# Mastra Alternatives (2026): 5 Compared

> Source: https://theagentsindex.com/mastra/alternatives (curated, quality-gated, re-verified)

Mastra is the one framework in this index built TypeScript-first rather than as a Python port with JS bindings layered on — a real, defensible niche for full-stack JS and Next.js teams who don't want to stand up a separate Python service just to add an agent. Its own listing is upfront about what that costs: "a much younger ecosystem and community than LangChain's multi-year head start," and memory that resets per session rather than persisting as a durable object the way a stateful framework's does. Its own "not for" call names Python-first teams and anyone needing "the largest tutorial/integration surface" directly. The five tools below are independently researched, Published listings on this site, not a scraped or AI-generated list: each carries current pricing verified against the vendor's own page, sourced pros and cons, and an honest "best for" and "not for" call. LangChain, via LangGraph, is the most direct fix for the ecosystem-size gap Mastra names about itself; CrewAI and Pydantic AI answer a similar Python-first gap from two different angles, one favoring speed, the other sharing Mastra's own "validate before it ships" philosophy; Letta answers the one memory limitation Mastra's own listing admits directly; and n8n drops code entirely for a visual canvas, for teams who'd rather configure a workflow than write one.

| # | Name | What it is | Why it's here | Pricing | API |
| --- | --- | --- | --- | --- | --- |
| 1 | [LangChain](https://theagentsindex.com/langchain.md) | The most widely-used framework for building LLM apps and agents, with LangGraph for stateful multi-agent control: open-source and free to self-host. | The default choice once TypeScript-native isn't a hard requirement: LangChain's ecosystem is roughly five times Mastra's size (144K+ GitHub stars vs. Mastra's 27K+, both fetched live), and LangGraph adds native graph-branching, checkpointed control Mastra's more linear workflow engine doesn't attempt. The cost is real: LangChain is Python-first, with JavaScript/TypeScript shipped as a secondary-target SDK rather than the first-class language Mastra is built around, plus LangChain's own admitted API churn across versions. | Free | Yes |
| 2 | [CrewAI](https://theagentsindex.com/crewai.md) | Open-source Python framework for role-based multi-agent crews, with a hosted build and runtime that adds enterprise governance, native SDKs for the major LLMs, and Ollama via LiteLLM. | The faster path to a working multi-agent "crew" for teams standardizing on Python rather than TypeScript — role-based agent coordination shipped in under an hour, backed by a stable 1.0 release and 2 billion-plus production workflow runs in the trailing 12 months. It doesn't unify workflows, memory and observability in one package the way Mastra does; teams get that by assembling CrewAI with separate tools, or paying for the still-thin CrewAI AMP cloud tier (a single free 50-execution/month plan, then straight to custom Enterprise pricing). | Free (month (50 workflow executions)) | Yes |
| 3 | [Pydantic AI](https://theagentsindex.com/pydantic-ai.md) | The Python AI SDK for type-safe agents, realtime voice, image generation and embeddings, with every model a string swap away. | The closest match in philosophy, if not language: like Mastra, its whole design is "catch bad output before it ships," just enforced through Python type hints and Pydantic validation at write-time rather than Mastra's TypeScript-native typing. It ships fewer pre-built integrations than either Mastra or LangChain, and durable, checkpointed execution means wiring in an external orchestrator (Temporal, DBOS, Prefect or Restate) yourself, not a built-in engine the way Mastra's workflow layer is. | Free | — |
| 4 | [Letta](https://theagentsindex.com/letta.md) | Letta is the open-source framework behind Letta Code, a stateful coding agent whose memory, skills, and identity persist across sessions rather than rebuilding context on every call. | Answers the one gap Mastra names about itself directly: Mastra's memory resets per session, while Letta agents are stateful, durable server objects whose memory persists and is versioned via git-based Context Repositories across runs. The trade-off is a much smaller ecosystem (24K+ GitHub stars vs. Mastra's 27K+, both still far behind LangChain's 144K+) and no unified workflow/observability layer of Mastra's own. | $0 / month | Yes |
| 5 | [n8n](https://theagentsindex.com/n8n.md) | Source-available workflow automation with native AI-agent nodes and 500+ integrations. Self-hostable free, or on n8n Cloud from €20/month. | The opposite extreme from Mastra's code-first framework: a visual canvas with native AI-agent nodes and 400+ integrations, free to self-host or from €20/month on Cloud. Its fair-code licence isn't OSI open source the way Mastra's Apache-2.0 core is, and n8n's own listing admits deeply branching logic "can get unwieldy" on a canvas — a different flavor of the complexity Mastra's typed workflows are built to manage in code. | Free | Yes |

## Methodology

We drew alternatives from this site's frameworks and agent-platforms categories, 26 Published listings between them (14 and 12 respectively), not from frameworks alone. LlamaIndex was excluded as a complement, not a substitute, the same reasoning LangChain's own alternatives page uses: its own FAQ says most production stacks pair it with an orchestration layer for retrieval rather than choosing between the two. Microsoft AutoGen was excluded on the facts already in its own listing: it is in Microsoft's own stated maintenance mode, its README pointing new users to the Microsoft Agent Framework instead of a fresh AutoGen build. The OpenAI Agents SDK and Agno were both excluded as not adding a distinct axis beyond what is already covered here — Agno's built-in memory/knowledge/multi-agent-team pitch overlaps CrewAI's fast-multi-agent entry and Pydantic AI's typed-output entry without closing a gap neither already answers, and the OpenAI Agents SDK is more minimal than Mastra, not more mature, so it does not fix the ecosystem-size gap LangChain answers directly. A tool qualifies only if it answers a real, specific gap Mastra names about itself, or a genuinely different axis its unified framework does not touch at all. The order below runs from the most direct ecosystem-maturity fix, through the same-philosophy Python equivalent and the faster role-based path, to the two different-axis entrants (persistent memory, then no-code).