PrefectHQ/marvin

Health v2 · maintenance only

Adoption not part of the score

6198 stars · 415 forks observed · 2026-09-25

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Marvin is a Python framework for building AI applications with LLMs, offering structured-output utilities (extract, cast, classify, generate) and agentic workflows built from tasks, agents, and threads. It wraps Pydantic AI models and defaults to OpenAI while supporting other providers.

Use cases

• extract structured data from unstructured text with llm
• classify text into predefined categories using ai
• cast free text into typed python objects
• build multi-agent llm workflows in python
• generate structured objects from a description
• run llm tasks with typed results

When to choose

• you want typed, structured outputs from LLM calls in Python
• you need lightweight agent orchestration with tasks and threads
• you prefer an intuitive API over building raw LLM plumbing

When to avoid

• you need a full production agent platform with UI and observability
• you don't want to depend on external LLM API providers
• you need fine-grained control over prompts and model internals

Facets

library · maturity active

agent-framework llm-inference nlp prompt-engineering chatbot artificial-intelligence large-language-models developer-tools python cross-platform structured-outputs pydantic-ai ambient-ai llm-workflows agents tasks ai-agents natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PrefectHQ/marvin")