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  • OpenAI Agents MCP Server

    A server framework enabling orchestration, memory management, extensible RESTful APIs, and multi-agent planning for OpenAI-powered autonomous agents.
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    What is OpenAI Agents MCP Server?
    OpenAI Agents MCP Server provides a robust foundation for deploying and managing autonomous agents powered by OpenAI models. It exposes a flexible RESTful API to create, configure, and control agents, enabling developers to orchestrate multi-step tasks, coordinate interactions between agents, and maintain persistent memory across sessions. The framework supports plugin-like tool integrations, advanced conversation logging, and customizable planning strategies. By abstracting infrastructure concerns, MCP Server streamlines the development pipeline, facilitating rapid prototyping and scalable deployment of conversational assistants, workflow automations, and AI-driven digital workers in production environments.
    OpenAI Agents MCP Server Core Features
    • RESTful API for agent management
    • Multi-agent orchestration and coordination
    • Persistent memory recall across sessions
    • Configurable task planning strategies
    • Plugin integration for custom tools
    • Built-in logging and monitoring

  • AgentScope

    AgentScope is an open-source Python framework enabling AI agents with planning, memory management, and tool integration.
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    What is AgentScope?
    AgentScope is a developer-focused framework designed to simplify the creation of intelligent agents by providing modular components for dynamic planning, contextual memory storage, and tool/API integration. It supports multiple LLM backends (OpenAI, Anthropic, Hugging Face) and offers customizable pipelines for task execution, answer synthesis, and data retrieval. AgentScope’s architecture enables rapid prototyping of conversational bots, workflow automation agents, and research assistants, all while maintaining extensibility and scalability.
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