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

nanocoai/nanoclaw

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK observed · 2026-08-28

github.com/nanocoai/nanoclaw · homepage · TypeScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 99
  • Release rhythm 99
  • Longevity 15
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 10.5
  • age_days: 214
  • days_rel: 9
  • days_push: 7
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

30626 stars · 12839 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

NanoClaw is a lightweight, self-hosted personal AI assistant that runs each agent inside its own isolated Docker container for OS-level security. It connects to messaging apps like WhatsApp, Telegram, Slack, Discord, and iMessage, and supports memory, scheduled jobs, and multiple LLM providers on a small, auditable codebase.

Use cases

  • run a personal AI assistant I can text from WhatsApp or Telegram
  • self-host an AI agent with container sandboxing instead of app-level permission checks
  • give each team member their own Slack bot agent with isolated memory
  • schedule recurring AI tasks like morning briefings or repo issue summaries
  • run a lightweight alternative to OpenClaw I can fully understand and customize
  • connect one AI agent to multiple chat channels with shared or separate memory

When to choose

  • you want a personal AI agent reachable from messaging apps you already use
  • security through OS-level container isolation matters to you
  • you value a small, auditable codebase over a feature-heavy monolith
  • you want per-agent workspaces, memory, and scheduled jobs out of the box
  • you prefer self-hosting with Claude, Codex, OpenCode, or Ollama as the model

When to avoid

  • you need a managed cloud service with no self-hosting
  • you require a web dashboard or GUI for administration
  • you need a massive ecosystem of prebuilt integrations rather than adding skills yourself
  • you cannot run Docker or WSL2 on your machine

Facets

application · maturity active

agent-framework chatbot scheduling security self-hosted chat-interface llm-inference chatbots large-language-models self-hosted messaging-platforms developer-tools windows self-hosted personal-ai-assistant container-isolation openclaw-alternative anthropic-agents-sdk multi-channel-messaging claude-code sandboxed-agents whatsapp telegram slack discord ai-agents automation docker linux macos typescript nodejs

3 sources

Member repositories

RepositoryRoleHealth v2
nanocoai/nanoclawmain82

For agents

markdown · JSON · MCP: product_card(name="nanocoai/nanoclaw")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem