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Awesome GitHub RepositoriesCustom Communication Algorithms

Use of arbitrary callables as social algorithms to define agent interaction sequences.

Distinct from Agentic Interaction Patterns: Distinct from Agentic Interaction Patterns: allows the implementation of arbitrary logic (callables) to dictate communication flow.

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Awesome Custom Communication Algorithms GitHub Repositories

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  • kyegomez/swarmsالصورة الرمزية لـ kyegomez

    kyegomez/swarms

    6,888عرض على GitHub↗

    Swarms is a multi-agent orchestration framework and autonomous agent toolkit designed to coordinate large language model agents. It serves as a workflow engine for managing agent relationships, providing the infrastructure to build autonomous agents with integrated memory, tool-calling capabilities, and reasoning loops. The framework is distinguished by its multi-agent consensus systems, which utilize voting, adversarial debates, and judge agents to synthesize high-quality responses. It supports a variety of collaboration patterns, including director-worker hierarchies, expert synthesis, and

    Enables the use of arbitrary callables as social algorithms to dictate how agents communicate and sequence interactions.

    Python
    عرض على GitHub↗6,888
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  2. Artificial Intelligence & ML
  3. Language Model Orchestration
  4. Language Model Interaction Patterns
  5. Deterministic Interaction Patterns
  6. Agentic Interaction Patterns
  7. Custom Communication Algorithms