Neo4J × SambaNova Hacknight - Winner

The Neo4J × SambaNova Hacknight brought together developers passionate about graph databases and high-performance AI inference. Our winning project addressed a critical challenge in AI coding assistants: the lack of persistent, contextual memory.

Traditional coding agents suffer from "context amnesia"—they can't remember previous sessions, user preferences, or project-specific patterns. We built a solution that combines:

• **Neo4J Graph Database** for storing:
• •Code relationships and dependencies as connected nodes
• •User interaction patterns and preferences
• •Project-specific conventions and style guides
• •Historical context from previous coding sessions

• **SambaNova's Ultra-Fast Inference** for:
• •Real-time memory retrieval during coding assistance
• •Dynamic graph traversal to find relevant context
• •Generating responses that incorporate historical knowledge

The system creates a "memory graph" for each user/project combination, growing smarter over time. When a developer asks for help, the agent queries the graph to understand not just the current code, but the project's history, the developer's coding style, and relevant past decisions.

This approach won us the SambaNova Track, with judges highlighting the practical applicability and the elegant combination of graph-based memory with high-speed inference.