Summary

Chronos is a debugging tool designed for large-scale debugging, utilizing token-efficient autonomy and memory-guided fixes. It achieves high success rates (58.3-94.2%) across various bug categories, outperforming models like GPT-4.1, Claude 4 Opus, DeepSeek V3, and Gemini 2.5 Pro, particularly with complex concurrency and performance bugs. Key features include contextual integration across files, tests, and logs, and continuous learning through retraining memory after each resolution. It’s designed to integrate seamlessly into existing workflows with full production awareness.

Title

Chronos - Kodezi

Description

Kodezi Chronos-1 is a debugging-first language model for repository-scale reasoning, root cause analysis, and test-validated code repair. Powered by memory graphs, multi-hop retrieval, and causal patch generation.

Keywords

success, performance, models, retrieval, memory, context, while, cost, analysis, complex, cycles, bugs, code, rates, like, efficiency, average

NS Lookup

A 31.43.160.6, A 31.43.161.6

Dates

Created 2026-03-09

Updated 2026-03-09

Summarized 2026-03-10