AstrBot vs Hexabot

Messaging-focused AI assistants compared with workflow automation

AstrBot and Hexabot both help developers build AI-powered conversational applications. AstrBot centers on deploying assistants in messaging platforms, while Hexabot centers on defining workflows and actions in a shared runtime for conversational channels.

AstrBotHexabot
LanguagePythonTypeScript
LicenseAGPL-3.0—
Stars42.1k1.1k
Forks3.1k240
Last analyzedOct 19, 2026Oct 10, 2026

Key differences

  • AstrBot connects assistants to named messaging platforms such as QQ, Telegram, Feishu, Slack, and Discord; Hexabot focuses on configurable workflows and conversational channels.
  • AstrBot is written in Python and requires Python 3.12 or newer; Hexabot is written in TypeScript and requires Node.js ^24.17.0.
  • AstrBot integrates with several model services and external agent platforms; Hexabot emphasizes YAML workflows, reusable actions and bindings, memory, and MCP integration points.
  • AstrBot is licensed under AGPL-3.0; Hexabot's README identifies FCL-1.0-ALv2, while repository metadata reports NOASSERTION, so its license requires review.
  • AstrBot supports Docker and Docker Compose; Hexabot uses TypeORM, with SQLite as the local default and PostgreSQL available for production.
  • AstrBot has 42.1k stars and 3.1k forks; Hexabot has 1.1k stars and 240 forks. Hexabot is marked active but has had no release in over a year.

Choose AstrBot if you…

  • need assistants integrated with specific supported messaging platforms.
  • want a Python-based platform with integrations for multiple model services and plugins.
  • plan to use a WebUI or web ChatUI alongside messaging channels.
Read the AstrBot analysis →

Choose Hexabot if you…

  • want to define AI workflows in YAML and compose behavior from reusable actions and bindings.
  • need a TypeScript runtime with explicit memory definitions and MCP integration points.
  • want to prototype from a CLI-generated project with a local admin UI and API.
Read the Hexabot analysis →

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.