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@memongo/memory-engine

v1.1.0

Published

MongoDB-native memory engine: embeddings, graph, episodes, search, knowledge base, reasoning chains, novelty detection, consolidation, analytics

Readme

@memongo/memory-engine

MongoDB-native memory engine for Memongo. Use this package when you need direct access to search, graph, episodes, structured memory, procedures, sync, telemetry, reasoning chains, novelty detection, access tracking, memory consolidation, and retrieval internals.

Install

bun add @memongo/memory-engine

When to use this package

  • You are building server-side infrastructure around Memongo.
  • You need direct engine access instead of the HTTP API.
  • You want the lowest-level supported memory primitives in this repo.

Example

import { getMemorySearchManager } from "@memongo/memory-engine"

const { manager } = await getMemorySearchManager({
	cfg,
	agentId: "main",
})

if (!manager) {
	throw new Error("Memongo memory unavailable")
}

const results = await manager.search("release notes")

Memory intelligence modules

  • mongodb-reasoning-chain.ts -- provenance chain traversal via $lookup on sourceEventIds
  • mongodb-novelty.ts -- surprisal novelty detection using Atlas Vector Search centroid distance
  • mongodb-access-tracker.ts -- AccessTracker with batched writes for memory access frequency
  • mongodb-trust.ts -- computeImportanceDecay() with temporalScope-aware decay (permanent/ongoing memories never decay)
  • mongodb-consolidator.ts -- offline consolidation agent (Dreamer) with rule-based pattern matching
  • KB schema fields: wikiSource, vault, section for wiki source categorization

Most apps should use @memongo/memory-bridge or @memongo/client instead of calling the engine directly.