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Decision brief
Python-based ambient AI for agent and chatbot development with LLM interaction, Apache-2.0 licence
Good fit when
- You need to develop agents or chatbots that integrate ambient intelligence
- Your project requires interacting directly with large language models (LLMs)
Avoid when
- You are looking for a framework without direct LLM integration capabilities
- Your project does not involve agent or chatbot creation
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (15d since push)
- As of 1w
- Provenance
- Not a fork · Organization account
- As of 1w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install marvinSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Python-based ambient AI library with capabilities for creating intelligent agents and chatbots that interact with LLMs.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 16, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 16, 2026
Categories
Tags
README
Installation
Marvin is available on PyPI:
uv add marvin
Configure your LLM provider (Marvin uses OpenAI by default but natively supports all Pydantic AI models):
export OPENAI_API_KEY=your-api-key
Let Marvin plan a complex workflow
tasks = marvin.plan("Create a blog post about AI trends") marvin.run_tasks(tasks)
For agents
This page has a .md twin and JSON over the API.