Comparisons / AutoGen vs Mastra

AutoGen vs Mastra: Which Agent Framework to Use?

AutoGen by Microsoft models agents as ConversableAgents that chat with each other. Mastra is a TypeScript-first framework for building AI agents, from the team behind Gatsby. Here is how they compare — paradigm, ecosystem, and the use cases each one is actually built for.

By the numbers

AutoGen

GitHub Stars

56.7k

Forks

8.5k

Language

Python

License

CC-BY-4.0

Created

2023-08-18

Created by

Microsoft Research

github.com/microsoft/autogen

Mastra

GitHub Stars

22.7k

Forks

1.8k

Language

TypeScript

License

MIT

Created

2024-08-06

Created by

Mastra AI

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.

ConceptAutoGenMastra
Agent`ConversableAgent` with `system_message`, `llm_config``new Agent({ model, instructions, tools })` with automatic tool dispatch
Tools`register_for_llm()` and `register_for_execution()``createTool({ name, schema, execute })` with Zod validation
ConversationTwo-agent chat with `initiate_chat()`, message history
Multi-Agent`GroupChat` with `GroupChatManager`, speaker selection
Nested Chats`register_nested_chats()` for sub-task handling
Termination`is_termination_msg` callback, `max_consecutive_auto_reply`
Workflows`Workflow` class with `.step()`, `.then()`, `.branch()` for orchestration
RAGBuilt-in document syncing, chunking, embedding, and vector search
MemoryShort-term thread memory + long-term vector memory across sessions
StudioMastra Studio: local GUI for testing agents, viewing traces, debugging

AutoGen vs Mastra, head to head

AutoGen AutoGen by Microsoft models agents as ConversableAgents that chat with each other.

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

Both wrap the same underlying agent pattern — an LLM call, a tool dispatch, a loop — in different abstractions. The choice between them is mostly about which mental model and ecosystem fits the team you have, not which one is technically more capable.

Pick AutoGen if

Pick AutoGen if autoGen excels at complex multi-agent workflows where agents need to debate or collaborate. For single-agent use cases or simple tool-calling agents, the plain Python version is significantly simpler. AutoGen is the right fit when the tradeoffs in its intro line up with how your team actually wants to work day-to-day; Mastra would force you to translate.

Full AutoGencomparison →

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. Mastra is the right fit when the tradeoffs in its intro line up with how your team actually wants to work day-to-day; AutoGen would force you to translate.

Full Mastracomparison →

What both add

Both AutoGen and Mastra pull in a class hierarchy and a dependency tree to wrap what is, at the core, an HTTP POST in a while loop. If your use case is straightforward — one provider, a handful of tools, a single agent — the framework cost may exceed the framework benefit. The lesson below shows the same pattern in ~60 lines without either dependency.

Or build your own in 60 lines

Both AutoGen 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 →