Audrey

Audrey is a local-first memory firewall and MCP server for AI agents.

It helps coding agents remember repository rules, previous failures, validated lessons, contradictions, and tool outcomes before they act again.

Public proof:

• GitHub: https://github.com/Evilander/Audrey
• Benchmark report: https://huggingface.co/spaces/Evilander/audrey-memory-benchmark-report
• Raw benchmark artifacts: https://huggingface.co/datasets/Evilander/audrey-memory-benchmark-artifacts
• AMB provider request: https://github.com/vectorize-io/agent-memory-benchmark/issues/11

Install with:

{
  "mcpServers": {
    "audrey-memory": {
      "command": "npx",
      "args": ["-y", "audrey", "mcp"],
      "env": {
        "AUDREY_EMBEDDING_PROVIDER": "mock"
      }
    }
  }
}

Claim boundary: the public benchmark artifacts are deterministic local regression/performance evidence, not an official AMB, LoCoMo, or LongMemEval leaderboard score yet.