Ross ROSS = Recommend OSS · open-source software intelligence for agents

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Some data may be outdated — see provenance labels.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

github.com/sipeed/picoclaw · homepage · Go · MIT (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
sipeed/picoclawmain76

For agents

markdown · JSON · MCP: product_card(name="sipeed/picoclaw")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem