Skip to content

Reasonix vs nanobot

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.

Reasonix

Open source · MIT

An open-source AI coding assistant that reads, edits and tests code in your project folder.

nanobot

Open source · MIT

Self-hosted personal AI agent in Python that works through a browser, terminal, or chat apps.

The short answer

Choose Reasonix if you need…

  • Developers who want an AI assistant to make multi-step changes in a local project
  • People who want to choose or switch their own model provider
  • Users who want to approve each action or review a plan before work starts
  • Those who prefer a desktop app, terminal, browser, or VS Code extension interface

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

Side-by-side

Reasonixnanobot
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars36k49.8k
Setup difficultyBeginnerIntermediate
How you get itDownload the appInstall with a package manager
Main languageGoPython
Last code update4 days ago4 days ago

What each one is

Reasonix

Reasonix is an open-source AI coding assistant that runs on your own computer. You describe a task in plain language, and it reads code, edits files and runs commands and tests inside the project folder you choose, showing you each step. You choose the AI model: a DeepSeek preset is built in, and any OpenAI-compatible service can be added, with payment going directly to the model provider.

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.

Best for

Reasonix

  • Developers who want an AI assistant to make multi-step changes in a local project
  • People who want to choose or switch their own model provider
  • Users who want to approve each action or review a plan before work starts
  • Those who prefer a desktop app, terminal, browser, or VS Code extension interface

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

Strengths

Reasonix

  • Runs on your computer and works inside the project folder you pick
  • Lets you choose the permission level, from asking every time to limited autonomy
  • Offers several interfaces: desktop app, terminal, browser, and editor via ACP

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

Not ideal for

Reasonix

  • People who want a hosted service with no setup or API key, since you must supply a model provider and key
  • Anyone who expects rewind to undo shell command side effects, because the README says only files changed by its edit tools are covered
  • Those who need a fully offline setup, since the model is a service you configure and it receives what it reads

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

Trade-offs

Reasonix

  • You must supply and pay for your own model provider and key
  • Rewind does not cover changes made by shell commands
  • The README is truncated and does not fully document setup details for every platform

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

Getting started

Reasonix

Clone the repository

git clone https://github.com/esengine/DeepSeek-Reasonix
Step-by-step guide: how to use Reasonix

nanobot

Install stable release with uv

uv tool install nanobot-ai

Install stable release with pip (inside an activated virtual environment)

python -m pip install nanobot-ai
Step-by-step guide: how to use nanobot

Frequently asked questions

What is the difference between Reasonix and nanobot?

Reasonix: An open-source AI coding assistant that reads, edits and tests code in your project folder. nanobot: Self-hosted personal AI agent in Python that works through a browser, terminal, or chat apps. Reasonix suits developers who want an ai assistant to make multi-step changes in a local project, while nanobot suits people who want a self-hosted personal assistant they can inspect and customize.

Are Reasonix and nanobot free?

Reasonix: Free and open source. nanobot: Free and open source.

Which is easier to set up, Reasonix or nanobot?

Reasonix is easier to get started with (rated beginner); nanobot is rated intermediate and usually needs more setup.

Is Reasonix or nanobot more popular?

nanobot has more GitHub stars (49.8k) than Reasonix (36k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to Reasonix and nanobot?

Other options people compare them with include OpenHands, CowAgent, Ollama, magpie, DSH Desktop.

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.