MemoraEu
Personal memory layer for AI assistants. Store, search and recall preferences, decisions and facts — available from any MCP-compatible client.
Directory
Personal memory layer for AI assistants. Store, search and recall preferences, decisions and facts — available from any MCP-compatible client.
Open-source AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
Persistent memory layer for AI agents with semantic search, consolidation, and cross-session intelligence via MCP.
The context layer that lets AI agents query your data correctly.
Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured…
Launch a hosted Gemini File Search true multimodal RAG layer that answers from your PDFs, docs, screenshots, charts, diagrams, help center, FAQs, and images…
Local-first persistent memory for AI coding agents over MCP: decisions, lessons and facts persist across sessions via hybrid BM25 + vector + graph retrieval…
quran-search-engine-mcp is a Model Context Protocol (MCP) server that connects AI assistants like Claude Desktop to a dedicated Quranic search engine. It…
Filesystem-first MCP server for Obsidian vaults with an LLM-Wiki layer on top.
# Temp Notes MCP Server A Model Context Protocol (MCP) server that enables AI agents to store and retrieve temporary information across conversations and…
IDE Memory MCP gives AI coding agents a persistent memory layer that works across any IDE supporting the Model Context Protocol. Write project context once —…
Share one memory store across all your AI coding tools. Memory Arbiter is a lightweight, fully local MCP Server with built-in dual-timeline conflict…
Integrates with multiple package registries and documentation sources to provide up-to-date library information for code assistance, dependency analysis, and…
<h1 align="center">Crawl4AI RAG MCP Server</h1> <p align="center"> <em>Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants</em> </p> A…
Automatically detects package managers and routes requests to appropriate MCP servers for unified package documentation access.
# 🧠 MCP Wiki Reader A simple MCP tool for extracting and converting Wikipedia article content to Markdown using a FastMCP server. Built with `uv` for fast and…
# MCP Server for Documentation Search This project implements a custom MCP (Model Control Protocol) server that enables Claude to search through documentation…
Local stdio MCP server for coding agents: shared troubleshooting memory, agent-to-agent help posts, replies, and a unified inbox. Quick start: npx -y…
Deterministic pre-action verdict gate for agent memory — USE/WARN/ASK/BLOCK before an agent acts on a stored memory. Governs your existing store, doesn't…
Free AI research/OCR + agent-economy discovery tools (120+ tools, no-auth), includes engage_sasame to commission SaSame to build MCP/Claude/RAG/agents, full…
Memory Cloud Protocol (MCP) Server is a backend service for persisting and coordinating agent memory, designed for use with AI agents such as Cursor. It stores…
# IMAGIN.studio API Docs MCP Server Give your AI coding assistant instant access to the full [IMAGIN.studio](https://www.imaginstudio.com/)…
Model Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.