LibreAI / KI-Chat / Octop
// ai-chat · TencentCloud/Octop

Octop

Octop ist ein Open-Source-Projekt aus der Kategorie KI-Chat von TencentCloud (TencentCloud/Octop auf GitHub). Es hat 7.969 Sterne auf GitHub und 960 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.

Octop — Tencent Cloud's self-hosted AI assistant: multi-user, multi-agent, workspace memory included.

★ 8,0 Tsd. Sterne⑂ 960 ForksMITaktualisiert 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
7.969
Forks
960
Lizenz
MIT
Zuletzt auf GitHub aktualisiert
8. Oktober 2026
Kategorie
KI-Chat
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    Decide who the users and experts are (family members or team roles), which chat channels to bridge, and which model providers each expert may use.

  2. Get the project

    Clone TencentCloud/Octop from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Use the one-line installer for your OS, pip, or Docker Compose; then run the first-run setup wizard to create the admin account.

  4. Run your first task

    Create an expert, connect one channel, and give it a recurring task in natural language — for example a weekly report — to see memory and scheduling work.

// funktionen

Warum es so beliebt ist

Experts with workspaces

Multiple experts per user, each with its own workspace, providers, channels and cron; an expert library and sharing are built in.

AgentTeams (beta)

A coordinator plus member experts tackle multi-step tasks together, alongside parallel-agent patterns.

Multi-user from the start

JWT authentication with an admin role — one admin account can serve a whole household or team, with different experts per member.

IM channel bridge

A gateway normalises messages from Feishu, DingTalk, WeCom, WeChat and more into one processing pipeline.

Hierarchical memory

Octop Memory provides hierarchical recall with full-text search, and memory travels with the expert's workspace.

Coding and browser delegation

Delegate coding tasks to OpenCode or Claude Code via ACP, and use Browser AI with remote desktop for forms, screenshots and GUI apps.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source from the official GitHub repository for Octop.

    git clone https://github.com/TencentCloud/Octop.git
    cd Octop
  2. Install Octop

    Use the official installer script as the README shows (a pip path — pip install octop — is also documented).

    curl -fsSL https://finnie-1258344699.cos.ap-guangzhou.myqcloud.com/octop/install.sh | bash
  3. Start with Docker (alternative)

    Or run the documented Docker Compose deployment, then complete the first-run setup wizard (octop init).

    docker compose -f docker/docker-compose.yml up -d  # then run the setup wizard — see README
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains Octop?

TencentCloud, through the TencentCloud/Octop repository, with the site at octop.cloud.

Is Octop free to use?

Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.

Does Octop need a paid API key?

Octop itself is free and MIT licensed; experts use model providers you configure, so any model cost is through your own keys.

How does Octop compare to a single-user local assistant?

Single-user assistants serve one person on one machine. Octop is a multi-user, multi-agent server with workspaces, channel bridges and shared experts — more to deploy, but designed for a household or team, not one laptop.

How do I get started with Octop?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — create an expert, connect one channel, and give it a recurring task in natural language — for example a weekly report — to see memory and scheduling work.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Chat

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

// mehr in ai-chat

Mehr in KI-Chat

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

Hol dir Octop

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