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유연한 설계

  • A modular Python framework to build autonomous AI agents with LLM-driven planning, memory management, and tool integration.
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    What is AI-Agents?
    AI-Agents provides a flexible agent architecture that orchestrates language model planners, persistent memory modules, and pluggable toolkits. Developers define tools for HTTP requests, file operations, and custom logic, then configure an LLM planner to decide which tool to invoke. Memory stores context and conversation history. The framework handles asynchronous execution, error recovery, and logging, enabling rapid prototyping of intelligent assistants, data analyzers, or automation bots without reinventing core orchestration logic.
    AI-Agents Core Features
    • Modular planner‐executor architecture
    • LLM-driven decision planning
    • Persistent conversation memory
    • Pluggable custom tool integration
    • Asynchronous task orchestration
    • Error handling and retry logic
    • Detailed execution logging
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