KEPTA — Agent Memory vs ZenBrain Memory

In-depth architectural comparison of the KEPTA — Agent Memory and ZenBrain Memory MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

K

Choose KEPTA — Agent Memory when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore KEPTA — Agent Memory Details

Choose ZenBrain Memory when:

• You need dedicated capabilities in the Databases domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore ZenBrain Memory Details

Feature & Specification Comparison

Specification	K KEPTA — Agent Memory Databases	ZenBrain Memory Databases
Summary	Local memory for AI agents. One SQLite file on your machine — no cloud, no account.	Seven-layer agent memory: episodic, semantic, procedural and core. Local SQLite, no account.
Category & Scope	Databases	Databases
Quality signal

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "kepta-agent-memory": {
      "command": "npx",
      "args": [
        "-y",
        "kepta-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "zenbrain-memory": {
      "command": "npx",
      "args": [
        "-y",
        "zenbrain-memory"
      ]
    }
  }
}

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