HydraDB OSS
Summary
HydraDB OSS is an open-source graph database designed for AI applications, offering fast, low-latency performance with minimal operational overhead by leveraging object storage.
View Cached Full Text
Cached at: 09/02/26, 07:51 AM
Similar Articles
Show HN: HelixDB – A graph database built on object storage
HelixDB is a graph-vector database built in Rust for knowledge graphs and AI memory, offering a unified platform that supports graph, vector, KV, document, and relational data models, with tools for easy local and cloud deployment.
HydraPlus — the memory and context layer for AI agents that actually knows your users. Open Source
HydraPlus is an open-source memory and context layer for AI agents that uses a live knowledge graph, combining graph traversal, semantic search, and BM25 to provide persistent, secure, and self-managing context across multiple agents.
@techwith_ram: Your AI stack has a database problem You need a vector DB for embeddings. A graph DB for relationships. An application …
HelixDB is a new open-source database built in Rust that combines vector, graph, and other data models into a single engine, backed by Y Combinator. It aims to replace separate vector, graph, and application databases for AI stacks, offering native vector search, graph traversal, and MCP support.
HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools
HyDRA is a hybrid dynamic routing architecture for heterogeneous LLM pools that predicts fine-grained capability requirements per query and selects the cheapest capable model via shortfall matching, achieving up to 72.5% cost savings with quality maintained. It is deployed in GitHub Copilot's VS Code Chat auto-mode and decouples routing from model catalog, requiring no retraining when models change.
Show HN: OSS Cross-Harness self hosted registry and analytics for AI Agents
Observal is an open-source, self-hosted registry and analytics platform for AI components like agents and MCP servers, providing discoverability and usage insights for organizations.