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Agent Memory
Tier 3
Memosynth Lite
Summary
A lightweight memory ingestion pipeline that processes JSON memory logs through summarization and deduplication, then fans out to three backends: a vector DB (Qdrant), a relational timeline (DuckDB), and a memory graph (Neo4j).
Key Takeaways
- Ingestion pipeline: summarize and dedupe BEFORE storing
- Tri-store fan-out shows one memory feeding vector, timeline, and graph views
Reliability Note
Demo-scale project; the pipeline shape is the takeaway.
Flows informed by this source
1Memory & Context
Memory Recall: Ranking and Relevance
Make recall surface the right memories: hybrid lexical+semantic search, rank fusion, and explainable retrieval.
01Build the lexical layer
02Add the semantic layer
03Fuse rankings with boosts
+1 more steps to Done
Best forproduction-grade builds with strict verification
4 steps90-120 minutesAdvanced