Alternatives to Mastra
TypeScript framework for AI agents and workflows
Mastra ranks #5 of 10 in AI agent frameworks, with an Alt Score of 93. It is licensed under Apache License 2.0 and open source with paid hosting from $250/month. 13 of 13 checklist rows are verified against a public source.
Mastra is an open-source TypeScript framework for building AI agents, workflows and RAG, from the team behind Gatsby.
TypeScript/JavaScript developers and teams building production AI agents and workflows who want a framework-native fit with the modern JS ecosystem (React, Next.js, Node) rather than a Python-first stack.
An open-source (Apache-2.0) TypeScript framework for building agents, graph-based workflows, tool use, memory, and RAG, plus an optional Mastra Cloud managed deployment platform for shipping and observing agents in production.
Developers define agents and tools in TypeScript and compose them directly or orchestrate them with a graph-based workflow engine (.then(), .branch(), .parallel()) that supports suspend/resume for human-in-the-loop steps; projects run locally via the Mastra CLI and dev server, or are deployed with one command to Mastra Cloud for hosted execution, tracing, and metrics.
Where Mastra stands out
Verified capabilities most alternatives don't have.
Why people leave Mastra
Dashed reasons are sourced facts; the rest are opinions. Vendors can dispute.
Sign in to add a reason — new reasons go through moderation before appearing.
Ranked alternatives
Ordered by Alt Score. Click any score to see the breakdown.
LangGraph is a low-level orchestration framework (by LangChain) for building stateful, multi-agent applications as graphs.
LlamaIndex is a data framework for building LLM applications and agent workflows over your own data (RAG + agents).
CrewAI is a Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a crew.
Haystack (by deepset) is an open-source framework for building production LLM applications, RAG pipelines and agents.
Agno (formerly Phidata) is a full-stack Python framework for building multi-agent systems with memory, knowledge and tools.
AutoGen is an open-source Microsoft framework for building multi-agent applications with conversable, collaborating agents.
Semantic Kernel is a Microsoft open-source SDK for integrating LLMs and building AI agents in C#, Python and Java.
The OpenAI Agents SDK is a lightweight, provider-agnostic framework for building multi-agent workflows with handoffs and guardrails.
Pydantic AI is a Python agent framework that brings type-safe, structured outputs and dependency injection to LLM apps.
Feature comparison
Rows come from the AI agent frameworks checklist (17 rows). Human-verified cells only. ? means the value has not been verified.
| AI agent frameworks checklist | Mastra | LangGraph | LlamaIndex | CrewAI | Haystack | Agno |
|---|---|---|---|---|---|---|
| Pricing model | ||||||
| Starts at | ||||||
| License | ||||||
| Platforms | ||||||
| Open source | ||||||
| Language (Python) | ||||||
| Language (JS/TS) | ||||||
| Multi-agent orchestration | ||||||
| Graph / stateful workflows | ||||||
| Human-in-the-loop | ||||||
| Streaming support | ||||||
| Built-in memory / state persistence | ||||||
| Tool / function calling | ||||||
| Model-agnostic (multi-provider) | ||||||
| Observability / tracing integration | ||||||
| Managed / hosted deployment | ||||||
| RAG support |
Sources & verification
17
Every fact and feature listed for Mastra is verified against its own pages. Each alternative is sourced on its own page.
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Starts at $250/month verified 2026-07-16
Cheapest paid tier (Teams); a Starter tier is free ($0/month, 'Free for everyone').
Teams For growing teams $250 / month
https://mastra.ai/pricing -
Status active verified 2026-07-16
pushed_at": "2026-07-16T22:23:56Z", "archived": false"
https://api.github.com/repos/mastra-ai/mastra -
License Apache License 2.0 verified 2026-07-16
Apache License 2.0" as defined below." — Dual-license model: the core framework and vast majority of the codebase is Apache-2.0; code under any directory named ee/ (enterprise features, e.g. packages/core/src/auth/ee/) is source-available un
Content outside of the above-mentioned directories or restrictions is available under the
https://raw.githubusercontent.com/mastra-ai/mastra/main/LICENSE.md -
Pricing model OSS + paid hosting verified 2026-07-16
Pricing that scales with your agents Build your agent with our open source framework. ... Starter Free for everyone $0 / month ... Teams For growing teams $250 / month ... Enterprise For teams at scal
https://mastra.ai/pricing -
Open source Yes verified 2026-07-16
Apache License 2.0 — The core framework and the vast majority of this codebase is open source under Apache-2.0.
https://raw.githubusercontent.com/mastra-ai/mastra/main/README.md -
Language (Python) No verified 2026-07-16
README frames Mastra as TypeScript-only; no official Python package exists (pypi.org/pypi/mastra/json and pypi.org/pypi/mastra-ai/json both return 404).
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
https://raw.githubusercontent.com/mastra-ai/mastra/main/README.md -
Language (JS/TS) Yes verified 2026-07-16
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
https://raw.githubusercontent.com/mastra-ai/mastra/main/README.md -
Multi-agent orchestration Yes verified 2026-07-16
A multi-agent system distributes a task across multiple agents instead of asking one agent to do everything. In Mastra, this usually means combining agents, workflows, or both so each part of the syst
https://mastra.ai/guides/concepts/multi-agent-systems -
Graph / stateful workflows Yes verified 2026-07-16
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 fl
https://raw.githubusercontent.com/mastra-ai/mastra/main/README.md -
Human-in-the-loop Yes verified 2026-07-16
Workflows can be paused at any step to collect additional data, wait for API callbacks, throttle costly operations, or request human-in-the-loop input.
https://mastra.ai/docs/workflows/suspend-and-resume -
Streaming support Yes verified 2026-07-16
Mastra supports real-time, incremental responses from agents and workflows, allowing users to see output as it's generated instead of waiting for completion.
https://mastra.ai/guides/concepts/streaming -
Built-in memory / state persistence Yes verified 2026-07-16
Memory enables your agent to remember user messages, agent replies, and tool results across interactions, giving it the context it needs to stay consistent, maintain conversation flow, and produce bet
https://mastra.ai/docs/memory/overview -
Tool / function calling Yes verified 2026-07-16
Agents use tools to call APIs, query databases, or run custom functions from your codebase. Tools give agents capabilities beyond language generation by providing structured access to data and perform
https://mastra.ai/docs/agents/using-tools -
Model-agnostic (multi-provider) Yes verified 2026-07-16
Mastra provides a unified interface for working with LLMs across multiple providers, giving you access to 4856 models from 156 providers through a single API.
https://mastra.ai/models -
Observability / tracing integration Yes verified 2026-07-16
Mastra also supports external tracing providers like Langfuse, Datadog, and any OpenTelemetry-compatible platform.
https://mastra.ai/docs/observability/overview -
Managed / hosted deployment Yes verified 2026-07-16
This is the Mastra Cloud / Server managed deployment offering, with paid Teams/Enterprise tiers at mastra.ai/pricing.
Ship Your Mastra Agent in One Command Push code, get a URL. Routing, scaling, and infrastructure are handled for you.
https://mastra.ai/ai-agent-deployment -
RAG support Yes verified 2026-07-16
RAG in Mastra helps you enhance LLM outputs by incorporating relevant context from your own data sources, improving accuracy and grounding responses in real information.
https://mastra.ai/docs/rag/overview
FAQ
Yes. AutoGen, Semantic Kernel and OpenAI Agents SDK have a free tier or are fully free. Free-tier limits in the comparison table are verified and dated.
LangGraph, LlamaIndex and CrewAI — every license claim links its source.