sipeed/picoclaw
Some data may be outdated — see provenance labels.
Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity observed · 2026-09-29
Health v2 · maintenance only
76/100
- Activity 96
- Release rhythm 84
- Longevity 18
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 7.5
- age_days: 258
- days_rel: 109
- days_push: 26
- n_releases_24m: 15
Adoption not part of the score
30013 stars · 4458 forks observed · 2026-09-29
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.97
PicoClaw is an ultra‑lightweight AI assistant written in Go that runs on $10 hardware with less than 10 MB RAM. It provides a self‑contained binary, a web UI, and multi‑channel messaging integration.
Use cases
- run a personal AI assistant on low‑cost single‑board computers
- integrate LLM chat capabilities into Telegram, Discord, Slack, or other messengers
- deploy a self‑hosted chatbot for home automation or personal productivity
- experiment with multi‑agent collaboration and tool usage in a sandboxed environment
- quickly prototype AI‑driven workflows without cloud dependencies
When to choose
- you need an AI assistant that can run on minimal hardware and memory
- you prefer a single binary with no external runtime dependencies
- you want built‑in support for many messaging platforms out of the box
- you require a sandboxed execution environment for safety
- you are comfortable configuring the system via a web UI or CLI
When to avoid
- you need enterprise‑grade scalability or high‑throughput serving
- you rely on GPU acceleration for large model inference
- you require deep integration with proprietary cloud services not listed
- you need a fully managed SaaS solution with zero maintenance
- you prefer a GUI‑only desktop application without command‑line control
Facets
application · maturity active
llm-inference chatbot agent-framework http-server cli artificial-intelligence large-language-models chatbots windows cli ultra-lightweight 10mb-ram multi-channel self-hosted go linux android docker
9 sources
- readme: https://github.com/sipeed/picoclaw · fetched 2026-09-29 · bb723b526dea
- site_page: https://docs.picoclaw.io · fetched 2026-08-29 · f4663de2599d
- site_page: https://docs.picoclaw.io/docs/getting-started · fetched 2026-08-29 · 957f8474f516
- site_page: https://docs.picoclaw.io/docs/providers · fetched 2026-08-29 · 2b6ef0683945
- site_page: https://docs.picoclaw.io/docs/channels · fetched 2026-08-29 · 119df7881205
- site_page: https://docs.picoclaw.io/docs/installation/android · fetched 2026-08-29 · bbe4c3f8d5f6
- site_page: https://docs.picoclaw.io/docs/docker · fetched 2026-08-29 · c47d83484938
- site_page: https://docs.picoclaw.io/docs/configuration/security-sandbox · fetched 2026-08-29 · e08e8def69b0
- site_page: https://picoclaw.io/changelog · fetched 2026-08-29 · f1b076e7aad6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sipeed/picoclaw | main | 76 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem