LangChain vs Mastra
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose LangChain if you want open-source framework and platform for building and deploying llm agents (Supervised agent, freemium); choose Mastra if you want typescript framework for building ai agents and workflows (Supervised agent, free).
| LangChain | Mastra | |
|---|---|---|
| What it is | Open-source framework and platform for building and deploying LLM agents | TypeScript framework for building AI agents and workflows |
| Type | framework | framework |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Framework free (MIT); 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, llama, open-source | model-agnostic |
| Protocols | function-calling, mcp, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Google, AWS Bedrock, Pinecone, Hugging Face | OpenAI, Anthropic, Google Gemini, Node.js, MCP servers |
| Capabilities | 4 documented | 3 documented |
LangChain
- +Largest open-source LLM/agent framework community with very broad integration coverage
- +Model-agnostic design future-proofs apps against LLM churn
- +LangGraph adds production-grade primitives (durability, checkpointing, human-in-the-loop) that bare API calls lack
- -Frequently criticized for heavy abstractions and churn between API versions; debugging deep chains can be painful
- -Most production value (observability, deploy) lives in the paid LangSmith platform
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?
LangChain is open-source framework and platform for building and deploying 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.