AstrBot
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature
GraphCanon updated 5d · GitHub synced 5d
Decision brief
AstrBot is an AI agent assistant and development framework that integrates multiple instant messaging platforms with various language models and plugins under the AGPL-3.0 license.
Good fit when
- When you require a highly integrative environment where your AI agents can communicate across different instant messaging platforms like Discord, Telegram, QQ, and others.
- For developers who want to build upon or leverage a framework compliant with open-source standards (AGPL-3.0), especially if they aim for community-driven development and collaboration.
Avoid when
- If you are looking for proprietary solutions or do not want to comply with the AGPL-3.0 open-source license requirements, as AstrBot might not suit businesses preferring closed development.
- In scenarios where a very streamlined or simple AI agent without extensive plugin and platform customizability is required due to time constraints or a specific project scope that does not need broad,
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 5d
- Provenance
- Not a fork · Organization account
- As of 5d
- Security (OSV)
- No MCP manifest
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install AstrBot PyPIHow it fits your stack(11)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
AstrBotDevs/AstrBot is an integrated platform for developing AI agents which can interact across multiple instant messaging platforms and leverage various language models and plugins.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 16, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 16, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 16, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 16, 2026)
uv tool install astrbot --python 3.12Source link
Tags
README
One-Click Cloud Deployment (RainYun)
For users who want one-click 24-hour-online deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:
One-Click Deployment
[!NOTE] Requires uv to be installed. For macOS users: due to macOS security checks, the first run of the
astrbotcommand may take longer (about 10-20s).
For users who want to quickly experience AstrBot, are familiar with command-line usage, and can install a uv environment on their own, we recommend the uv one-click deployment method ⚡️:
uv tool install astrbot --python 3.12
astrbot init # Only execute this command for the first time to initialize the environment
astrbot run
Update astrbot:
uv tool upgrade astrbot --python 3.12
Docker Deployment
For users familiar with containers and looking for a more stable, production-ready deployment method, we recommend deploying AstrBot with Docker / Docker Compose.
Please refer to the official documentation: Deploy AstrBot with Docker.
Desktop Application Deployment
For users who want to use AstrBot on desktop and mainly use ChatUI, we recommend AstrBot App.
Visit AstrBot-desktop to download and install; this method is designed for desktop usage and is not recommended for server scenarios.
Launcher Deployment
For desktop users who also want fast deployment and isolated multi-instance usage, we recommend AstrBot Launcher.
Visit AstrBot Launcher to download and install.
More deployment methods
If you need panel-based management or deeper customization, see BT-Panel Deployment for BT Panel app-store setup, 1Panel Deployment for 1Panel app-market deployment, CasaOS Deployment for NAS/home-server visual deployment, and Manual Deployment for fully custom source-based installation with uv.
For agents
This page has a .md twin and JSON over the API.