Persistent Debug Memory

Persistent Debug Memory (PDM) is the long-term learning system embedded within Chronos-1.
It continuously collects, stores, and reuses debugging knowledge from every fix attempt, allowing Chronos-1 to get better each time it interacts with a repository.

Instead of starting from zero for every issue, Chronos-1 builds a deep understanding of the codebase, past bugs, and team patterns.

What PDM Stores

PDM maintains a wide range of long-term signals that influence debugging accuracy:

• Repository-specific bug patterns and fixes
  Tracks recurring failure types unique to the project.

• Team coding conventions and preferences
  Learns stylistic and structural patterns from historical PRs.

• Historical fix effectiveness
  Remembers which types of patches resolved issues successfully.

• Module-level vulnerability profiles
  Identifies areas of the codebase prone to failures or regressions.

This stored intelligence becomes increasingly valuable as more debugging sessions occur.

How PDM Improves Chronos-1 Over Time

PDM is trained on over 15 million debugging sessions, enabling Chronos-1 to develop strong pattern recognition.
As it accumulates repository-specific knowledge, the model’s effectiveness increases significantly.

Performance Improvement

• Initial success rate: 35%
• After learning from repository history: 65%

The more Chronos-1 interacts with a codebase, the smarter and more precise it becomes.

Why Persistent Memory Matters

Traditional models forget everything after a single session.
Chronos-powered by PDM—retains knowledge and uses it to:

• diagnose issues faster
• reduce repeated failures
• recognize familiar bug signatures
• avoid previously unsuccessful fix strategies
• refine patches based on historical outcomes

This long-term learning is a core reason Chronos-1 can deliver reliable, production-ready fixes at scale.