LangGraph vs Mastra
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose LangGraph if you want low-level framework for stateful, durable, graph-based llm agents (Supervised agent, freemium); choose Mastra if you want typescript framework for building ai agents and workflows (Supervised agent, free).
| LangGraph | Mastra | |
|---|---|---|
| What it is | Low-level framework for stateful, durable, graph-based LLM agents | TypeScript framework for building AI agents and workflows |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Framework free (MIT); LangGraph Platform via LangSmith (free Developer tier) | free · Free (open source; pay underlying model usage) |
| Best for | developers, enterprise, mid-market | developers |
| Deployment | self-hosted, api, saas | self-hosted, api |
| Modalities | text, code, api | text, code, api |
| Models | model-agnostic, gpt, claude, gemini, open-source | model-agnostic |
| Protocols | function-calling, mcp, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Google, AWS Bedrock, LangSmith | OpenAI, Anthropic, Google Gemini, Node.js, MCP servers |
| Capabilities | 4 documented | 3 documented |
LangGraph
- +Explicit graph model makes complex agent control flow (loops, branching, multi-agent routing) inspectable and controllable
- +Production-grade primitives: durable execution, checkpointing/time-travel, and first-class human-in-the-loop interrupts
- +Open source and model-agnostic, with a hosted LangGraph Platform and LangSmith observability for deployment
- -Lower-level and more verbose than higher-level agent libraries; a steeper learning curve
- -Framework, not a product: autonomy and quality depend entirely on what the developer builds
Mastra
- +TypeScript-first, filling a gap for JS/TS teams in a Python-dominated space
- +Includes agents, workflows, memory, and observability out of the box
- +Apache-2.0 licensed and backed by the experienced Gatsby team
- -TypeScript/JavaScript only
- -A framework, not a product: you build, host, and secure your agents
Which should you choose?
LangGraph is low-level framework for stateful, durable, graph-based llm agents, best for developers, enterprise, mid-market. Mastra is typescript framework for building ai agents and workflows, best for developers. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.