Its command-line entry point is called oh. ohmo is a personal agent built on OpenHarness that the README says can be reached through Feishu, Slack, Telegram, or Discord, and that it can run on an existing Claude Code or Codex subscription.
Best for
nanobot
- People who want a self-hosted personal assistant they can inspect and customize
- Developers who want a small Python agent framework with memory, tools, and MCP support
- Users who want an assistant reachable from chat apps like Telegram, Discord, or Slack
- People who want to summarize PDF, Word, Excel, or PowerPoint files with an AI assistant
OpenHarness
- Developers who want to see how an agent harness is structured in readable Python
- Researchers experimenting with agent tools, skills, and coordination patterns
- Builders who want to extend an agent with custom plugins or providers
- People who want a personal agent reachable from chat apps, if they already have a supported subscription
Strengths
nanobot
- Self-hosted, and the README says you can inspect and extend the code
- Works across a browser UI, terminal, and many chat channels
- Supports OpenAI-compatible APIs and local models, so you can choose your provider
OpenHarness
- Compact, readable Python codebase focused on the agent loop, tools, and memory, according to the README
- Includes permission modes, path and command rules, and hooks for controlling what the agent can do
- MIT license with an active repository; the last push is dated 2026-06-04
Not ideal for
nanobot
- People who want a ready-made hosted service with no setup, since you must supply a model account or local model server
- Non-technical users who are uncomfortable with terminals or configuration, unless they follow the separate non-technical guide
- Teams needing a documented enterprise security model, since the README does not describe one in detail
OpenHarness
- Non-technical users looking for a polished consumer app, since setup and configuration are developer-oriented
- People who need a stable production system, since the latest release is v0.1.9 and the README's What's New section lists many recent changes
- Anyone uncomfortable giving an agent shell, file, and web access, since the README describes these as core capabilities that need permission controls to manage
Trade-offs
nanobot
- Requires a model provider account or local model hardware, and costs depend on that choice
- The README is truncated and describes current source, which may differ from the stable release
- Setup involves Python and terminal steps for most users
OpenHarness
- The README is partly promotional and some claims, such as a 'personal agent that works for you', are not independently verified here
- ohmo depends on an existing Claude Code or Codex subscription, which the README says removes the need for a separate API key but still requires that account
- Many features are new and the README lists a Roadmap item (ClawTeam integration), so some capabilities may still be changing
Getting started
nanobot
Install stable release with uv
uv tool install nanobot-aiInstall stable release with pip (inside an activated virtual environment)
python -m pip install nanobot-aiOpenHarness
Clone the repository
git clone https://github.com/HKUDS/OpenHarnessFrequently asked questions
What is the difference between nanobot and OpenHarness?
nanobot: Self-hosted personal AI agent in Python that works through a browser, terminal, or chat apps. OpenHarness: A Python toolkit for building AI agents, plus ohmo, a personal agent you can chat with in messaging apps. nanobot suits people who want a self-hosted personal assistant they can inspect and customize, while OpenHarness suits developers who want to see how an agent harness is structured in readable python.
Are nanobot and OpenHarness free?
nanobot: Free and open source. OpenHarness: Free and open source.
Is nanobot or OpenHarness more popular?
nanobot has more GitHub stars (49.8k) than OpenHarness (16.2k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to nanobot and OpenHarness?
Other options people compare them with include LangChain, CowAgent, Paperclip, Reasonix, Horizon.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.