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AstrBot

Open-source agent chatbot platform for IM apps, pitched as an OpenClaw alternative.

AstrBotDevs/AstrBot

Maintained by AstrBotDevs

AstrBot is an open-source, all-in-one agent chatbot platform that plugs LLM agents into mainstream instant-messaging apps, including QQ, WeChat Work, Feishu, DingTalk, Telegram and Slack. It supports agents, MCP, skills, knowledge bases, personas and automatic context compression. It can also integrate agent platforms such as Dify, Alibaba Cloud Bailian and Coze. It ships an agent sandbox for isolated code and shell execution, a WebUI and web ChatUI, and a plugin system with more than 1,000 one-click plugins. Its GitHub description calls it an OpenClaw alternative.

Pros & cons

Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.

Pros

  • DocsConnects one agent backend to many chat platforms: QQ, WeChat Work, Feishu, DingTalk, Telegram, Slack and more.[1]
  • DocsHas a large plugin ecosystem (the README cites 1000+ one-click plugins) and integrates with Dify, Coze and Alibaba Bailian agents.[1]
  • MetadataA mature project (started in Dec 2022) with frequent releases (v4.29.3 on 2026-10-24) and about 44.7k stars.[1]
  • DocsDocumented Docker / Docker Compose deployment for production use.[1]

Cons

  • MetadataAGPL-3.0 licensed, which is a problem for proprietary forks or hosted modifications.[1]
  • User reportsUsers report the Windows desktop backend's memory growing without bound, up to about 2 GB over long sessions.[1]
  • User reportsScheduled tasks can fire late, and there is no automatic retry when a model call fails (still a feature request).[1][2]
  • User reportsPlugins run in the core process; an open RFC proposes isolating them.[1]
  • MetadataThe community, issue tracker and docs are mostly Chinese-language, with about 712 open issues.[1]
Best for
Running one LLM agent across Chinese and global IM platforms (especially QQ/WeChat/Feishu) with a big plugin marketplace.
Watch out for
AGPL obligations and memory use on long-running Windows installs.

Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction

People

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Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintained by · 1

  • AstrBotDevsOrganisation

Built on · 1

Sources

  1. GitHub repo and README
  2. GitHub API repo metadata