Show HN: We forked KuzuDB and added concurrent writes for AI agent memory
vela.partners
vela.partners
Curious how you're handling write conflicts at the semantic level though, not just the database level. Two agents writing contradictory facts concurrently is a different problem than two agents writing to the same row. Does the resolution happen at the DB layer or does the application need to handle it?
Worth mentioning ArcadeDB (https://arcadedb.com) — it's an open-source multi-model database (Apache 2.0) that supports concurrent writes natively, with graph (OpenCypher/Gremlin), document, key-value, and time-series models in one engine. No need to fork or maintain a separate project.
It also speaks the Neo4j Bolt protocol, so existing tooling works out of the box. Could be a good fit for agent memory use cases like this.