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clawlet

A lightweight AI based personal assistant.

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0.8.0
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clawlet

The pre-alpha version of a light weight personal AI assistant. It is a coding exercise for understanding the famous openclaw project.

It is not fully working and absolutely far from being useful :).

Installation

The clawlet is just a simple nodejs application, which uses a local llm and talks via telegram.

So you will need 3 things:

  • Install a local llm (macosx)

There is a script called launch-mlx.sh which you can use to run the local llm on port 127.0.0.1:8000. For this it uses homebrew to install python3.11 if not available, creates a .venv for python and installs mlx-lm into it and then installs mlx-openai-server.

$ ./launch-mlx.sh
  • Optional telegram bot support

If you want to talk to it via telegram - create a bot (see telegram documentation on bot creation) and store the id of the user and the token in .env as follows:

TELEGRAM_USERINFO_ID=
TELEGRAM_BOT_TOKEN=
  • Install and run clawlet cli

If you want to use the published release use:

$ npx clawlet

Development Version

If you cloned this repository run:

$ pnpm install
$ pnpm start 

Roadmap

  • features
    • handle session history
    • read/write files and trash in workspace folder
    • git history for workspace folder
    • SYSTEM_INSTRUCTIONS
    • <SOUL.md> support
    • users details at USER.md
    • assistants details at IDENTITY.md
    • daily memory in memory/[YYYY-MM-DD]/[HHmm]-[slug].md
    • heartbeat crons via HEARTBEAT.md
    • <SKILL.md> support (install + use and sandbox)
    • permission handling for skills
    • connection for api keys and credentials
    • add mcp configuration
    • long term memory in database with keyword search (store by type: somebody, something, preference, commitment,decisions,lessons as linked markdown files)
    • knowledge with vector search
    • knowledge with graph search
    • knowledge with conflict search
    • handle invalid <tool_call> with llm repair
  • local llm
    • support mlx locally on macosx M3++
  • messaging
    • chat via command line interface
    • chat via telegram bot
  • installation
    • make available with (p)npx
  • qa
    • add evals via vitetest
  • operating system support
    • runs on macosx
    • run on windows / linux
    • an *.app for mac
    • an .exe for windows

Similiar projects

License

clawlet is copyright 2026 by DracoBlue and licensed under the MIT License.

Keywords

ai

FAQs

Package last updated on 16 Feb 2026

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