What you can do with
decision‑aware context
Ask questions that no other system can answer
Make LLMs safe and accountable
Not by retrieving docs into a prompt (RAG), but by injecting decision‑aware context as a hard constraint during generation. We prioritize in-built relevance, confidence, and temporal validation throughout your memory layer.
When an LLM proposes a change, QuarkMemory evaluates the proposal against every attached decision — business, technical, security — and flags contradictions before code is written.
Turn your codebase into a decision engine
Becomes decision‑first, not dependency‑first. You don't just see call graphs. You see which business processes, compliance reports, or architectural invariants are at risk.
Becomes a conversation with the code. New engineers ask a function: "What decisions shaped you?" and get a curated, non‑contradictory answer.
Become instant. Regulators ask: "Which functions implement GDPR Article 17?" You run a split-second query. No tedious manual mapping involved. We have you covered.
Enforce decision integrity over time
Because every fact has a lifespan (since/expires) and explicit !supersedes edges, QuarkMemory actively prevents:
Evolve your codebase with decision intelligence
QuarkMemory tells you which decisions are local to a function versus inherited, so you know what you can change safely without throwing your codebase to the stone age.
When you deprecate a business rule, you see exactly why each entity needs attention, not just a function list.
When you propose a new ADR, you can internalize its impact across the entire codebase before writing a single line of code.