novyx-mcp — Cursor AI Agent
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    novyx-mcp

    novyx-mcp

    novyxlabs March 13, 2026
    29 copies 0 downloads

    Persistent memory + governance for AI agents. 119 MCP tools — core memory works locally (zero config SQLite), full surface (policy-as-code, approval workflows, governance dashboard, threat intel, auto-defense, governed actions, Runtime v2 agents/missions/capabilities) with Novyx Cloud.

    <!-- mcp-name: io.github.novyxlabs/novyx-mcp -->

    novyx-mcp

    Persistent memory + governance for AI agents. 119 MCP tools for Claude Desktop, Cursor, and Claude Code. Works locally with zero config (SQLite) for core memory operations, or connects to Novyx Cloud for the full surface including policy-as-code, approval workflows, governance dashboard, Runtime v2 agents/missions/capabilities, threat intelligence, auto-defense, correlation, governed actions, cortex, replay, and eval baselines. Every Novyx customer makes every other customer safer.

    Install

    pip install novyx-mcp
    

    Configuration

    Claude Desktop

    Add to your claude_desktop_config.json:

    {
      "mcpServers": {
        "novyx-memory": {
          "command": "python",
          "args": ["-m", "novyx_mcp"],
          "env": {
            "NOVYX_API_KEY": "nram_your_key_here"
          }
        }
      }
    }
    

    Cursor

    Add to your Claude MCP settings:

    {
      "mcpServers": {
        "novyx-memory": {
          "command": "python",
          "args": ["-m", "novyx_mcp"],
          "env": {
            "NOVYX_API_KEY": "nram_your_key_here"
          }
        }
      }
    }
    

    Claude Code

    Claude MCP add novyx-memory -- python -m novyx_mcp
    

    Set the NOVYX_API_KEY environment variable before starting Claude Code. Omit it to use local mode (SQLite, zero config).

    CLAUDE.md Integration

    After installing and configuring the MCP server above, add this to your project's CLAUDE.md so Claude Code uses Novyx automatically:

    ## Shared Memory (Novyx MCP)
    You have access to novyx-mcp tools for shared memory, knowledge graph, audit,
    rollback, replay, and context spaces. Use them when relevant. Store decisions
    and status at the end of tasks. Check for context from other agents before
    starting new work.
    

    This turns isolated Claude Code sessions into a coordinated team — each session stores what it learned and checks what other sessions have done before starting work.

    Canonical Workflow: Draft, Review,

    Tags

    agentsai-agentsaudit-trailclaudeclaude-codecursormcpmemorymodel-context-protocolpersistent-memory

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