What Is PicoClaw?
PicoClaw is a personal AI assistant program written in Go by Sipeed, built to start fast and use little memory on cheap hardware. The README calls it an independent open-source project written from scratch and inspired by NanoBot. Sipeed also makes the RISC-V boards that the project advertises.
The program connects a language model to chat channels and tools. Per the site, it supports more than 16 chat channels, web search, scheduled tasks, long-term memory, MCP and REST API integration, and a gateway mode. The README adds that about 95 per cent of the core code was generated by an AI agent and refined through human review; this is the maker's statement and was not checked.
Get It
PicoClaw is a free download for Linux, macOS, Windows and Android, with Docker and package files as alternatives.
Option | How to get it |
|---|---|
| Windows, macOS, Linux | Download from picoclaw.io/download, then open the picoclaw-launcher program to use the browser-based WebUI on your own computer |
| Android | APK from picoclaw.io/download, no Termux needed per the README; a Termux setup is the alternative |
| Docker | Docker Compose files in the GitHub repository |
| Packages and binaries | GitHub Releases: archives for Linux, macOS, Windows and FreeBSD, plus .deb and .rpm packages |
| Website | picoclaw.io |
| Documentation | docs.picoclaw.io |
| Privacy policy | None found on picoclaw.io or in the repository |
| Source code | github.com/sipeed/picoclaw, MIT licence |
Version reviewed: 0.3.1, released on 3 July 2026 per GitHub Releases. The macOS build is not notarized by Apple, so macOS asks you to allow it under Privacy & Security on first launch. The download page lists platforms only through JavaScript, so exact installer file names were not seen; the file types above come from GitHub Releases.
Requirements
The site gives 64 MB of RAM as the minimum and 512 MB as the recommended amount, plus an internet connection.
Memory
- What the sources say:
- The README gives under 10 MB for the core program and notes that recent builds may use 10 to 20 MB
Processors
- What the sources say:
- x86_64, ARM64, ARMv7, ARMv6, RISC-V, MIPS and LoongArch are named
Operating system
- What the sources say:
- Linux, macOS, Windows, Android and FreeBSD; the minimum Android version is not stated
Language model
- What the sources say:
- A provider you configure: a cloud API with a key, or an Ollama or vLLM server without one
Building from source
- What the sources say:
- Go 1.25 or later, plus Node.js 22 and pnpm for the WebUI launcher
Which models run well on which board is not stated; that depends on the model server, not on PicoClaw.
How to Get Started
The steps follow the README and the site; PromptQuorum has not run them.
- 1Download PicoClaw
Why it matters: Get the build for your system from picoclaw.io, or the APK on Android; the sources mention no account. - 2Open the launcher or run onboarding
Why it matters: On a desktop, start picoclaw-launcher and use the WebUI in your browser; in a terminal, run picoclaw onboard to create the workspace. - 3Choose a model provider
Why it matters: Enter an API key for a cloud provider, or point PicoClaw at your Ollama server (for example http://localhost:11434/v1) or your vLLM server. - 4Connect a chat channel
Why it matters: Add Telegram, Discord or another channel in the configuration and message the agent; MCP servers and scheduled tasks are further options in the documentation.
Features Confirmed by the Sources
Every item below comes from the website, the README or the documentation; none has been tested here.
- Chat channels. More than 16 are listed by the site, including Telegram, Discord, Slack and QQ; the documentation also names DingTalk, Feishu, WeCom and LINE.
- Providers. Many cloud providers plus Ollama and vLLM, with rule-based model routing that sends simple queries to lighter models.
- Tools. Web search, cron-based scheduling, MCP servers managed from the command line and the WebUI, a REST API, and a vision pipeline for images and files.
- Memory. Long-term memory and a JSONL memory store, per the site and the release notes.
- Portability. One binary for x86_64, ARM, RISC-V, MIPS and LoongArch, plus an Android build.
Data Flow and Privacy
The site FAQ says conversation history and configuration stay on your device, while requests to the language model still go to the provider you configure.
With a cloud provider, your prompts therefore reach that provider under its own policy; with Ollama or vLLM on your own network they stay there. Messages sent through a chat channel such as Telegram also pass through that platform.
📌Note: These are the maker's statements, not audit results. The README warns of possible unresolved security issues, and PromptQuorum has not inspected network traffic or the code.
Who Should Use It
- Raspberry Pi and RISC-V owners who want a small agent on a board they already have.
- Ollama or vLLM users who want chat-app access to a model on their own network.
- Tinkerers with an old Android phone who want to try an always-on assistant without extra hardware.
What We Could Not Verify
- Production readiness. The README says PicoClaw is in early rapid development, may have unresolved security issues and should not be deployed to production before version 1.0.
- Memory claims. The headline figure of under 10 MB and the comparison with OpenClaw and NanoBot are the maker's own; none was measured here.
- Android details. The minimum Android version, APK signing and which features work on a phone are not stated.
- Data handling. No privacy policy or data-handling document was found, and network traffic was not inspected.
- Local-model quality. How well small boards and local models handle agent tasks is untested.
Competitors and Alternatives
nanobot
- Platforms:
- Windows, macOS, Linux
- Price / license:
- Free / MIT
- Key difference:
- Self-hosted agent framework with memory, MCP tools and chat channels
Articles about nanobot (4)
- Nanobot Review: A Self-Hosted AI Agent FrameworkUpdated October 30, 2026
- Local Coding Assistants, Agents & Workflow Tools Compared (2026): IDE Plugins, Agent Frameworks and Autonomous AgentsUpdated September 21, 2026
- Local Chat Apps & Assistants Compared (2026): Desktop, Mobile, Self-Hosted, Assistants and RoleplayUpdated September 20, 2026
- Agentic Inbox Review: A Self-Hosted Email Client With an AI AgentUpdated September 19, 2026
OpenClaw
- Platforms:
- Windows, macOS, Linux
- Price / license:
- Free / MIT
- Key difference:
- Orchestration framework for agent workflows
Articles about OpenClaw (6)
- OpenClaw Review: Renamed Twice, Now Run by a NonprofitUpdated September 20, 2026
- oMLX Review: Apple Silicon Inference Server With SSD CachingUpdated October 23, 2026
- ClawRouter Review: The Agent-Native LLM RouterUpdated September 19, 2026
- Mission Control Review: A Self-Hosted Control Plane for AI AgentsUpdated September 19, 2026
- Atomic Bot Review: A Packaged OpenClaw Agent App, Free Locally or Paid in the CloudUpdated September 12, 2026
- Open Felix Review: A Local-First Mac AI AgentUpdated September 4, 2026
Also mentioned in:
- Kai 9000 Review: Free Open-Source AI Assistant, Cloud or On-DeviceUpdated October 30, 2026
- Strata Review: A 125B-Parameter Open Model on a Gaming PCUpdated October 23, 2026
- Local Coding Assistants, Agents & Workflow Tools Compared (2026): IDE Plugins, Agent Frameworks and Autonomous AgentsUpdated September 21, 2026
+4 more not shown
Hermes Agent
- Platforms:
- macOS, Linux
- Price / license:
- Free / MIT
- Key difference:
- Command-line agent with persistent memory
Articles about Hermes Agent (4)
- Hermes Agent Review: Self-Hosted AI AgentUpdated September 3, 2026
- Local Coding Assistants, Agents & Workflow Tools Compared (2026): IDE Plugins, Agent Frameworks and Autonomous AgentsUpdated September 21, 2026
- DreamServer Review: One-Command Local AI Server StackUpdated September 19, 2026
- Atomic Bot Review: A Packaged OpenClaw Agent App, Free Locally or Paid in the CloudUpdated September 12, 2026
Also mentioned in:
- TecAdRiseBot Review: Free Windows Agent Desktop on Cursor Cloud ModelsUpdated October 28, 2026
- Tolaria Review: Open-Source Markdown Notes with Git and AI AgentsUpdated October 24, 2026
- oMLX Review: Apple Silicon Inference Server With SSD CachingUpdated October 23, 2026
- Strata Review: A 125B-Parameter Open Model on a Gaming PCUpdated October 23, 2026
Confirm each app's current price, license and platforms on its own listing before choosing.
Frequently Asked Questions
Is PicoClaw a fork of OpenClaw?
No. The README calls it an independent project written from scratch in Go, inspired by NanoBot, and says it is not a fork of OpenClaw, NanoBot or any other project.
Which local models does PicoClaw work with?
The README shows configuration examples for Ollama (such as llama3.1:8b) and vLLM through their OpenAI-compatible addresses, and the site says any OpenAI-compatible API works.
Is there an official PicoClaw cryptocurrency?
No. The README says PicoClaw has issued no tokens or cryptocurrency, that picoclaw.io is the only official website, and that many lookalike domains were registered by third parties.
Verdict
PicoClaw is an MIT-licensed way to put a small AI agent on cheap boards, old phones and desktops and connect it to your own Ollama or vLLM server or a cloud model. Against that, the maker itself calls it early-stage, data handling is described only in a short FAQ answer, and PromptQuorum has not tested speed, memory use or Android behaviour. It suits tinkerers who can try it on spare hardware; it should not carry anything that must be reliable or secure until the project says it is ready.
Sources
- PicoClaw website — product overview, FAQ, hardware figures and footer links, checked 1 November 2026.
- PicoClaw download page — download sources and the onboarding command, checked 1 November 2026.
- PicoClaw on GitHub — README, MIT licence, security notice and commit history, checked 1 November 2026.
- PicoClaw releases — version 0.3.1 of 3 July 2026 and its file list, checked 1 November 2026.
- PicoClaw documentation — chat channels and configuration guides, checked 1 November 2026.
