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
Offers a lightweight, container-based security tool with connectivity to WhatsApp, Telegram, and other messaging platforms. Teams get messaging integrations with a reduced attack surface through containerized execution.
Security-conscious teams who need messaging platform integrations with a lightweight, container-isolated solution.
https://github.com/qwibitai/nanoclaw
By qwibitai
How to Get It
claude plugins install qwibitai/nanoclaw
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- Show HN: NanoClaw – “Clawdbot” in 500 lines of TS with Apple container isolation — Hacker News · 533 pts
- NanoClaw moved from Apple Containers to Docker — Hacker News · 169 pts
- Running NanoClaw in a Docker Shell Sandbox — Hacker News · 163 pts
35 mentions across 2 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 27,376 GitHub stars; contributors unknown; last commit 34d ago; license MIT.
2026-05-10: 27K stars with only 3 production mentions is a flag worth noting—this looks like a community darling that hasn't been stress-tested in real production workloads yet. The pitch is a containerized agent that bridges Anthropic's SDK to messaging platforms (WhatsApp, Telegram, Slack, etc.) with memory and scheduled jobs, which is a genuinely useful pattern for security alerting or incident notification pipelines. Tradeoff: you're trading OpenClaw's feature depth and battle-hardening for a smaller footprint, and container ops overhead is real if your team isn't already running that stack. Evaluate carefully before putting it on any path that touches sensitive comms data.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 27,376 GitHub stars; contributors unknown; last commit 34d ago; license MIT.