How Memora.Dev Works
Modern workflows generate valuable architectural decisions that are rarely documented. We passively observe, infer, and map your code history so you never lose institutional knowledge again.
Our system seamlessly integrates with GitHub. When pull requests are created, code reviews submitted, or commits pushed, the Ingestion System silently captures the metadata, diffs, and discussions in real-time.
The Orchestration Layer triggers specialized AI experts. The Code Archaeology Agent identifies decision points, while the Decision Inference Agent reconstructs the rationale behind architectural choices, treating them as first-class entities.
All extracted insights are stored in a persistent Decision Knowledge Graph. This links intents, code executions, authorities, and eventual outcomes, creating a bidirectional map of your product's evolutionary history.
Trust is paramount. Each AI inference receives a Confidence Score. If the score is below 70%, the system drops the insight into a Human Validation Flow, ensuring your organizational truth remains accurate and high quality.
Stop repeating architectural debates. Developers can ask natural language questions like 'Why was this abstraction chosen?' Our Query System performs semantic searches and delivers evidence-backed answers instantly.
As your team validates decisions and the codebase scales, the Learning Extraction Agent identifies patterns to continuously train the models. The result is a living, breathing institutional memory that outlasts employee turnover.
Start building your team's decision knowledge graph today. Connect your GitHub repository in seconds.