Comparison | Mnemosyne

Sibyl vs Mnemosyne: the most fragile methodological result

Mnemosyne is tested in FTS-only mode, which makes the score weak but calls for a hybrid rerun before any hard public claim.

Full test note

This is the page where storytelling needs restraint. The number looks brutal, but the report also says vectors were disabled. The honest story is not victory-lap content. It is a warning label plus a next rerun.

Read the full test page
Sibyl retrieval350/350
Mnemosyne retrieval5/350
Mnemosyne answers55/350
Mnemosyne avg context1,662 tokens
Mnemosyne ingestion22,343 s
Mnemosyne answer cost$2.78

Verdict

Mnemosyne passes 5/350 in retrieval and 55/350 after Sonnet, but this result should be read carefully because vectors are disabled.

The run uses `fts_weight=1.0`, `vec_weight=0.0`, extraction disabled and top_k=8. Ingestion takes 22,343 seconds, more than 6 hours.

Comparison table

MetricSibylMnemosyne
Retrieval350/3505/350
Sonnet answers344/35055/350
Average context228 tokens1,662 tokens
Ingestion48 s22,343 s
Estimated answer cost$0.64$2.78

Methodological caveat

This is the result I would present with the most caution. The report recommends a 50-company rerun in hybrid FTS/vector mode before any strong public claim.

Why not the best possible configuration?

Rerun the test

python scripts/run_mnemosyne_365d_500c_category_baseline.py

Evidence files