Octop social preview
agent-framework11,373MIT

Octop

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Updated Oct 31, 2026
Website GitHub Docs
Platforms
docker, web
Pricing
free-open-source
Status
active
License
MIT

What it does

Core capabilities at a glance

  • Agent
  • Agentic AI
  • AI Agent
  • AI Agents
  • Local First
  • Long Term Memory

Deep dive

The full breakdown - performance, comparisons, and setup

Octop

Octop is an agent framework - A smarter, self-hosted AI assistant — multi-user, multi-agent.

Overview

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Octop is an open-source, self-hosted AI assistant. It's not just a tool — it's a digital life form that can operate in parallel. Through its multi-agent architecture, it builds an intelligent environment that is both independent and collaborative for teams, families, and individuals. Best of all, it runs entirely on your machine — the fully self-hosted design means privacy is never a compromise, while single-process startup makes the powerful web console, CLI, and IM integrations readily accessible.

Chat through the Web Dashboard, Feishu, DingTalk, QQ, WeChat, Telegram, Discord, WeCom, or programmatic HTTP/SSE/WebSocket. Extend capabilities with the expert library, Connectors (OAuth + MCP), and ACP integration for IDE workflows.

Octop is a self-hosted AI assistant platform for households and small teams. It runs a single process that serves a web dashboard, a CLI, IM channels (Feishu, DingTalk, QQ, WeChat, Telegram, Discord, WeCom, and more), and cron automation — all sharing one control-plane database under '~/.octop/' (SQLite by default; PostgreSQL optional).

Octop is open-source, written primarily in Python, with 11,373 GitHub stars under the MIT license. The latest release is v1.0.3b1 (2026-10-25).

Key capabilities

From the project's documentation:

  • Web automation — use Browser AI+ and remote desktop for forms, screenshots, and GUI apps.
  • Scheduled tasks — configure cron in natural language so the agent pushes or runs jobs on time every day.
  • Multi-user JWT authentication with admin role
  • First-run setup wizard (octop init)
  • Interactive API docs at /api/docs (off by default — set "enable_api_docs": true in config.json to enable)
  • Multiple experts per user; each has its own workspace, providers, channels, and cron

Install

A quick way to get started (always check the official docs for the latest):

pip install octop

How it fits a local-AI stack

Octop runs on your own hardware, so pair it with a model and a GPU sized to your needs. Use the VRAM calculator to pick a model that fits your card, and see what you can run for hardware guidance. Related agent frameworks in the directory:

Sources

Stats from GitHub, 2026-10-30.

Frequently asked

Quick answers to common questions

What is Octop?

Octop is a agent-framework tool for local AI workloads. A smarter, self-hosted AI assistant — multi-user, multi-agent.

Is Octop free and open source?

Yes, Octop has 11,373 GitHub stars and is licensed under MIT. You can self-host it for free on docker, web.

What platforms does Octop support?

Octop runs on docker, web.

What hardware do I need for Octop?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Octop has 11,373 GitHub stars and an active community.

Does Octop support GPU acceleration?

Octop's GPU support depends on your specific setup. Check the documentation for details. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to Octop?

Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does Octop cost?

Octop is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware