Product Launch
anonymous
1 points
1 comments
Posted17 days agoActive17 days ago
MemVault
github.commvplibrarydevelopers
Key Features
Async GraphRAG MemoryIntegration with Postgres and RedisSupport for AI Agents
Tech Stack
Postgres
Key Features
Tech Stack
I didn't want to maintain a separate Neo4j instance, so I built a hybrid solution on top of Postgres (using pgvector).
The Architecture: It separates ingestion from processing. I call it "Sleep Cycles".
Ingest: Data is pushed and vectorized immediately for fast retrieval.
Consolidate: An async worker (Redis/BullMQ) processes the new data to extract entities and build a graph structure, linking new info to existing nodes.
This allows the system to answer multi-hop questions that pure vector search misses.
I just released a GitHub Action to automate syncing repository documentation, as manual context loading was a friction point.
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