MemoSift
Use Cases

Whatyoubuild
ontopofit.

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Token savings, persistent context, cross-session memory

Cut your token bill

60–80%fewer tokens per session

Large content externalized as artifacts on first encounter. Same file needed again? Agent fetches from storage. SHA-256 dedup stores identical outputs once.

Artifact externalizationSHA-256 dedupFetch on demand

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Compare artifact fetch count vs. tool re-call count across a week. Most projects see 40–60% of calls retrievable from stored artifacts — that's your savings.

Cross-session memory

Zerominutes re-exploring

Every turn extracts typed memories with entity stamps. Next session, project-scoped recall surfaces all prior decisions, patterns, and artifacts.

Memory extractionIntent versioningProject recall

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Recall by intent epoch: 'What did we decide during architecture?' Jump to any goal version without re-searching.

Survive context compaction

<50mscompression, no LLM

Two-stage compression replaces old turns with structured knowledge organized by intent version. Temporal recall snapshots what the agent knew at any turn.

Two-stage compressionTemporal recallIntent templates

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Time-travel debugging: 'What did the agent know at turn 12 when it made that decision?' Reconstruct the exact knowledge state.

Research across documents

4-axisgraph exploration

Documents stored as artifacts. Findings as memories with entity stamps. Entity graph connects concepts across all documents via typed relations.

Entity graphTyped relationsProposition extraction

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Walk entity connections without search: 'Everything related to AuthService' across all documents and sessions.

Start with your first session.

Free during beta. The memory compounds from day one.

pip install memosift