Comparisons / Haystack vs Mastra

Haystack vs Mastra: Which Agent Framework to Use?

Haystack vs Mastra, head to head

Haystack and Mastra both let you build an agent, but they sit in different parts of the stack and they assume different things about who's writing the code.

Haystack by deepset is a framework for building NLP and LLM pipelines.

Mastra is a TypeScript-first framework for building AI agents, from the team behind Gatsby.

Underneath, both wrap the same thing: a model call, a tool dispatch, a loop. The decision is about which abstraction your team wants to think in day to day, and which ecosystem you're willing to inherit along with it. There's an honest, framework-free version of the same pattern in about 60 lines of Python in the lesson at the bottom of this page — useful as a baseline regardless of which framework wins.

Pick Haystack if

Pick Haystack if haystack earns its complexity when you're building RAG pipelines with multiple retrieval stages, document processing, and production deployment needs. But for straightforward agents with a few tools, the plain Python version is simpler to write and debug. The tradeoffs in its intro should match how your team already thinks about agents; Mastra will feel like translation if they don't.

Full Haystackcomparison →

Pick Mastra if

Pick Mastra if mastra is the best option for TypeScript teams that want a batteries-included agent framework without leaving the Node.js ecosystem. The workflow engine and Studio are genuinely productive. For simple agents or Python teams, the plain approach avoids an unnecessary dependency. The tradeoffs in its intro should match how your team already thinks about agents; Haystack will feel like translation if they don't.

Full Mastracomparison →

What both add

Whichever you pick, you're inheriting a dependency tree and a vocabulary your team has to learn before they ship anything. Haystack has its own class hierarchy and tool registration conventions; Mastra has its. Either way, when something misbehaves you'll be reading framework source before you reach the actual HTTP call.

If the real workload is one model and a handful of tools, both can feel like a workbench for driving a nail. The lesson below builds the same pattern in plain Python — useful as a comparison point even if you ultimately keep the framework.

By the numbers

By the numbers

Haystack

GitHub Stars

24.7k

Forks

2.7k

Language

Python

License

Apache-2.0

Created

2019-11-14

Created by

deepset

github.com/deepset-ai/haystack

Mastra

GitHub Stars

22.7k

Forks

1.8k

Language

TypeScript

License

Apache-2.0

Created

2024-08-06

Created by

Mastra AI

Backed by

Spark Capital, Y Combinator

Funding

Series A ($22M, Apr 2026 — $35M total)

Weekly downloads

244.0k

github.com/mastra-ai/mastra

GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.

ConceptHaystackMastra
Agent`Agent` component with `ChatGenerator`, tool definitions, and message routing`new Agent({ model, instructions, tools })` with automatic tool dispatch
Tools`Tool` dataclass with function reference, name, description, parameters schema`createTool({ name, schema, execute })` with Zod validation
Pipeline Architecture`Pipeline()` with `add_component()` and `connect()` — a directed graph of typed components
RAG / Retrieval`DocumentStore` + `Retriever` + `PromptBuilder` + `Generator` wired in a `Pipeline`
Memory`ChatMessageStore` with `ConversationMemory` component in pipelineShort-term thread memory + long-term vector memory across sessions
DeploymentPipeline YAML serialization, `Hayhooks` REST server
Workflows`Workflow` class with `.step()`, `.then()`, `.branch()` for orchestration
RAGBuilt-in document syncing, chunking, embedding, and vector search
StudioMastra Studio: local GUI for testing agents, viewing traces, debugging

Or build your own in 60 lines

Both Haystack and Mastra implement the same 8 patterns. An agent is a function. Tools are a dict. The loop is a while loop. The whole thing composes in ~60 lines of Python.

No framework. No dependencies. No opinions. Just the code.

Build it from scratch →