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6 个仓库

Awesome GitHub RepositoriesExternal Memory Integrations

Systems for connecting agentic workflows to persistent external memory sources.

Distinguishing note: Focuses on memory integration for agents rather than general database connectivity.

Explore 6 awesome GitHub repositories matching artificial intelligence & ml · External Memory Integrations. Refine with filters or upvote what's useful.

Awesome External Memory Integrations GitHub Repositories

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  • microsoft/ai-agents-for-beginnersmicrosoft 的头像

    microsoft/ai-agents-for-beginners

    67,369在 GitHub 上查看↗

    This project is a structured educational resource and technical guide for designing and implementing autonomous systems using large language models. It provides a comprehensive curriculum and code samples focused on agentic design patterns, autonomous development, and the creation of systems capable of planning and executing multi-step tasks. The resource details the implementation of agentic retrieval-augmented generation, where models autonomously plan and refine data searches. It covers a wide array of orchestrators and design patterns, including metacognitive reflection for self-correctin

    Ships connectors that link agentic workflows to persistent external memory sources for dynamic context management.

    Jupyter Notebookagentic-aiagentic-frameworkagentic-rag
    在 GitHub 上查看↗67,369
  • wshobson/agentswshobson 的头像

    wshobson/agents

    36,830在 GitHub 上查看↗

    This project is an automated trading and agentic workflow platform designed to orchestrate complex financial tasks through state-based graphs. It provides a comprehensive framework for building, deploying, and managing autonomous agents that execute multi-step analytical processes, monitor real-time market conditions, and perform high-speed trade execution. The platform distinguishes itself through a robust agentic plugin ecosystem that integrates directly with popular AI-powered development environments and command-line interfaces. It features a specialized financial analysis engine capable

    Maintains direct upstream integrations for external memory sources across multiple supported agentic harnesses.

    Pythonagentsanthropicanthropic-claude
    在 GitHub 上查看↗36,830
  • vercel/aivercel 的头像

    vercel/ai

    21,885在 GitHub 上查看↗

    This project is a comprehensive framework for building AI-powered applications, providing a unified toolkit for orchestrating language models, autonomous agents, and interactive user interfaces. It serves as a central library for managing the entire lifecycle of AI interactions, from initial prompt generation and model provider abstraction to complex, multi-step reasoning and tool execution. The framework distinguishes itself through its deep integration with frontend development, specifically by enabling generative user interfaces that render dynamic components directly from model outputs. I

    Connects agentic workflows to external memory platforms for automated storage and semantic search.

    TypeScriptanthropicartificial-intelligencegemini
    在 GitHub 上查看↗21,885
  • 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

    Connects agents to external databases and services for persistent storage of history and facts.

    Pythonaiai-agentsllm
    在 GitHub 上查看↗21,168
  • 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

    Persists AI agent conversation history and execution traces within existing database infrastructure using standard integration patterns.

    Pythonagentaiaiagent
    在 GitHub 上查看↗15,358
  • open-llm-vtuber/open-llm-vtuberOpen-LLM-VTuber 的头像

    Open-LLM-VTuber/Open-LLM-VTuber

    5,946在 GitHub 上查看↗

    Retains conversation history and long-term context by integrating with external memory systems like Letta.

    Pythonaiai-companionai-vtuber
    在 GitHub 上查看↗5,946
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