HydraDB
Graph database on object storage, built for AI agent memory and context
Visit hydradb.com ↗What is HydraDB?
HydraDB is a distributed graph database written in Rust that stores data on S3-compatible object storage rather than dedicated servers. It's designed for AI workloads including agent memory systems, ontologies, and company knowledge graphs. The architecture separates storage and compute, allowing data nodes and indexers to scale independently while keeping only temporary state in memory.
The database offers Neo4j-compatible Bolt connectivity and an HTTPS API, with features like temporal versioning, entity resolution, and GraphBLAS-accelerated traversal. According to benchmarks shown on the site, it achieves significant cost reductions compared to traditional graph databases while maintaining query performance. The project is open source and has raised $6.5M in funding.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered HydraDB automatically. Evidence: GitHub hydra-db/hydradb; repo has AGENTS.md, CLAUDE.md. View source.
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