Manage and explore atomic notes using the Zettelkasten methodology through an MCP-compatible interface. Create, link, search, and synthesize notes with AI assistance to build a rich, interconnected kn
<p align="center"> <a href="https://github.com/trimstray/the-book-of-secret-knowledge"> <img src="https://github.com/trimstray/the-book-of-secret-knowledge/blob/master/static/img/the-book-of-secret-kn
Two-tier memory with hot cache (instant injection) and cold semantic search. Auto-promotes frequently-used patterns, extracts knowledge from Claude outputs, and organizes via knowledge graph relations
Self-hosted knowledge store and memory layer for AI agents with knowledge graph, wiki-links, full-text search (FTS5), and agent memory with namespaces and TTL.
Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart
Persistent codebase knowledge layer for AI coding agents. Pre-digests codebases into structured knowledge (symbols, dependency graphs, co-change patterns, architectural decisions) via tree-sitter nati
Connect AI assistants to your GitHub-hosted Obsidian vault to seamlessly access, search, and analyze your knowledge base. Enable intelligent retrieval of notes, track the evolution of your ideas, and
Persistent memory and knowledge graph for AI agents
Query and retrieve information about various adversarial tactics and techniques used in cyber attacks. Access a comprehensive knowledge base to enhance your understanding of security risks and adversa
Persistent memory for AI agents. Store context, recall semantically, never lose important information. ✨ Features: - Hybrid search (semantic + keyword) - Entity extraction & knowledge graph - Multi
Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
Model Context Protocol with Neo4j (Run queries, Knowledge Graph Memory, Manaage Neo4j Aura Instances)
Interact with Obsidian vaults for knowledge management. Create, read, update, and search notes. Works with local Obsidian vaults using filesystem access.
MCP server for RAGStack serverless knowledge bases. Search, chat with AI-generated answers, upload documents/media, scrape websites, and analyze metadata through an AWS-powered RAG pipeline (Lambda, B
Self-improving tool discovery for AI agents. Searches registries, installs MCP servers as subprocesses, and persists tool knowledge across sessions — no restarts needed.
Organize and search your Obsidian vault. Browse files, read and edit notes, and run simple or complex searches across your knowledge base. Track recent changes and work with periodic notes to stay on
Search and retrieve Grokipedia articles with filters, full content, and citations. Explore related pages and extract sections to quickly gather relevant knowledge. Run guided workflows to research top
AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational costs.
Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cl
Some useful tools for developer, almost everything an engineer need: confluence, Jira, Youtube, run script, knowledge base RAG, fetch URL, Manage youtube channel, emails, calendar, gitlab
AI-native collaborative spreadsheet MCP server for session management, knowledge base, task tracking, and sheet operations. Integrates with Claude Code, Cursor, and Cline.