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Embedding Configurations · Awesome GitHub Repositories

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Awesome GitHub RepositoriesEmbedding Configurations

Settings and adapters for defining how semantic representations are generated for memory systems.

Distinguishing note: Focuses on the configuration of embedding models used for semantic search, distinct from the memory storage layer itself.

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  • crewAIInc/crewAI

    crewAIInc/crewAI

    44,318View on GitHub↗

    CrewAI is a multi-agent orchestration framework designed for building autonomous systems that execute complex, multi-step workflows. It provides a development platform where specialized agents are defined with specific roles, goals, and tool sets to perform tasks collaboratively. By leveraging a declarative workflow engine, the system manages task dependencies, state transitions, and execution logic, allowing for the creation of structured, stateful sequences of operations. The framework distinguishes itself through its hierarchical management capabilities, which utilize manager agents to coo

    CrewAI passes custom settings or functions to the memory system to enable specialized semantic search capabilities.

    Pythonagentsaiai-agents
    44,318View on GitHub↗