Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
Knowledge graph-based persistent memory system
An MCP server that provides structured access to Microsoft’s official documentation. Retrieves accurate, authoritative, and context-aware technical content for code generation, question answering, and workflow grounding.
Retrieves context from your Pinecone Assistant knowledge base.
Personal prompt library with MCP integration for AI clients.
Implement semantic memory layer on top of the Qdrant vector search engine
Retrieve context from your Ragie (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
Create spaced repetition flashcards in Rember to remember anything you learn in your chats
Interact with your library on Apple Books, manage your book collection, summarize highlights, notes, and much more.
Local-first knowledge management system that builds a semantic graph from Markdown files, enabling persistent memory across conversations with LLMs.
Persistent memory system enabling Claude Desktop conversations to resume with full context across sessions. Maintains conversation history, project states, and user preferences for seamless multi-session workflows.
GraphRAG memory server with customizable ingestion, data processing and search
Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retr
A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.
Enable documentation access for the AI agent, supporting llms.txt and other remote or local files.
A lightweight MCP server that allows LLMs to read and interact with your personal PDF and EPUB ebooks. Ideal for building AI reading assistants or chat-based ebook interfaces.
Persistent memory across Claude conversations with multi-project support, automatic importance scoring, and tag-based organization. Production-ready with 400+ tests.
Turn scattered ChatGPT/Claude/Cursor conversations into persistent, searchable knowledge.
Save and query your agent memory in distributed way by Membase.