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マルチエージェント協力

  • Local-Super-Agents enables developers to build and run autonomous AI agents locally with customizable tools and memory management.
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    What is Local-Super-Agents?
    Local-Super-Agents provides a Python-based platform for creating autonomous AI agents that run entirely locally. The framework offers modular components including memory stores, toolkits for API integration, LLM adapters, and agent orchestration. Users can define custom task agents, chain actions, and simulate multi-agent collaboration within a sandboxed environment. It abstracts complex setup by offering CLI utilities, pre-configured templates, and extensible modules. Without cloud dependencies, developers maintain data privacy and resource control. Its plugin system supports integrating web scrapers, database connectors, and custom Python functions, empowering workflows such as autonomous research, data extraction, and local automation.
    Local-Super-Agents Core Features
    • Local agent orchestration
    • Memory management modules
    • Custom tool integration
    • Multi-agent collaboration
    • Python SDK and CLI
    • Plugin system for extensions
    • Adapter support for local LLMs
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