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Awesome GitHub RepositoriesPersistent Agent Integrators

Connects agents to stateful models with long-term memory.

Distinct from Agent State Persistence: Distinct from general state persistence: focuses on the integration of stateful LLMs for persistent agents.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Persistent Agent Integrators. Refine with filters or upvote what's useful.

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Awesome Persistent Agent Integrators GitHub Repositories

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  • letta-ai/lettaletta-ai 的头像

    letta-ai/letta

    21,168在 GitHub 上查看↗

    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

    Integrates stateful models with long-term memory to allow persistent agents to be invoked as specialized subagents.

    Pythonaiai-agentsllm
    在 GitHub 上查看↗21,168
  • livekit/livekitlivekit 的头像

    livekit/livekit

    19,358在 GitHub 上查看↗

    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

    Connects voice agents to stateful language models that maintain long-term memory and autonomous task execution.

    Gogolangmedia-serversfu
    在 GitHub 上查看↗19,358
  • memorilabs/memoriMemoriLabs 的头像

    MemoriLabs/Memori

    15,358在 GitHub 上查看↗

    Memori is an AI agent memory middleware platform designed to provide persistent, context-aware recall for language models. It functions as a non-intrusive layer that intercepts outbound model requests to automatically capture interaction history and execution traces, ensuring that agents maintain continuity across sessions without requiring modifications to existing application logic. The platform distinguishes itself through a dual-model storage architecture that maintains information as both structured relational primitives for precise fact retrieval and rolling narrative summaries for situ

    Connects agents to stateful models with long-term memory.

    Pythonagentaiaiagent
    在 GitHub 上查看↗15,358