Build a diagnostic workbench for applications that store and retrieve long-term AI memories, user profiles, project notes, and knowledge-base entries.
Allow developers to import structured memories, documents, timestamps, metadata, and retrieval results. Detect contradictory facts, outdated preferences, duplicated memories, ambiguous references, conflicting versions, and records that belong to different entities but appear similar.
Create a timeline for each fact showing when it was introduced, modified, superseded, or retrieved. Simulate queries against the knowledge base and explain why specific records would be selected or ignored.
Provide configurable strategies for resolving conflicts, including recency weighting, source authority, explicit user corrections, and manual review. Show how each strategy changes retrieval results.
Include a test suite for ambiguous queries, stale information, conflicting evidence, and missing context. Never silently overwrite conflicting information. Preserve provenance and allow users to inspect every source behind a proposed memory resolution.
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