#66th of 15 in Agent frameworks and SDKs

mastra

TypeScript framework for building AI agents and workflows

Documentation ↗ Website ↗ Repository on GitHub ↗

Stars: 28.8k
License: custom license
Last commit: Oct 2026
Last release: Oct 2026
Language: TypeScript

Stars, last 29 weeks+6,826

21,991 on 24 Mar 202628,817 on 13 Oct 2026

From GitHub's daily star counts.

Checked 14 Oct 2026 on GitHub.

Overview

Mastra is a TypeScript framework for building agents and graph-based workflows, with model routing across 40+ providers. It adds suspend/resume human-in-the-loop, memory, RAG, MCP server authoring, evals and observability. It embeds in React, Next.js or Node apps, or runs as a standalone server, with a local Studio UI at port 4111.

Who it is for: TypeScript developers building agent and workflow features into apps

Strengths

Workflow engine with .then(), .branch() and .parallel() control flow
Suspend and resume runs via storage, so approvals can wait indefinitely
Built-in evals, observability, memory and RAG in one package set
Authors MCP servers exposing agents and tools; scaffold with npm create mastra@latest

Weaknesses

TypeScript only; no Python SDK mentioned
Dual license: code in ee/ directories needs an enterprise license for production
Storage backends and hardware requirements not listed in the README
No Docker or compose files detected in the repo

What it needs

no GPU
Needs Node.js, LLM provider API key
Models: OpenAI, Anthropic, Google Gemini, xAI, 40+ providers via model router
port 4111

Also in Agent frameworks and SDKs

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Also in Agent frameworks and SDKs
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1	langchainPython framework for building LLM agents and apps from interoperable components147.8k starsMIT	88 out of 100
2	browser-usePython library that lets an LLM agent control a web browser Live demo ↗ (opens in a new tab)117.9k starsMIT	88 out of 100
3	crewaiPython framework for multi-agent workflows with role-based Crews and event-driven Flows59.7k starsMIT	80 out of 100
#4	openai-agents-pythonPython SDK for multi-agent workflows with handoffs, guardrails and tracing30k starsMIT	77 out of 100
#5	agnoPython SDK and runtime for building and serving agents behind a REST API42.7k starsApache-2.0	76 out of 100

How to choose

Pick by language first (Python or TypeScript), then by how much the framework hides.
Check how it handles tool errors and retries; that is where agents break in production.
Look for tracing hooks so you can see each step later.

Health

Releases: 97 in the last 12 monthsLast one today
Top contributor: 16% of commits1,610 of 9,775 in the last 12 months
Security advisories: 1 published ↗ (opens in a new tab)On GitHub, in the last 12 months; 1 critical or high
OpenSSF Scorecard: Not checked

Read from GitHub, deps.dev and OpenSSF on 14 Oct 2026. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

custom license Custom terms

Use it at work: Check
Change it and rebrand it: Check
Sell it or host it for others: Check

Your part: GitHub could not match these terms to a standard license. Read the license before you use it at work, rebrand it or host it for others.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

#6 of 15 in Agent frameworks and SDKs on Archestack, as of 14 Oct 2026.

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Best of Open-Source AI on GitHub

Each review comes from the project's README and facts we check on GitHub. The fix form opens with mastra filled in.