nanoclaw

by nanocoaiVerified

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

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TypeScript
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/nanocoai/nanoclaw

Getting Started

Guides for using skills like nanoclaw.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Agents in Slack: one app per agent

Setup provisions each agent its own Slack app: manifest, avatar, and workspace install, no tokens to paste. Spawn teammates from chat: every one gets its own bot identity, container, and memory, with shared rooms and canvases.

Quick Start

Why I Built NanoClaw

OpenClaw is an impressive project, but I wouldn't have been able to sleep if I had given complex software I didn't understand full access to my life. OpenClaw has nearly half a million lines of code, 53 config files, and 70+ dependencies. Its security is at the application level (allowlists, pairing codes) rather than true OS-level isolation. Everything runs in one Node process with shared memory.

NanoClaw provides that same core functionality, but in a codebase small enough to understand: one process and a handful of files. Agents run in their own Linux containers with filesystem isolation, not merely behind permission checks.

Quick Start

git clone https://github.com/nanocoai/nanoclaw.git nanoclaw-v2
cd nanoclaw-v2
bash nanoclaw.sh

nanoclaw.sh walks you from a fresh machine to a named agent you can message. It installs Node, pnpm, and Docker if missing, registers your Anthropic credential with OneCLI, builds the agent container, and pairs your first channel (Slack, Telegram, Discord, WhatsApp, iMessage, or a local CLI). If a step fails, Claude Code is invoked automatically to diagnose and resume from where it broke.

Run from a fresh v2 checkout next to your v1 install:

git clone https://github.com/nanocoai/nanoclaw.git nanoclaw-v2
cd nanoclaw-v2
bash migrate-v2.sh

migrate-v2.sh finds your v1 install (sibling directory, or NANOCLAW_V1_PATH=/path/to/nanoclaw), migrates state into the v2 checkout, then execs into Claude Code to finish the parts that need judgment (owner seeding, shared-memory migration, fork-customisation replay).

Run the script directly, not from inside a Claude session — the deterministic side needs interactive prompts and real shell I/O for Node/pnpm bootstrap, Docker, OneCLI, and the container build.

What it does: merges .env, seeds the v2 DB from registered_groups, copies group folders + session data + scheduled tasks, installs the channel adapters you select, copies channel auth state (including the Baileys keystore for WhatsApp — LID mapping is now resolved per-message by the Baileys v7 adapter, not migrated), builds the agent container.

What it doesn't: flip the system service. Pick "switch to v2" at the prompt, or do it manually after testing — your v1 install is left untouched.

See docs/v1-to-v2-changes.md for what's different and docs/migration-dev.md for development notes.

Philosophy

Small enough to understand. One process, a few source files and no microservices. If you want to understand the full NanoClaw codebase, just ask Claude Code to walk you through it.

Secure by isolation. Agents run in Linux containers and they can only see what's explicitly mounted. Bash access is safe because commands run inside the container, not on your host.

Built for the individual user. NanoClaw isn't a monolithic framework; it's software that fits each user's exact needs. Instead of becoming bloatware, NanoClaw is designed to be bespoke. You make your own fork and have Claude Code modify it to match your needs.

Customization = code changes. No configuration sprawl. Want different behavior? Modify the code. The codebase is small enough that it's safe to make changes.

AI-native, hybrid by design. The install and onboarding flow is an optimized scripted path, fast and deterministic. When a step needs judgment, whether a failed install, a guided decision, or a customization, control hands off to Claude Code seamlessly. Beyond setup there's no monitoring dashboard or debugging UI either: describe the problem in chat and Claude Code handles it.

Skills over features. Trunk ships the registry and infrastructure, not specific channel adapters or alternative agent providers. Channels (Discord, Slack, Telegram, WhatsApp, …) live on a long-lived channels branch; alternative providers (OpenCode, Ollama) live on providers. You run /add-telegram, /add-opencode, etc. and the skill copies exactly the module(s) you need into your fork. No feature you didn't ask for.

Best harness, best model. NanoClaw natively uses Claude Code via Anthropic's official Claude Agent SDK, so you get the latest Claude models and Claude Code's full toolset, including the ability to modify and expand your own NanoClaw fork. Other providers are drop-in options: /add-codex for OpenAI's Codex (ChatGPT subscription or API key), /add-opencode for OpenRouter, Google, DeepSeek and more via OpenCode, and /add-ollama-provider for local open-weight models. Provider is configurable per agent group.

What It Supports

  • Multi-channel messaging — WhatsApp, Telegram, Discord, Slack, Microsoft Teams, iMessage, Matrix, Google Chat, Webex, Linear, GitHub, WeChat, and email via Resend. Installed on demand with /add-<channel> skills. Run one or many at the same time.

  • Flexible isolation — connect each channel to its own agent for full privacy, share one agent across many channels for unified memory with separate conversations, or fold multiple channels into a single shared session so one conversation spans many surfaces. Pick per channel via /manage-channels. See docs/isolation-model.md.

  • Per-agent workspace — each agent group has its own CLAUDE.md, its own memory, its own container, and only the mounts you allow. Nothing crosses the boundary unless you wire it to.

  • Scheduled tasks: recurring jobs executed by the agent, with optional script gates that avoid waking it when there is no work

  • Web access — search and fetch content from the web

  • Container isolation — agents are sandboxed in Docker containers (macOS/Linux/WSL2)

  • Credential security — agents never hold raw API keys. Outbound requests route through OneCLI's Agent Vault, which injects credentials at request time and enforces per-agent policies and rate limits.

  • Agent templates: stamp a ready-to-run agent (instructions + MCP tools + skills, no secrets) from a reusable bundle via ncl groups create --template <ref>. Templates load from the local templates/ folder; populate it by hand or by copying from the public library. See docs/templates.md.

Accounts and what leaves your machine

NanoClaw has no user accounts. The only thing it reports is anonymous setup diagnostics, and NANOCLAW_NO_DIAGNOSTICS=1 turns those off. Your agents, messages, files and keys never leave your machine.

One opt-in exception: you can fetch a prebuilt agent image instead of building it locally. Fetching ours needs a free account, so we see your email address and when you ask for an image — nothing about your agents, and nothing after the image lands. Building locally needs no account and contacts nothing, and is the default.

Usage

Talk to your assistant with the trigger word (default: @Andy):

@Andy send an overview of the sales pipeline every weekday morning at 9am (has access to my Obsidian vault folder)
@Andy review the git history for the past week each Friday and update the README if there's drift
@Andy every Monday at 8am, compile news on AI developments from Hacker News and TechCrunch and message me a briefing

From a channel you own or administer, you can manage groups and tasks:

@Andy list all scheduled tasks across groups
@Andy pause the Monday briefing task
@Andy join the Family Chat group

Customizing

NanoClaw doesn't use configuration files. To make changes, just tell Claude Code what you want:

  • "Change the trigger word to @Bob"

  • "Remember in the future to make responses shorter and more direct"

  • "Add a custom greeting when I say good morning"

  • "Store conversation summaries weekly"

Or run /customize for guided changes.

The codebase is small enough that Claude can safely modify it.

Contributing

Don't add features. Add skills.

If you want to add a new channel or agent provider, don't add it to trunk. New channel adapters land on the channels branch; new agent providers land on providers. Users install them in their own fork with /add-<name> skills, which copy the relevant module(s) into the standard paths, wire the registration, and pin dependencies.

This keeps trunk as pure registry and infra, and every

Frequently Asked Questions

What is nanoclaw?

nanoclaw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by nanocoai. 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. It has 30,604 GitHub stars.

Is nanoclaw safe to use?

Yes. nanoclaw passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install nanoclaw?

Clone the repository with "git clone https://github.com/nanocoai/nanoclaw" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is nanoclaw written in?

nanoclaw is primarily written in TypeScript. It is open-source under nanocoai on GitHub, so you can review or fork the full source.

Are there alternatives to nanoclaw?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh nanoclaw against similar tools.

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