AstrBot vs Mastra
Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.
Open source30k stars
AstrBot
Python bot with excellent Chinese platform support (QQ, WeChat, Feishu, DingTalk)
Open source23k stars
Mastra
TypeScript-first agent framework with observational memory and workflow orchestration
Category
AstrBot
Mastra
Tagline
Python bot with excellent Chinese platform support (QQ, WeChat, Feishu, DingTalk)
TypeScript-first agent framework with observational memory and workflow orchestration
Deployment
Self-Hosted
Self-Hosted
Pricing
Free to use, with optional model or infrastructure costs if you self-host.
Free to use, with optional model or infrastructure costs if you self-host.
Channels
QQ, WeChat, Feishu, DingTalk, Telegram, Discord, Slack, LINE
Web, CLI
Open source
Yes
Yes
Privacy
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Good privacy posture for most teams, especially when self-hosted or carefully configured.
AstrBot pros
- Open source with transparent code and flexible deployment options.
- Security posture is strong for sensitive workflows.
- Strong privacy story for users who care where data runs.
Mastra pros
- TypeScript-first — rare in the agent framework space (most are Python)
- Observational Memory — automatically tracks and surfaces agent reasoning patterns
- From the Gatsby team — proven track record building developer-facing OSS
AstrBot cons
- Trade-offs are moderate rather than severe, but it does not stand out sharply on every dimension.
Mastra cons
- TypeScript-only — not suitable for Python-heavy stacks
- Younger ecosystem compared to LangChain or CrewAI
- Primarily a development framework — not a ready-to-use personal assistant
AstrBot gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Mastra gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Not sure which one fits you?
Take the two-minute quiz and let the app rank these options against your channels, privacy requirements, deployment comfort, and budget.