PicoClaw

PicoClaw is a Go-based personal AI assistant designed for small machines: Raspberry Pi, RISC-V boards, ARM devices, Android, Docker hosts, and inexpensive Linux boxes. Its public materials emphasize a single binary, less than 10MB of RAM, startup under one second, and support for more than a dozen chat channels. Compared with OpenClaw, PicoClaw is about shrinking the assistant gateway down until it can run on hardware most frameworks ignore.

Top features

• Single-binary deployment: PicoClaw is distributed as a compact Go program rather than a large multi-service stack.
• Low memory target: the site advertises under 10MB RAM and under one second startup.
• Hardware range: Raspberry Pi, RISC-V, ARM64, x86_64, Android, Docker, and cloud servers are listed as supported targets.
• Messaging channels: Telegram, Discord, Slack, DingTalk, Feishu, WeCom, LINE, QQ, and other channel integrations are part of the pitch.
• Multi-LLM support: OpenAI, Claude, DeepSeek, Doubao, Gemini, Mistral, Qwen, Ollama, and OpenAI-compatible APIs are listed.
• Local control: the project emphasizes self-hosting, private data, and user-controlled assistant configuration.

Use cases

• Put an AI assistant on cheap hardware for home, lab, education, maker, or field-device workflows.
• Run a chat-connected assistant where a full desktop or cloud agent would be wasteful.
• Use local or API-backed models for code help, content drafts, data analysis, research, and scheduled personal tasks.
• Deploy a lightweight gateway for messaging platforms, MCP-style integrations, or REST API assistant backends.
• Compare Go-based assistant infrastructure against ZeroClaw’s Rust approach and OpenClaw’s larger gateway model.