NexMem: Shared Agent Memory for Teams — a plug-and-play MCP memory server with pluggable database backends
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# NexMem MCP **Shared Agent Memory for Teams** — a plug-and-play MCP memory server with pluggable database backends. NexMem gives AI coding agents (Cursor, Claude Desktop, etc.) a persistent knowledge graph that the whole team shares. Agents learn as they work — discovering services, architecture patterns, and conventions — then recall that knowledge instantly in future sessions. ## Features - **Self or Team memory** — personal graph or shared team graph, switchable via env var - **5 storage backends** — JSONL (default), SQLite, MongoDB, PostgreSQL, Redis - **Atomic operations** — no race conditions when multiple team members write simultaneously - **Strong consistency** — reads always return the latest state - **Wire-compatible** — same JSONL format as `@modelcontextprotocol/server-memory` for import/export - **Guided autonomous** — built-in instructions tell the agent what to save (and what not to) - **Extensible** — add custom backends by implementing the `StorageAdapter` ABC ## Quick Start ### 1. Install ```bash pip install mcp-nexmem ``` Or with a database backend: ```bash pip install "mcp-nexmem[mongodb]" # MongoDB pip install "mcp-nexmem[postgres]" # PostgreSQL pip install "mcp-nexmem[redis]" # Redis pip install "mcp-nexmem[all]" # All backends ``` ### 2. Configure Add to your `~/.cursor/mcp.json`: ```json { "mcpServers": { "nexmem": { "command": "nexmem-mcp", "env": { "NEXMEM_MODE": "self" } } } } ``` ### 3. Restart your IDE That's it. The agent now has persistent memory. ## Interactive Setup For a guided setup that generates the config for you: ```bash nexmem-mcp init ``` Or run the install script: ```bash bash scripts/install.sh ``` ## Configuration Reference All configuration is via environment variables (prefix: `NEXMEM_`): | Variable | Default | Description | |---|---|---| | `NEXMEM_MODE` | `self` | `self` for personal memory, `team` for shared | | `NEXMEM_USER_NAME` | OS username…
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