Mastra vs OpenHands
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
Open source72k stars
OpenHands
AI software development agent that writes code, fixes bugs, and creates pull requests autonomously
Category
Mastra
OpenHands
Tagline
TypeScript-first agent framework with observational memory and workflow orchestration
AI software development agent that writes code, fixes bugs, and creates pull requests autonomously
Deployment
Self-Hosted
Self-hosted (Docker)
Pricing
Free to use, with optional model or infrastructure costs if you self-host.
Free and open source. Requires LLM API key (OpenAI, Anthropic, or local via Ollama).
Channels
Web, CLI
Web, CLI
Open source
Yes
Yes
Privacy
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Self-hosted. Code and data stay on your machine. Use local models for full air-gap.
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
OpenHands pros
- Best-in-class coding agent with 71K+ stars.
- Can browse docs, write tests, fix CI failures autonomously.
- Active development, top SWE-bench scores.
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
OpenHands cons
- Primarily a coding agent, not a general assistant.
- Requires LLM API key with non-trivial costs per task.
- Complex Docker setup for first-time users.
Mastra gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
OpenHands gotchas
- Repo moved from All-Hands-AI/OpenHands to OpenHands/OpenHands.
- Works best with Claude Sonnet or GPT-4o.
- Token usage per PR can be high.
Not sure which one fits you?
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