GPTMe is an open-source framework that empowers developers to create intelligent AI agents with built-in memory management, modular tool integration, and RESTful API endpoints. It supports multi-model setups, customizable workflows, and hooks for real-time data access, enabling rapid prototyping and scalable deployment of conversational assistants and automation bots.
GPTMe is an open-source framework that empowers developers to create intelligent AI agents with built-in memory management, modular tool integration, and RESTful API endpoints. It supports multi-model setups, customizable workflows, and hooks for real-time data access, enabling rapid prototyping and scalable deployment of conversational assistants and automation bots.
GPTMe provides a robust platform for orchestrating AI agents that retain conversational context, integrate external tools, and expose a consistent API. Developers install a lightweight Python package, define agents with plug-and-play memory backends, register custom tools (e.g., web search, database queries, file operations), and spin up a local or cloud service. GPTMe handles session tracking, multi-step reasoning, prompt templating, and model switching, delivering production-ready assistants for customer service, productivity, data analysis, and more.
Who will use GPTMe?
AI developers and engineers
Data scientists and researchers
Startups building conversational products
DevOps teams automating workflows
Technical startups prototyping AI assistants
How to use the GPTMe?
Step1: Install via pip: pip install gptme
Step2: Import GPTMe and initialize an AgentManager
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