Condensate

2026-06-10 · locomo10_condensate_v53_fair.json

LoCoMo-10 benchmark report

Condensate scored on the public LoCoMo long-memory suite alongside transcript replay, observation-list baselines, and published leaderboard references. This page summarizes the latest fair full run: 10 conversations, 1,986 questions, fresh ingest per conversation, session-scoped retrieve.

What LoCoMo measures

Assistants that run for weeks must recall prior user statements without attaching the full chat history on every request.

Targets and June 2026 scores

Internal target: at least 85% retrieval recall with under 7,000 tokens of memory per question.

Published reference (LoCoMo leaders): about 92.5% recall, about 6,956 tokens per question.

83.6%
Condensate recall

1.4 pts below 85% goal; transcript baseline 80.4%. Peak fair run: 85.4% (June 2026).

1,647
Memory tokens per question

Under 7k cap; transcript average ~20,476 (~12× Condensate)

Native end-to-end answer match (not recall-only): 72.6%.

Baseline definitions

Approach Mechanism Recall Tokens per question
Full transcriptAttach the full chat log on each turn80.4%~20,500
Observation listAppend-only extracted bullets69.2%~6,300
Structured notesOrganized store without retiring stale rows80.4%~22,100
Industry referencePublished LoCoMo leaderboard entries~92.5%~7,000
Condensate (fair v5.3)Dated facts with supersession; per-conversation ingest83.6%~1,647

Per-category recall

Type Industry Condensate Transcript
Open-domain76.0%92.5%98.3%
Temporal92.8%95.6%86.0%
Multi-hop93.3%81.2%55.2%
Single-hop92.3%84.0%92.9%
Adversarialn/a58.3%40.1%

Remaining work: multi-hop 81.2%, adversarial 58.3% (target 75%+), overall +1.4 pts to 85% goal, GTM gate 95% (LOC-020).

Operational notes

Regenerate the report

# WSL, from Condensates repo root
make test-locomo-v53-fair   # Fair full run (force-recreates API with bench env)
make test-locomo-report     # Merge + comparative MD/HTML + failure analysis
make test-contradiction     # 50 supersession cases

Artifacts: benchmarks/results/locomo10_condensate_v53_fair.json, locomo10_comparative_report.html (also mirrored here). Do not cite QA-only partial runs (~50.5%) or runs without RETRIEVE_BENCHMARK_MODE=1.

Open user-facing comparative report (HTML) →

Summary table

Approach Right info in context Memory per question Updates on correction
Full transcript80.4%~20k tokensNo
Fact list69.2%~6k tokensAdd-only
Industry leaderboard~92.5%~7k tokensVaries
Condensate (June 2026 fair)83.6%~1.6k tokensYes