
Memory
io.github.sharedmemoryaiPublished by GitHub account sharedmemoryaiv2.1.1Updated Oct 24, 2026
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
The publisher's own server: Memory.fit
Overview
SharedMemory's local MCP server gives an assistant persistent memory: it stores facts, recalls them by semantic search, and explores a shared knowledge graph.
- What you can do
- Store single or batched memories, update or delete them by ID, and submit relevance feedback on results. Retrieve context before answering through semantic search, fetch specific memories, and get a prompt-ready context block or auto-generated user profile. Search entities by name, read entity details and relationships, and view the knowledge graph overview. List accessible volumes, uploaded documents, and active instructions, and set persistent rules all agents follow. Use the knowledge-graph resource and prompts that summarize a volume or report what is known about a topic.
- When to use it
- Useful when you want an assistant to carry knowledge across sessions and clients, such as coding agents that should remember project facts, preferences, or team rules. Also fits teams sharing one memory volume across Claude Code, Claude Desktop, Cursor, VS Code Copilot, or Windsurf.
- Requirements
- Runs locally as an npm package via npx, so Node.js is needed. Requires a SharedMemory API key in SHAREDMEMORY_API_KEY; optional SHAREDMEMORY_API_URL and SHAREDMEMORY_VOLUME_ID set the endpoint and default volume. Network access to the SharedMemory API is required.
Installation
In SourceWeft
- Open Memory in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
@sharedmemory/mcp-server
Model Context Protocol server for SharedMemory. Gives Claude Code, Claude Desktop, Cursor, VS Code Copilot, and other MCP-compatible tools persistent memory.
Quick Install (Recommended)
The fastest way to set up SharedMemory — one command, no JSON editing:
Supported clients: --claude-code, --claude, --cursor, --vscode, --windsurf, --all
Manual Setup
If you prefer to edit config files yourself:
Claude Code
One command:
Or with env vars:
Or create .mcp.json in your project root to share with your team:
Tip: Copy the included
CLAUDE.mdinto your project root to teach Claude Code when and how to use SharedMemory proactively.
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json:
Cursor
.cursor/mcp.json in your project root:
VS Code Copilot
.vscode/mcp.json:
Windsurf
~/.codeium/windsurf/mcp_config.json:
Configuration
Available tools
Resources
Prompts
Documentation
https://docs.sharedmemory.ai/sdks/mcp-server
License
MIT
Source: README.md at commit 64a42ff
Tools
0Version history
1- v2.1.1LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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