Octop is a self-hosted AI assistant platform that supports multi-user and multi-agent architectures.
The tool addresses the need for privacy-preserving AI assistance by running entirely on your own infrastructure rather than relying on cloud services. It uses a multi-agent architecture where agents can operate in parallel and collaborate within an intelligent environment. The system is designed to be accessible through multiple interfaces: a web dashboard, command-line interface, and integrations with messaging platforms including Feishu, DingTalk, QQ, Discord, WeCom, and programmatic access via HTTP, SSE, and WebSocket. Extensibility is built in through an expert library, Connectors that support OAuth and MCP protocols, and ACP integration for IDE workflows.
Teams, families, and individuals seeking a self-hosted alternative to cloud-based AI assistants should consider this tool, particularly those prioritizing data privacy and control. The single-process startup design makes deployment straightforward, and the multi-interface support means users can interact through their preferred communication channels. The project is written in Python and distributed via PyPI, making installation accessible to developers comfortable with Python tooling.
Development activity shows consistent engagement with code quality standards enforced through Ruff for linting and formatting. The project maintains an active community presence with a Discord channel for user support and discussion. The codebase demonstrates attention to modern Python practices and appears to be actively maintained with regular updates to the platform.
