Welcome to pymeepo’s documentation!

A universal Python SDK for integrating and building AI agents across different frameworks (LangChain, AutoGen, etc.) and providers.

Overview

pymeepo is a Python SDK that provides a unified interface for working with AI agents from various frameworks. It enables developers to:

• Framework Integration: Seamlessly integrate agents from LangChain, AutoGen, and other frameworks

• Provider Abstraction: Work with multiple LLM providers through a consistent interface

• Framework Interoperability: Enable communication between agents built with different frameworks

• Developer Experience: Intuitive APIs with strong type hints and documentation

Key Features

Universal Framework Support

• Native support for popular agent frameworks (LangChain, AutoGen)

• Framework-agnostic base interfaces

• Adapter system for easy framework integration

• Common protocol definitions

Provider Integration

• Direct provider connections (OpenAI, Anthropic)

• LiteLLM integration for broad provider support

• Provider-agnostic message formats

• Cost optimization utilities

Framework Interoperability

• Cross-framework message passing

• Unified memory interfaces

• Standardized tool protocols

• Common type system

Development Tools

• Framework adapters and utilities

• Testing and mocking tools

• Debugging helpers

• Performance monitoring

Contents:

• Installation
  • Requirements
  • Installing from PyPI
  • Installing from Source
• Core Concepts
  • Agents
  • Provider Interface
  • Agent Teams
  • Memory Systems
  • Tool System
  • Async Support
• Getting Started
  • Installation
  • Next Steps

Indices and tables

• Index

• Module Index

• Search Page