Head to head
Mastra vs LangGraph Platform
A side-by-side, sourced comparison. Facts come from each vendor’s own materials; scores are our editorial opinion applied by the same rubric to both.
| Dimension | ||
|---|---|---|
| Pricing | Self-hosted is free (Apache-2.0). Cloud Starter $0/mo with usage metering, Cloud Teams $250/mo, Enterprise custom; add-ons include memory at $10/1M tokens.source ↗ | Framework is free (MIT). Managed: Developer $0/seat (up to 5k base traces/mo), Plus $39/seat/mo, Enterprise custom; usage add-ons include deployment runs at $0.005/run.source ↗ |
| Hosting model | Dual — self-host the open-source TypeScript library on your own infra, or use managed Mastra Cloud.source ↗ | Open-source framework self-hosted on your own infra; managed cloud deployment available; self-hosted and hybrid deployment gated to the Enterprise tier.source ↗ |
| Memory & state | Message history, working memory (persistent structured user data), semantic recall (embedding-based retrieval), and observational memory; requires a storage provider (PostgreSQL, LibSQL, or Redis).source ↗ | Durable execution across restarts and cold starts, persistent checkpoints (payloads up to 25 MB), and semantic search for long-term memory, with per-subagent state isolation via threads.source ↗ |
| MCP support | Nativesource ↗ | Nativesource ↗ |
| Integrations | Tools and MCP servers, plus framework adapters for Next.js, React, Astro, Express, SvelteKit, and Hono, and data-source connectors.source ↗ | Docs cite 1000+ integrations; tools are consumed as built-ins plus remote (HTTP) and local MCP servers via langchain-mcp-adapters.source ↗ |
| Model providers | A model router to 90+ providers via a single provider/model API — OpenAI, Anthropic, Google, DeepSeek, Groq, Mistral, xAI, plus gateways like OpenRouter and any Vercel AI SDK model.source ↗ | Many via langchain-<provider> packages: OpenAI, Anthropic, Google (Vertex + GenAI), AWS, Ollama, Groq, Azure AI, Mistral, xAI, Cohere, DeepSeek, and more.source ↗ |
| Open source | Yessource ↗ | Yessource ↗ |
| Developer experience(opinion) | 5/5 | 4/5 |
| Pricing transparency & value(opinion) | 4/5 | 3/5 |
| Scalability(opinion) | 4/5 | 5/5 |
| Memory & state(opinion) | 4/5 | 5/5 |
| Integrations(opinion) | 3/5 | 5/5 |
| MCP nativeness(opinion) | 5/5 | 4/5 |
The balanced view
Editorial opinion, derived from the scorecard above
Where Mastra scores higher
In our rubric, Mastra rates ahead on developer experience, pricing transparency & value, mcp nativeness.
Where LangGraph Platform scores higher
In our rubric, LangGraph Platform rates ahead on scalability, memory & state, integrations.
These two serve different needs — read the full dossiers for Mastra and LangGraph Platform before deciding. Neither has been hands-on tested by us yet.
Product and company names are trademarks of their respective owners and are used here only to identify the products under discussion.