Compare

How we differ from
general-purpose memory

Other memory systems accumulate. We steward. Here's what that means in practice.

Philosophy

Why stewarding
beats storing

Memory ≠ Storage

Vector databases store embeddings. Recall Racoon stewards claims through a governed lifecycle. The difference is the difference between a warehouse and a librarian.

Governance at Write Time

Most systems validate at read time (if at all). Recall Racoon validates at ingest—format, citation, semantic coherence, contradiction. Bad memory never enters the Stash.

Deterministic Over Probabilistic

Rumi's probes are deterministic rules, not LLM judgments. Same input = same decision. Auditability is not optional—it's the architecture.

Local-First, Cloud-Optional

Run fully offline with ONNX embeddings and sqlite-vec. Add cloud backends (Qdrant, Postgres) when you need scale, not because you're forced to.

Capability Matrix

Side-by-side
comparison

CapabilityRecall RacoonGeneral AI Memory SaaSVector DB + Custom RAGKnowledge Graph Memory
Unit of memoryClaim with lifecycle + citationsText chunk / summaryDocument chunkEntity / relationship
Stale fact handlingDecay → stale → supersededOverwrite (silent)Lingers until deletedVersioned (manual)
Conflict detection5-tier auto + manual queueNone (add-only)NoneGraph-level only
Provenance / citationsPer-claim citation + agent traceUsually noneChunk source onlySource URL only
Secret redactionJWT/AWS/SSH at ingestYour problemYour problemYour problem
Offline / air-gappedFull operation, zero networkCloud-dependentDepends on stackSelf-host possible
MCP-nativeBuilt on MCP, not wrapperSDK / wrapperBuild your ownSDK / wrapper
Cost modelCapacity-based, predictablePer-token / SaaSVariable (infra + API)Per-token / SaaS
See for Yourself

Try the demo
with real scenarios