Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,67 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- ai-memory
|
| 5 |
+
- ai-agents
|
| 6 |
+
- mcp
|
| 7 |
+
- benchmark
|
| 8 |
+
- retrieval
|
| 9 |
+
pretty_name: Audrey Memory Benchmark Artifacts
|
| 10 |
+
size_categories:
|
| 11 |
+
- n<1K
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Audrey Memory Benchmark Artifacts
|
| 15 |
+
|
| 16 |
+
This dataset publishes Audrey's local benchmark artifacts for inspection and reproducibility. Audrey is a local-first memory runtime and MCP server for AI agents.
|
| 17 |
+
|
| 18 |
+
Project: https://github.com/Evilander/Audrey
|
| 19 |
+
Package: https://www.npmjs.com/package/audrey
|
| 20 |
+
AMB submission: https://github.com/vectorize-io/agent-memory-benchmark/issues/11
|
| 21 |
+
|
| 22 |
+
## What is included
|
| 23 |
+
|
| 24 |
+
- `summary.json`: local memory regression summary
|
| 25 |
+
- `report.html`: static benchmark report
|
| 26 |
+
- `local-overall.svg`: overall score graph
|
| 27 |
+
- `retrieval-overall.svg`: retrieval suite graph
|
| 28 |
+
- `operations-overall.svg`: operations suite graph
|
| 29 |
+
- `published-locomo.svg`: reference comparison graph
|
| 30 |
+
- `audrey-benchmark-report.png`: browser-rendered full-page screenshot
|
| 31 |
+
- `perf-0.22.2.json`: latency snapshot
|
| 32 |
+
|
| 33 |
+
## Methodology
|
| 34 |
+
|
| 35 |
+
The local suite uses mock embeddings and a mock LLM to test Audrey's memory behavior deterministically against weak baselines. It is a release regression gate and evidence artifact, not an official AMB, LongMemEval, or LoCoMo leaderboard submission.
|
| 36 |
+
|
| 37 |
+
## Current local result
|
| 38 |
+
|
| 39 |
+
Generated: `2026-05-01T03:20:07.968Z`
|
| 40 |
+
|
| 41 |
+
Command:
|
| 42 |
+
|
| 43 |
+
```bash
|
| 44 |
+
node benchmarks/run.js --provider mock --dimensions 64
|
| 45 |
+
```
|
| 46 |
+
|
| 47 |
+
Audrey scored `100.0%` with `100.0%` pass rate across the local regression suite.
|
| 48 |
+
|
| 49 |
+
## Performance snapshot
|
| 50 |
+
|
| 51 |
+
Generated: `2026-05-01T03:39:02.431Z`
|
| 52 |
+
|
| 53 |
+
Hardware: Windows x64, Node 25.5.0, AMD Ryzen 9 7900X3D, 62.9 GB RAM.
|
| 54 |
+
|
| 55 |
+
Methodology: mock 64-dim embeddings, mock LLM, SQLite/sqlite-vec, hybrid recall, limit 5.
|
| 56 |
+
|
| 57 |
+
| Corpus size | Encode p50 | Encode p95 | Recall p50 | Recall p95 | Recall p99 |
|
| 58 |
+
|---|---:|---:|---:|---:|---:|
|
| 59 |
+
| 100 | 0.34 ms | 0.54 ms | 0.56 ms | 1.2 ms | 3.5 ms |
|
| 60 |
+
| 1,000 | 0.31 ms | 0.63 ms | 0.65 ms | 1.2 ms | 7.7 ms |
|
| 61 |
+
| 5,000 | 0.28 ms | 0.51 ms | 2.1 ms | 3.6 ms | 23.3 ms |
|
| 62 |
+
|
| 63 |
+
## Claim boundary
|
| 64 |
+
|
| 65 |
+
These artifacts are published for transparency. Official third-party leaderboard claims require running the relevant third-party harness and publishing those outputs separately.
|
| 66 |
+
|
| 67 |
+
The next public benchmark target is AMB. Audrey has been submitted as an AMB provider candidate in issue #11.
|