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3 dépôts

Awesome GitHub RepositoriesInput Processing Logic

Logic for monitoring and handling incoming text messages to trigger agent responses.

Distinct from Text Input Managers: Focuses on the processing logic for chat-based input, distinct from UI text editing management.

Explore 3 awesome GitHub repositories matching user interface & experience · Input Processing Logic. Refine with filters or upvote what's useful.

Awesome Input Processing Logic GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • letta-ai/lettaAvatar de letta-ai

    letta-ai/letta

    21,168Voir sur GitHub↗

    Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

    Categorizes and processes incoming user data to manage interaction flow.

    Pythonaiai-agentsllm
    Voir sur GitHub↗21,168
  • livekit/livekitAvatar de livekit

    livekit/livekit

    19,358Voir sur GitHub↗

    LiveKit is a comprehensive framework for building and orchestrating real-time, multimodal AI agents that interact with users through voice, video, and text. It provides a centralized, event-driven architecture to manage the entire lifecycle of automated participants, from initialization and session state management to graceful shutdown. By utilizing a selective forwarding unit, the platform efficiently routes media streams between participants and agents, ensuring low-latency communication and secure, token-based authentication for all connections. The platform distinguishes itself through it

    Monitors incoming chat messages to trigger agent responses and allows for custom handling logic.

    Gogolangmedia-serversfu
    Voir sur GitHub↗19,358
  • livekit/agentsAvatar de livekit

    livekit/agents

    9,379Voir sur GitHub↗

    This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu

    Processes incoming text messages from room participants to trigger autonomous agent responses.

    Pythonagentsaiopenai
    Voir sur GitHub↗9,379
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