Mastra core 1.77.0 or LangGraph 1.2.15: which should I use?

Mastra vs LangGraph (2026)

Short answer: Mastra is best for TypeScript teams, especially agents that run code in sandboxes (Docker, E2B). LangGraph is best for Python teams that want graph-level control over agent state.

Mastra core vs LangGraph: verdict, side-by-side table and sources.

	Mastra core 1.77.0	LangGraph 1.2.15
What it is	Open-source TypeScript agent framework.	LangChain's MIT-licensed framework for building stateful, controllable agents as graphs ("Build resilient agents").
Pricing	Open source	Open source
Latest release we track	1.77.0 (14 Oct 2026)	1.2.15 (12 Oct 2026)
AgentPick Score	86/100	90/100
Try it	Official source ↗	Official source ↗

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Our take

Mastra is best for TypeScript teams, especially agents that run code in sandboxes (Docker, E2B). LangGraph is best for Python teams that want graph-level control over agent state.

The sourced entries

Mastra core 1.77.0

Agent building AgentPick Score 86/100 · #14 in category Released 14 Oct 2026

Verdict: A strong pick for TypeScript teams that need agents to run code in sandboxes. The new Factory pieces matter most if you run many sandboxed sessions.

Test notes: The verdict is based on the linked public release notes only.

Pricing: Open source

Source: github.com · Last checked 15 Oct 2026

LangGraph 1.2.15

Agent building AgentPick Score 90/100 · #4 in category Released 12 Oct 2026

Verdict: The low-level choice when you need explicit control over agent state, branching and persistence. More code than CrewAI's role-based crews, but more control.

Test notes: The verdict is based on the linked public sources only.

Pricing: Open source

Source: github.com pypi.org · Last checked 15 Oct 2026

Every row comes from the sources linked on each card. Last updated 15 Oct 2026.