Showing 14 open source projects for "structured storage"

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  • 1
    GBrain

    GBrain

    Garry's Opinionated OpenClaw/Hermes Agent Brain

    GBrain is an open-source AI memory system designed to give autonomous agents persistent, structured, and scalable long-term memory across interactions and workflows. It operates by transforming large collections of markdown documents, personal notes, and external data into a searchable knowledge base backed by PostgreSQL and vector embeddings, enabling both semantic and keyword-based retrieval. The system is tightly integrated with agent frameworks such as OpenClaw and Hermes, allowing AI...
    Downloads: 6 This Week
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  • 2
    OpenMemory

    OpenMemory

    Local long-term memory engine for AI apps with persistent storage

    OpenMemory is a self-hosted memory engine designed to provide long-term, persistent storage for AI and LLM-powered applications. It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval.
    Downloads: 0 This Week
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  • 3
    Eidos

    Eidos

    An extensible framework for Personal Data Management

    Eidos is an extensible personal data management platform designed to help users organize and interact with their information using a local-first architecture. The system transforms SQLite into a flexible personal database that can store structured and unstructured information such as notes, documents, datasets, and knowledge resources. Its interface is inspired by tools like Notion, allowing users to create documents, databases, and custom views to organize personal information. Unlike cloud-based knowledge tools, Eidos runs entirely on the user’s machine, ensuring privacy and high performance through local storage.
    Downloads: 3 This Week
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  • 4
    Claude Context

    Claude Context

    Code search MCP for Claude Code

    ...It focuses on improving response quality by ensuring that models have access to the most relevant data when generating outputs. The system integrates with vector databases and retrieval systems, enabling efficient storage and retrieval of contextual information. It supports workflows such as retrieval-augmented generation, where external knowledge is dynamically incorporated into model responses. The project emphasizes scalability, allowing it to handle large datasets and complex queries efficiently. It also provides tools for organizing and managing context, making it easier to maintain structured knowledge bases. ...
    Downloads: 0 This Week
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  • 5
    AI-Media2Doc

    AI-Media2Doc

    AI tool converting video/audio into structured documents instantly

    AI-Media2Doc is a web-based application that uses large language models to convert video and audio content into structured, readable documents in a single workflow. It is designed to transform multimedia inputs into formats such as knowledge notes, summaries, mind maps, and social-style articles, making content easier to review and reuse. AI-Media2Doc emphasizes privacy by processing media locally in the browser using WebAssembly-based ffmpeg, ensuring that original video files are not...
    Downloads: 0 This Week
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  • 6
    WitNote

    WitNote

    WitNote is a local-first AI writing companion for macOS and Windows

    ...For users who prefer to stay in command-line or keyboard-driven environments, WitNote offers efficient shortcuts that keep interactions nimble and fluid without forcing users into menus. Optional plug-ins or extensions expand its capabilities to include calendar integrations, reminders, or integration with external storage backends like Git repositories.
    Downloads: 2 This Week
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  • 7
    Acontext

    Acontext

    Context data platform for building observable, self-learning AI agents

    ...The platform observes agent tasks and user feedback in real time, offering robust observability into workflows and helping teams understand how agents perform over time. Acontext also supports agent self-learning by distilling structured skills and experiences from previously completed tasks, which can later be reused or searched to improve future performance. It includes tools to interact with session data, background agents that monitor progress, and a dashboard that visualizes success rates, artifacts, and learned skills. By combining persistent storage, observability, and learning capabilities, Acontext aims to make AI agents more scalable, reliable, and capable.
    Downloads: 0 This Week
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  • 8
    Hollama

    Hollama

    A minimal LLM chat app that runs entirely in your browser

    Hollama is a lightweight open-source chat application designed to run entirely within the browser while interacting with large language model servers. The project provides a minimal but powerful user interface for communicating with local or remote LLMs, including servers powered by Ollama or OpenAI-compatible APIs. Because the application runs as a static web interface, it does not require complex backend infrastructure and can be easily deployed or self-hosted. Hollama supports both...
    Downloads: 5 This Week
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  • 9
    Chrome DevTools MCP

    Chrome DevTools MCP

    Chrome DevTools for coding agents

    chrome-devtools-mcp is an MCP server that connects AI agents to the Chrome DevTools Protocol so they can inspect pages, record traces, read console/network data, and modify the live browser state under user control. It makes a running Chrome instance visible to MCP clients, enabling agents to debug websites end-to-end—launching Chrome, navigating, profiling, and collecting artifacts in a structured way. The repository spells out environment requirements and cautions that exposing a live...
    Downloads: 5 This Week
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  • 10
    Basic Memory

    Basic Memory

    Persistent AI memory using local Markdown knowledge graphs

    Basic Memory is an open source knowledge system that turns AI conversations into persistent, structured knowledge you control. Instead of losing context after each chat, it stores information as simple Markdown files on your device, allowing both you and AI to read and write to the same knowledge base. It uses the Model Context Protocol (MCP) so compatible AI tools can access, update, and build on your notes across sessions. Basic Memory creates a semantic knowledge graph by linking related...
    Downloads: 3 This Week
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  • 11
    PageLM

    PageLM

    PageLM is a community driven version of NotebookLM

    ...It supports uploaded documents including PDF, DOCX, Markdown, and TXT, allowing users to ground questions and generated materials in source content. On the technical side, it supports multiple model providers, multiple embedding back ends, WebSocket streaming for real-time generation, persistent content storage, and structured markdown outputs.
    Downloads: 0 This Week
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  • 12
    Refly

    Refly

    The first open-source agent skills builder

    Refly is an AI-native workflow platform that democratizes automated workflow and skills creation for both technical and non-technical users by offering a visual, natural-language-driven interface. Instead of requiring code, Refly lets creators define tasks and business logic through simple “vibes,” which are compiled into structured, reusable agent skills that can be executed on engines like Claude Code, Cursor, or other supported runtimes. With a focus on making automation accessible, it...
    Downloads: 0 This Week
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  • 13
    birdclaw

    birdclaw

    Stores all your tweets nicely claw-able for agents

    ...The tool is intended for researchers, creators, developers, and heavy social media users who want more control over their Twitter history and workflows. By emphasizing local storage and flexible retrieval, the project transforms social media archives into a searchable personal knowledge system.
    Downloads: 0 This Week
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  • 14
    Memori

    Memori

    SQL-native memory layer enabling persistent context for AI agents

    Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard...
    Downloads: 0 This Week
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