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.
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.
By the numbers
By the numbers
Haystack
24.7k
2.7k
Python
Apache-2.0
2019-11-14
deepset
Mastra
22.7k
1.8k
TypeScript
Apache-2.0
2024-08-06
Mastra AI
Spark Capital, Y Combinator
Series A ($22M, Apr 2026 — $35M total)
244.0k
GitHub stats as of April 2026. Stars indicate community interest, not necessarily quality or fit for your use case.
| Concept | Haystack | Mastra |
|---|---|---|
| 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 pipeline | Short-term thread memory + long-term vector memory across sessions |
| Deployment | Pipeline YAML serialization, `Hayhooks` REST server | — |
| Workflows | — | `Workflow` class with `.step()`, `.then()`, `.branch()` for orchestration |
| RAG | — | Built-in document syncing, chunking, embedding, and vector search |
| Studio | — | Mastra 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 →