Marvin: Build AI Applications with Python

Marvin is a powerful Python framework designed to simplify the development of AI applications using large language models (LLMs). It offers a clean, intuitive interface that streamlines common tasks such as state management, conversation history, and agent coordination. Built for developers, Marvin supports a wide range of functions including run, cast, classify, extract, generate, say, and summarize, all while enabling structured data output through Pydantic models. With support for specialized agents, persistent memory, and seamless integration with existing Python code, Marvin empowers developers to build intelligent, scalable AI applications efficiently.

Key Features:

• LLM Integration: Clean interface for working with large language models.
• State Management: Handles conversation history and agent coordination.
• Agent Capabilities: Supports specialized agents with specific skills and personalities.
• Structured Output: Enables structured data output using Pydantic models.
• Persistent Memory: Maintains agent memory across conversations.
• Extensibility: Integrates easily with existing Python code and systems.
• Functionality: Includes run, cast, classify, extract, generate, say, and summarize functions.
• MCP Server Integration: Supports integrations with MCP Servers.
• Concepts & Patterns: Offers tools like Tasks, Agents, Threads, Tools, and Context with documented patterns.
• Smart Defaults: Simple interface with intelligent defaults for rapid development.

Pricing: Marvin is available as a free, open-source framework with no paid tiers, making it accessible to all developers.

Conclusion: Marvin is a versatile and developer-friendly framework that empowers Python developers to build sophisticated AI applications with ease, combining powerful features with a clean, intuitive design.