Crosmos

by crosmos-labs

341 downloads
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GitHub

About

Persistent memory for AI agents. Give your coding assistant organizational context that compounds — search memories with hybrid retrieval, store anything with auto entity extraction, and query a living knowledge graph that gets smarter over time.

Details

Author
crosmos-labs
Downloads
341
Categories
Knowledge Base, AI

- Graph-native memory with entity and relationship linking
- Temporal – every fact is timestamped for time‑travel queries
- Hybrid retrieval (semantic, keyword, graph, temporal)
- Automatic entity and relationship extraction from raw text
- Multi‑space isolation for projects, teams, or agents
- Four retrieval signals fused into a single ranked result

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Crosmos
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install via npx @crosmos/crosmos-mcp setup which auto-detects MCP clients, or configure manually with a JSON block setting the CROSMOS_API_KEY (obtainable at console.crosmos.dev). Supported clients include Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, opencode, Cline, Roo-Cline, and Zed.

search_memories

Search memories in Crosmos Memory Engine using hybrid retrieval. Combines semantic (vector), keyword (full-text), and graph-based retrieval. Requires a space_id — call list_spaces if you don't have one yet.

add_memory

Add new memories to Crosmos Memory Engine. Content is processed through an extraction pipeline that identifies entities, relationships, and creates structured knowledge graph entries. Requires a space_id — call list_spaces if you don't have one yet.

health_check

Check the health status of the Crosmos Memory Engine API

list_spaces

List all memory spaces owned by the authenticated user. Call this to discover available space IDs needed by search_memories and add_memory.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "crosmos": {
            "crosmos-memory": {
                "command": "npx",
                "args": [
                    "-y",
                    "@crosmos/crosmos-mcp"
                ],
                "env": {
                    "CROSMOS_API_KEY": "<YOUR_API_KEY>"
                }
            }
        }
    }
}

McpServers

{
    "crosmos-memory": {
        "command": "npx",
        "args": [
            "-y",
            "@crosmos/crosmos-mcp"
        ],
        "env": {
            "CROSMOS_API_KEY": "<YOUR_API_KEY>"
        }
    }
}

What is Crosmos?

Crosmos is a persistent memory layer for AI agents. Instead of starting every conversation from scratch, your agent can store and retrieve organizational knowledge across sessions — powered by a temporal knowledge graph with hybrid retrieval.
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