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PicoClaw

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A personal AI assistant that runs happily on a ten-dollar board: it lives in Telegram and other messengers, remembers your tasks and reminds you of them, and thinks with a cloud model on your own key. Open source, MIT.

We have not run it ourselves: described from the docs and the repository.

In numbers

of memory for the core, recent builds up to 20 MB
the LicheeRV-Nano board from the demo
messengers, including Telegram and VK
licence

What it is

To have an assistant answering in Telegram around the clock, people usually keep a computer switched on or rent a server. PicoClaw, from board maker Sipeed, takes a humbler route: a small Go program that uses a few megabytes of memory and runs on an old Android phone, a Raspberry Pi or a tiny board. The model itself does not run on the board. The assistant passes your question to the provider you chose, while the conversations, memory, reminders and connected tools stay on the board.

What sets it apart from Cline and the other agents in our catalogue is where it works. Those live in your code editor and help while you sit at it. PicoClaw lives in a messenger and works when you are away: on a schedule, on a chat message, through connected MCP servers. It is often described as a rewrite of OpenClaw, but it is not a fork: the project was inspired by NanoBot, the code was written from scratch, and according to the authors almost all of the core was written by an agent under human supervision.

How it works

picoclaw-launcher
A web panel at localhost:18800: add a provider key, connect a channel such as Telegram, start the Gateway and chat.
picoclaw onboard
The panel-free option for weak boards and Termux: config in ~/.picoclaw/config.json, keys kept separately in .security.yml.
model_list
30+ model providers, from OpenAI and Anthropic to local Ollama and vLLM; simple requests can be routed to a cheaper model.
picoclaw mcp add
Connects MCP servers, while skills from SKILL.md are installed with picoclaw skills install.
picoclaw cron
One-off and recurring reminders and scheduled tasks.

Know before installing

The authors say it themselves: the project is in early development, may have unresolved security issues, and should not go into production before v1.0.
The startup-speed and memory figures come from the authors' own table, and "under 10 MB" refers to the core: by their own account, recent builds take 10–20 MB.
The model runs in the cloud, so without a provider key and an internet connection the assistant will not answer. The only official site is picoclaw.io, and the project has no tokens.

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