Kodezi/Chronos
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.
Implements Adaptive Graph-Guided Retrieval with dynamic code dependency mapping across repositories, enabling precise context selection for multi-file bugs without full codebase loading. Leverages Persistent Debug Memory to track repository-specific patterns across sessions, improving fix accuracy from 35% to 65% through temporal learning. Integrates with standard development workflows via Kodezi OS, targeting SWE-bench evaluation scenarios and real-world repository debugging at scales exceeding 1M LOC.
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Java
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Last pushed
Nov 12, 2025
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