LibreAI / AI Agents / goclaw
// agents · nextlevelbuilder/goclaw

goclaw

OpenClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary.

★ 3.6k stars⑂ 1.1k forksCC BY-NC 4.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

goclaw is an open-source ai agents project by nextlevelbuilder (nextlevelbuilder/goclaw on GitHub). It has 3,643 GitHub stars and 1,069 forks, is released under the CC BY-NC 4.0 license, and was last updated on GitHub on 4 October 2026.

GitHub stars
3,643
Forks
1,069
License
CC BY-NC 4.0
Last updated on GitHub
4 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// features

Why people love it

8-stage agent pipeline

Context → history → prompt → think → act → observe → memory → summarize, with pluggable stages.

3-tier memory and Knowledge Vault

Working, episodic and semantic memory, plus a document registry with wikilinks and hybrid FTS + pgvector search.

Agent teams

Shared task boards, inter-agent delegation (sync/async) and auto/explicit/manual orchestration modes.

20+ LLM providers

Anthropic, OpenAI, OpenRouter, Groq, DeepSeek, Gemini, Mistral, xAI and any OpenAI-compatible endpoint, plus Claude CLI/Codex/ACP.

Channels and security

Telegram, Discord, Slack, Zalo, Feishu/Lark and WhatsApp channels; 5-layer permissions, injection detection, SSRF protection and AES-256-GCM key encryption.

Self-evolution with guardrails

Metrics feed suggestions that auto-adapt agent behaviour within guardrails, with full LLM call tracing.

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// run it

Run it yourself

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/nextlevelbuilder/goclaw.git
    cd goclaw
  2. Install the lite binary

    Use the official install script, or pull the Docker stack as the README describes.

    curl -fsSL https://raw.githubusercontent.com/nextlevelbuilder/goclaw/main/scripts/install-lite.sh | bash
  3. Or run with Docker

    Generate the .env, add at least one provider key, and start the stack; the dashboard listens on port 18790.

    make up  # after adding a GOCLAW_*_API_KEY to .env — see README
    # Web Dashboard at http://localhost:18790
// use cases

What you can build

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// faq

Questions, answered

Who maintains goclaw?

It is maintained by nextlevelbuilder on GitHub (nextlevelbuilder/goclaw), where the source, issues and releases live.

Is it free to use?

The code is free for non-commercial use under CC BY-NC 4.0 (attribution required); commercial use is not covered by that licence.

Does it need a paid API key?

Yes — you add at least one LLM provider key (GOCLAW_*_API_KEY) for the providers you enable; the software itself is free for non-commercial use under CC BY-NC 4.0.

How does it compare to the original OpenClaw (Node.js) implementation?

Compared with the original OpenClaw (Node.js) implementation, goclaw's distinguishing focus is: openClaw rebuilt in Go — multi-tenant AI agent teams with 5-layer security in a single binary. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/nextlevelbuilder/goclaw (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if goclaw is not the right fit.

Get goclaw

Free and open — grab the source, star the repo, and start creating.