<h2 align="center">Self-hosted MCP memory server for personal use and teams</h4>
Self-hosted MCP memory server for personal use and teams
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| store_memory | Save a memory (idempotent by content); raises on near-duplicates; optional expires_at |
| retrieve_memory | Hybrid semantic + full-text search; returns snippets by default |
| recall_memory | Search by natural-language time expression; returns snippets by default |
| list_memories | Paginated list with type/tag filters |
| search_by_tag | AND/OR tag search |
| get_memory | Fetch a single memory by name with full content (expired included) |
| update_memory | Update content, type, tags, metadata, or expiry by name (and optionally rename) |
| delete_memory | Delete by name |
| move_memory | Move a memory to a different workspace |
| list_workspaces | List workspaces you are a member of (including personal) |
| dream_report | Read-only consolidation candidates: similar memory pairs, expired and expiring-soon memories |
| Variable | Description | Required |
|---|---|---|
| MEMLORD_DB_URL | Endpoint or connection string the server talks to. | Yes |
| MEMLORD_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| MEMLORD_OAUTH_JWT_SECRET | Credential the server authenticates with. | Yes |
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Hosted at [eigenlayer.mcp.junct.dev/mcp](https://eigenlayer.mcp.junct.dev/mcp). Free to use. No auth. No API key required.
Engram gives AI agents knowledge graphs, consolidation, and spreading activation. Not storage. Understanding.
MCP server enabling persistent memory for AI models through a local knowledge graph
A Model Context Protocol (MCP) server that enables natural language searching of arXiv academic papers. Built with Node.js and TypeScript for local execution.