LibreAI / KI-Agenten / goclaw
// agents · nextlevelbuilder/goclaw

goclaw

goclaw ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von nextlevelbuilder (nextlevelbuilder/goclaw auf GitHub). Es hat 3.643 Sterne auf GitHub und 1.069 Forks, wird unter der Lizenz CC BY-NC 4.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.

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

★ 3,6 Tsd. Sterne⑂ 1,1 Tsd. ForksCC BY-NC 4.0aktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
3.643
Forks
1.069
Lizenz
CC BY-NC 4.0
Zuletzt auf GitHub aktualisiert
4. Oktober 2026
Kategorie
KI-Agenten
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  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.

// funktionen

Warum es so beliebt ist

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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// selbst ausführen

Führe es selbst aus

  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
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

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.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Agenten

Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls goclaw nicht das Richtige ist.

// mehr in agents

Mehr in KI-Agenten

Verwandte Projekte der Kategorie KI-Agenten im Katalog, die goclaw bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir goclaw

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.