
A Python framework for typed LLM results, tool-using agents and coordinated tasks.
Marvin adds structured extraction, classification, generation and agent workflows to Python applications. Define a task, expected result type and available agents or tools; Marvin manages the conversation and coordinates the run. Version 3 incorporated the next-generation ControlFlow engine.
Developers configure the model provider, instructions, tools and memory, and decide where to request human input. Marvin supports models through Pydantic AI. It is the PrefectHQ developer framework, separate from the similarly named user-research product with meeting and notes integrations. The screenshot illustrates an earlier Marvin release; current setup and APIs follow the version 3 documentation.
Product overview
A Python framework for typed LLM results, tool-using agents and coordinated tasks.
Information as of October 14, 2026
71/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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