Memory
@modelcontextprotocol
About Memory
Model Context Protocol Servers
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"memory": {
"command": "docker",
"args": [
"run",
"-i",
"-v",
"claude-memory:/app/dist",
"--rm",
"mcp/memory"
]
}
}
}Tools
9Create multiple new entities in the knowledge graph
Create multiple new relations between entities
Add new observations to existing entities
Remove entities and their relations
Remove specific observations from entities
Remove specific relations from the graph
Read the entire knowledge graph
Search for nodes based on query
Retrieve specific nodes by name
Overview
What is Memory?
Memory is an MCP server that provides persistent memory using a local knowledge graph. It lets AI assistants like Claude remember information about the user across chats by storing entities, relations, and observations.
How to use Memory?
Configure Memory in your MCP client (Claude Desktop or VS Code) using Docker or npx. Optionally set the MEMORY_FILE_PATH environment variable to customize the storage file. Use the provided tools (e.g., create_entities, create_relations, add_observations) and the knowledge-graph resource to read and modify the graph.
Key features of Memory
- Persistent memory via local knowledge graph
- Entities with types and atomic observations
- Directed relations in active voice
- CRUD tools for graph manipulation
- Readable knowledge graph resource with live updates
- Configurable JSONL file storage
Use cases of Memory
- Remembering user identity and preferences across sessions
- Storing recurring behaviors, habits, and interests
- Tracking personal and professional goals
- Maintaining relationship networks for context
- Customizing assistant responses with past information
FAQ from Memory
How does Memory persist data?
Data is saved to a local JSONL file. The default path is memory.jsonl in the server directory, but can be overridden with the MEMORY_FILE_PATH environment variable.
What tools does Memory provide?
Memory offers create_entities, create_relations, add_observations, delete_entities, delete_observations, delete_relations, read_graph, search_nodes, and open_nodes. All tools are designed for a knowledge graph.
What runtime is needed?
Memory can be run via Docker or using Node.js with npx. No external database is required.
How do I configure the storage file path?
Set the MEMORY_FILE_PATH environment variable in the MCP server configuration (e.g., in claude_desktop_config.json). The default location is memory.jsonl in the server directory.
Does Memory support VS Code?
Yes. Memory can be installed in VS Code using the provided one‑click buttons or by adding the configuration to the user or workspace MCP settings file.
Frequently asked questions
How does Memory persist data?
Data is saved to a local JSONL file. The default path is `memory.jsonl` in the server directory, but can be overridden with the `MEMORY_FILE_PATH` environment variable.
What tools does Memory provide?
Memory offers `create_entities`, `create_relations`, `add_observations`, `delete_entities`, `delete_observations`, `delete_relations`, `read_graph`, `search_nodes`, and `open_nodes`. All tools are designed for a knowledge graph.
What runtime is needed?
Memory can be run via Docker or using Node.js with npx. No external database is required.
How do I configure the storage file path?
Set the `MEMORY_FILE_PATH` environment variable in the MCP server configuration (e.g., in `claude_desktop_config.json`). The default location is `memory.jsonl` in the server directory.
Does Memory support VS Code?
Yes. Memory can be installed in VS Code using the provided one‑click buttons or by adding the configuration to the user or workspace MCP settings file.
Basic information
More Memory & Knowledge MCP servers
RAG Documentation MCP Server
hannesrudolphAn MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
minutes
silversteinEvery meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.
Context Portal MCP (ConPort)
GreatScottyMacContext Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.
Docs MCP Server
araboldGrounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
PLUR
plur-aiAI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
Comments