AstrBot vs openclaw
Self-hosted AI assistants for messaging, compared
AstrBot and openclaw connect AI assistants to messaging services people already use. AstrBot centers on a chatbot framework with broad model, agent, and plugin integrations, while openclaw centers on a self-hosted assistant managed through a Gateway and companion apps.
AstrBot: Build AI Assistants for Messaging Platforms
AstrBot is a Python-based Agent chatbot platform that connects AI conversations and tools to mainstream messaging apps. It helps individuals and teams deploy assistants in their existing chat workflows, with plugins, model integrations, and a web interface.
openclaw: Run a Personal AI Assistant Across Your Devices
OpenClaw runs an AI assistant on your own hardware and connects it to messaging apps and device companions. It suits people who want a configurable assistant across multiple channels, with the Gateway and security settings under their control.
| AstrBot | openclaw | |
|---|---|---|
| Language | Python | TypeScript |
| License | AGPL-3.0 | MIT |
| Stars | 42.1k | 392k |
| Forks | 3.1k | 82.3k |
| Last analyzed | Oct 19, 2026 | Oct 10, 2026 |
Key differences
- AstrBot is a Python chatbot platform; openclaw is a TypeScript assistant built around a central Gateway.
- AstrBot lists QQ, Feishu, and DingTalk among its integrations; openclaw lists WhatsApp and iMessage, plus companion apps and device nodes.
- AstrBot includes a WebUI and web chat interface; openclaw offers a CLI, terminal UI, and web Control UI for its Gateway.
- AstrBot is licensed under AGPL-3.0, while openclaw is licensed under MIT.
- AstrBot describes Docker and command-line deployment options; openclaw describes running on user hardware and keeping assistant state, memory, and credentials there.
- The projects describe different setup and operational considerations: AstrBot's quick start requires uv and Python 3.12 or newer, while openclaw's published package requires a supported Node.js runtime.
Choose AstrBot if you…
- need a chatbot framework connecting multiple messaging platforms to models and agent services.
- want integrations such as MCP, skills, multimodal conversations, or an extension marketplace.
- prefer deployment options that include Docker or a command-line installation route.
Choose openclaw if you…
- want a self-hosted assistant managed through a Gateway across messaging channels and companion apps.
- want assistant state, memory, and credentials kept on the hardware where it runs.
- need device-node capabilities such as voice, camera, screen, or device-local actions on supported platforms.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.