"WEMO" matching MCP servers:

This is an MCP server that enables agents to record, search, and retrieve memos using LowDB as a lightweight local database.

Hosts three live read-only MCP servers enabling agents to retrieve and cross-reference curated fictional and real archives with provenance and source URLs.

Public shared memory MCP server for OKF markdown notes and links with optional human summaries, featuring a web UI and MCP read/write access.

Serves as a secure HTTP MCP gateway to a private self-hosted Mem0 API, enabling memory searches and fact recording while protecting internal credentials and services from public exposure.

Provides an MCP server that gives LLM agents an evolutionary memory: entries pay upkeep and survive only if they earn their keep through measured outcomes, with tools for querying, settling, and managing memory.

Enables AI agents to build real-time knowledge graphs using Zep's Graphiti memory, persisting context in Neo4j.

Enterprise support ticket system using FastMCP server with Redis for persistent state and multiple clients.

Enables persisting chat-thread notes to SQLite with upsert semantics, allowing creation, update, retrieval, and listing of per-user threads via MCP tools.

An MCP server that connects Claude.ai to a Notion-based marketing knowledge base, enabling search and retrieval across specialized domains like enterprise platforms and competitive positioning. It provides tools for RAG-style Q\&A and content browsing to assist with drafting RFPs and value propositions.

An MCP server that enables users to transform AI conversations into a structured, searchable knowledge base by saving ideas, code snippets, bookmarks, and reminders. It supports persistent storage through Supabase or PostgreSQL and includes webhook integrations for automating workflows with external tools.

A public demo of a personal-context MCP server that exposes six typed contexts (project, idea, preference, writing_style, skill, general) and twelve tools for managing personal data, with an hourly data reset.

Local-only MCP server for saving and restoring conversation context across AI agent sessions using JSON files on disk.

Provides persistent, client-side-encrypted memory for AI coding assistants via SAIHM, enabling tools to remember, recall, and forget with provable erasure.

Enables querying and comparing the first 25 Pokémon from the Kanto region, providing base stats, evolution chains, and type filtering via natural language.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

Local-first semantic memory with MLX embeddings, hybrid search, knowledge graph, and MCP server. Durable semantic knowledge with recall hooks and CLI.

@memofs/mcp-server lets AI coding agents (Claude Code, Claude Desktop, Codex, Cursor, opencode, Gemini CLI, GitHub Copilot, Zed, and any other MCP client) securely read and write MemoFS memory through standard Model Context Protocol tools.

A remote MCP server that serves versioned Enterprise & Architecture guidelines (security, architecture, compliance) to LLM clients via Streamable HTTP with Bearer-token authentication.

A filesystem-backed MCP server with REST API for AI tool integration and project workflow tracking. Zero database required.

Provides non-custodial, post-quantum encrypted memory for AI agents, enabling portable memory across models with provable erasure.