Mastra vs Poke
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 source23k stars
Mastra
TypeScript-first agent framework with observational memory and workflow orchestration
Closed sourceN/A stars
Poke
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Category
Mastra
Poke
Tagline
TypeScript-first agent framework with observational memory and workflow orchestration
Consumer-friendly proactive AI assistant via iMessage/SMS/Telegram
Deployment
Self-Hosted
Managed SaaS
Pricing
Free to use, with optional model or infrastructure costs if you self-host.
Mid-tier paid pricing that fits regular professional use better than hobby use.
Channels
Web, CLI
iMessage, SMS, WhatsApp, Email
Open source
Yes
No
Privacy
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Some privacy controls exist, but vendor-hosted infrastructure still handles a meaningful share of the data flow.
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
Poke pros
- Can handle meaningful autonomous work instead of acting only as a reactive chatbot.
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
Poke cons
- Closed-source offering, so portability and vendor transparency are limited.
- Privacy controls are limited compared to self-hosted alternatives.
Mastra gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
Poke gotchas
- Recurring subscription or model spend can matter more than the headline feature list.
Not sure which one fits you?
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