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Mastra

active

#1 TypeScript/JavaScript agent framework with no comparable competitor — 2.0M npm downloads/month, 22,115 GitHub stars, 442-pt HN Show HN launch (strongest JS agent launch in 14 months), $13M seed (YC W25, Paul Graham, Guillermo Rauch, Amjad Masad). Named customers: Replit, PayPal, Adobe, Elastic, Docker.

Score 85

Where it wins

2.0M npm downloads/month — only JS-native framework at this scale

22,115 GitHub stars; perfect 52/52 weekly commit cadence; 15,971 total commits

HN Show HN: 442 pts, 154 comments (2025-02-19) — top JS agent launch in 14 months

v1.0 launch: 213 pts, 70 comments (2026-01-20)

$13M seed: YC W25, Paul Graham, Guillermo Rauch (Vercel), Amjad Masad (Replit)

Named customers: Replit, PayPal, Adobe, Elastic, Docker

v1.7.0 patched major memory leak (Tiktoken ~80–120 MB/request) + PostgreSQL deadlock

Where to be skeptical

Custom license — not MIT/Apache, review before production use

YC W25 = early-stage; production evidence mostly self-reported

Python frameworks have deeper tooling ecosystems

Editorial verdict

For JS/TS teams, this is not a comparison decision — it is the default. No other serious TypeScript-native multi-agent framework at scale. 442-pt HN thread is the strongest community validation signal in the entire frameworks category. Custom license (not MIT/Apache) — review before production use.

Videos

Reviews, tutorials, and comparisons from the community.

Introduction to Mastra

Mastra·2025

Related

Teams of Agents / Multi-Agent Orchestration

#F11of 23

TypeScript/JavaScript teams — the default choice with no comparable competitor

Claude Code

98

Anthropic's official agentic coding CLI. v2.1.81 (Mar 20) shipped `--bare`, smarter worktree resume, and improved MCP OAuth while the repo crossed 82,204 stars and logged ~14 commits/week across 10+ maintainers. Terminal-native, tool-use-driven, with deep file system + shell access, #1 SWE-bench Pro standardized (45.89%), ~4% of GitHub public commits (SemiAnalysis), $2.5B annualized revenue. 8M+ npm weekly downloads. Opus 4.6 with 1M context.

LangGraph

95

#1 Python agent framework by production evidence — 40.2M PyPI downloads/month, Fortune 500 deployments (LinkedIn, Uber, Replit, Elastic, Klarna, Cloudflare, Coinbase), ~400 LangGraph Platform companies, LangSmith rated best-in-class observability. Stable v1.x API, model-agnostic, MCP support.

Pydantic AI

95

#3 Python agent framework by downloads — 15.6M PyPI/month. Built by the Pydantic team. Runtime type enforcement is a genuine differentiator no other framework offers. V1 shipped with Temporal integration for durable execution and Logfire observability. Emerging pattern: 'Pydantic AI for agent logic, LangGraph for orchestration' (ZenML).

AutoGen (Microsoft)

95

⚠️ MAINTENANCE MODE — Microsoft officially confirmed bug fixes and security patches only, no new features (VentureBeat 2026-02-19). 55.9K stars but only 1.57M PyPI/month — DL/star ratio of 28, the most inflated among active frameworks. Being replaced by Microsoft Agent Framework (AutoGen + Semantic Kernel merge, GA targeted ~Q2 2026). Teams on AutoGen should plan migration.

Public evidence

Raw GitHub source

GitHub README peek

Constrained peek so you can sanity-check the source material without leaving the site.

Mastra

CodeQl

Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

It includes everything you need to go from early prototypes to production-ready applications. Mastra integrates with frontend and backend frameworks like React, Next.js, and Node, or you can deploy it anywhere as a standalone server. It's the easiest way to build, tune, and scale reliable AI products.

Why Mastra?

Purpose-built for TypeScript and designed around established AI patterns, Mastra gives you everything you need to build great AI applications out-of-the-box.

Some highlights include:

  • Model routing - Connect to 40+ providers through one standard interface. Use models from OpenAI, Anthropic, Gemini, and more.

  • Agents - Build autonomous agents that use LLMs and tools to solve open-ended tasks. Agents reason about goals, decide which tools to use, and iterate internally until the model emits a final answer or an optional stopping condition is met.

  • Workflows - When you need explicit control over execution, use Mastra's graph-based workflow engine to orchestrate complex multi-step processes. Mastra workflows use an intuitive syntax for control flow (.then(), .branch(), .parallel()).

  • Human-in-the-loop - Suspend an agent or workflow and await user input or approval before resuming. Mastra uses storage to remember execution state, so you can pause indefinitely and resume where you left off.

  • Context management - Give your agents the right context at the right time. Provide conversation history, retrieve data from your sources (APIs, databases, files), and add human-like working and semantic memory so your agents behave coherently.

  • Integrations - Bundle agents and workflows into existing React, Next.js, or Node.js apps, or ship them as standalone endpoints. When building UIs, integrate with agentic libraries like Vercel's AI SDK UI and CopilotKit to bring your AI assistant to life on the web.

  • MCP servers - Author Model Context Protocol servers, exposing agents, tools, and other structured resources via the MCP interface. These can then be accessed by any system or agent that supports the protocol.

  • Production essentials - Shipping reliable agents takes ongoing insight, evaluation, and iteration. With built-in evals and observability, Mastra gives you the tools to observe, measure, and refine continuously.

Get started

The recommended way to get started with Mastra is by running the command below:

npm create mastra@latest

Follow the Installation guide for step-by-step setup with the CLI or a manual install.

If you're new to AI agents, check out our templates, course, and YouTube videos to start building with Mastra today.

Documentation

Visit our official documentation.

Build with AI

Learn how to make your agent a Mastra expert by following the Build with AI guide.

Contributing

Looking to contribute? All types of help are appreciated, from coding to testing and feature specification. Read CONTRIBUTING.md for more details on how to get involved.

If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.

Information about the project setup can be found in the development documentation

Support

We have an open community Discord. Come and say hello and let us know if you have any questions or need any help getting things running.

It's also super helpful if you leave the project a star here at the top of the page

Licensing

This repository uses a dual-license model:

  • Apache License 2.0 — The core framework and the vast majority of this codebase is open source under Apache-2.0.
  • Mastra Enterprise License — Code in any directory named ee/ (e.g., packages/core/src/auth/ee/) is source-available under the Mastra Enterprise License. These features require a valid enterprise license for production use but can be freely used for development and testing.

See LICENSE.md for the full license mapping and ee/LICENSE for the enterprise license terms.

Security

We are committed to maintaining the security of this repo and of Mastra as a whole. If you discover a security finding we ask you to please responsibly disclose this to us at security@mastra.ai and we will get back to you.

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