Context-Rich Copilot

Most AI tools treat every session like the first time you've met. You paste your code, you get generic feedback, and you spend half your time explaining your stack, your style, your rules — over and over again.

Context-Rich Copilot fixes that.

Tell it your preferences once — your language, your framework, your coding rules — and it stores them permanently in HydraDB. The next session, the next PR, the next code review — it already knows you. It queries its memory, recalls your preferences, and reviews your code the way you would review it.

How it works Teach it your style — describe your tech stack and coding preferences in plain English. The agent parses them using Nebius LLM and writes structured memory entries to HydraDB autonomously. Review any code — paste a snippet or PR diff. The agent queries HydraDB, recalls your preferences, and flags every violation with a direct reference to the rule you care about. Context isolation — maintain separate memory namespaces per language or project. Your TypeScript rules never bleed into your Python reviews. Why it's different Every review you see is driven purely by what was retrieved from HydraDB — not hardcoded rules, not generic best practices. The feedback changes based on your memory. That's the demo. That's the point.