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:\ \ \ \
{\
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"mcpServers": {\
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"audrey-memory": {\
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"command": "npx",\
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"args": ["-y", "audrey", "mcp"],\
\
"env": {\
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"AUDREY_EMBEDDING_PROVIDER": "mock"\
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}\
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}\
\
}\
\
}\
\\ \ Claim boundary: the public benchmark artifacts are deterministic local regression/performance evidence, not an official AMB, LoCoMo, or LongMemEval leaderboard score yet.