Mastra vs LangGraph vs Microsoft Agent Framework 2026
Mastra vs LangGraph vs Microsoft Agent Framework
The three most talked-about AI agent frameworks in April 2026. Here’s how to pick between them.
Last verified: April 10, 2026
Quick Comparison
| Feature | Mastra | LangGraph | MS Agent Framework |
|---|---|---|---|
| Language | TypeScript | Python | Python + .NET |
| By | Mastra Inc. | LangChain | Microsoft |
| Released | Oct 2024 | 2024 | Late 2025 |
| GitHub stars | 22K+ | 12K+ | 8K+ (growing fast) |
| License | Apache 2.0 | MIT | MIT |
| SOC 2 | ❌ (as of early 2026) | Via LangSmith | ✅ Via Azure |
| Best for | TS/Next.js teams | Complex Python agents | MS/Azure shops |
Mastra
What it is: TypeScript-native agent framework. Launched October 2024, hit 22K+ stars and 300K+ weekly npm downloads by Q1 2026.
Strengths:
- Painless TypeScript DX — Slots into Next.js projects cleanly
- Observational Memory — Automatic token compression at 30K tokens, no config needed
- Workflows, agents, RAG in one framework
- Fast iteration — Active team, frequent releases
- Playground UI — Built-in local dev UI for testing agents
Weaknesses:
- TypeScript only — no Python support
- No SOC 2 certification (as of early 2026)
- Younger ecosystem than LangGraph
- Fewer third-party integrations than LangChain
Pick Mastra if: Your team writes TypeScript, you’re building in Next.js, or you want the best DX among agent frameworks.
LangGraph
What it is: LangChain’s graph-based agent framework. The industry default for complex stateful Python agents.
Strengths:
- Most mature production deployments
- Stateful graphs — First-class support for complex multi-step workflows with cycles
- Human-in-the-loop — Best-in-class support for HITL flows
- LangSmith — Tight integration with LangChain’s observability platform (with SOC 2)
- Huge ecosystem — Every major LLM, tool, and vector DB has LangChain integration
- DeepAgents — LangChain’s new agent harness built on LangGraph (released March 2026)
Weaknesses:
- Python only (official support)
- Steeper learning curve than Mastra
- LangChain overhead — imports, abstractions, sometimes verbose
- Memory management requires deliberate configuration
Pick LangGraph if: You’re Python-first, building complex stateful agents, or need human-in-the-loop workflows.
Microsoft Agent Framework
What it is: Microsoft’s open-source agent framework, released late 2025. Borrows LangGraph’s graph model but with better DX and tight Azure integration.
Strengths:
- Copies LangGraph’s best ideas with cleaner APIs
- Azure AI Foundry integration — First-class hosting and observability
- Semantic Kernel compatibility — Migrate from SK without rewriting
- Both Python and .NET — Rare dual-language support
- Enterprise features built-in — RBAC, audit logs, Azure AD
- Free SOC 2/ISO via Azure hosting
Weaknesses:
- Newest framework, smaller community
- Best experience requires Azure (vendor pull, though not required)
- Fewer third-party integrations than LangChain
Pick MS Agent Framework if: You’re a Microsoft shop, on Azure, already using Semantic Kernel, or need enterprise compliance out of the box.
Use Case Matrix
| Use Case | Pick |
|---|---|
| Next.js app with AI agents | Mastra |
| Complex Python multi-agent system | LangGraph |
| Azure enterprise deployment | MS Agent Framework |
| Fastest prototyping | Mastra |
| Most integrations out of the box | LangGraph |
| Best developer experience | Mastra |
| SOC 2 required immediately | LangGraph (LangSmith) or MS Agent Framework |
| Human-in-the-loop workflows | LangGraph |
| .NET shop | Microsoft Agent Framework |
| Long-term memory management | Mastra (Observational Memory) |
Honorable Mentions
- CrewAI — Still popular for role-based multi-agent teams, great for quick prototypes
- OpenAI Agents SDK — Simplest if you’re fully on OpenAI models
- PydanticAI — Great for Python teams who want type safety over graph flexibility
- Vercel AI SDK — Closer to a chat+tool-calling SDK than a full agent framework, but excellent for Next.js
- OpenClaw — Lightweight agent framework focused on daily assistant workflows
The 2026 Reality
The agent framework wars are settling. In April 2026:
- LangGraph owns the complex Python enterprise tier
- Mastra owns the TypeScript/Vercel ecosystem
- Microsoft Agent Framework is the new Azure default
- Everyone else serves niches (CrewAI for prototyping, OpenAI Agents SDK for pure-OpenAI workflows, etc.)
Pick based on your language and deployment target, not on which has the flashiest demos.
Last verified: April 10, 2026