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  • Overeasy

    Overeasy is an open-source AI agent framework enabling autonomous LLM-powered assistants with memory, tools integration, and multi-agent orchestration.
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    What is Overeasy?
    Overeasy is a Python-based open-source framework for orchestrating LLM-driven AI agents across various domains. It provides a modular architecture to define agents, configure memory stores, and integrate external tools such as APIs, knowledge bases, and databases. Developers can connect to OpenAI, Azure, or self-hosted LLM endpoints and design dynamic workflows involving single or multiple agents. Overeasy’s orchestration engine handles task delegation, decision making, and fallback strategies, enabling robust digital workers for research, customer support, data analysis, scheduling, and more. Comprehensive documentation and example projects accelerate deployment on Linux, macOS, and Windows.
    Overeasy Core Features
    • Agent orchestration engine
    • Stateful memory management
    • Multi-agent workflows
    • Tool and API integration
    • Dynamic planning
    Overeasy Pro & Cons

    The Cons

    No publicly available pricing information
    Lacks dedicated mobile or browser extension apps
    May require technical expertise to set up and use effectively

    The Pros

    Modular design allowing construction of complex visual workflows through simple sequential steps
    Supports multiple agent types for diverse computer vision tasks
    Open source with an active GitHub repository
    Detailed documentation available for users
    Facilitates easy customization and extension
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