consolidate
Find clusters of similar/duplicate memories, detect near-duplicate entities, surface contradictions, or run sleep mode for batch lifecycle analysis (compress/prune/refresh)
How to use it
Project documentation lists consolidate for the Hippocampus MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.
Install Hippocampus
claude mcp add hippocampus --transport http http://localhost:3000/mcpOther tools in Hippocampus (10)
"Did anything change?" — pass an entity name + cached hash, get back yes/no. No embedding computation, pure metadata.
Get everything about a topic — observations, relationships, related entities. Includes versionhash.
Export as CLAUDE.md context file, readable markdown, JSON, wire format, or Obsidian vault
Permanently delete a memory or entity (secure deletion)
Merge multiple observations into one (atomic consolidation). Returns versionhash.
Merge multiple entities into one — moves all data, deletes sources. Returns versionhash.
Bootstrap memory from a new AI session. Returns structured extraction instructions the AI follows to capture user context.
Search memories by semantic similarity + keyword match. Filter by type, kind, since. Use spread: true to follow relationships and discover connected memories. Includes versionhash per entity in all formats.
Store a fact, preference, or piece of context. Optional kind classification (fact, decision, question, preference, or custom) and importance weighting. Reports overlapping observations so the AI can consolidate incrementally. Returns versionhash for cache invalidation.
Replace an existing observation with new content. Returns versionhash.