About
What is Chronos?
Chronos is a groundbreaking debugging-first language model developed by Kodezi, specifically engineered for repository-scale code understanding. It boasts state-of-the-art results on SWE-bench Lite (80.33%) and achieves an impressive 67% real-world fix accuracy, significantly outperforming general-purpose models like GPT-4. Chronos is built upon key innovations including a debugging-first architecture trained on 42.5M examples, Persistent Debug Memory (PDM) for repository-specific learning, and Adaptive Graph-Guided Retrieval (AGR) for intelligent multi-file context handling. Its seven-layer system design incorporates an execution sandbox and an explainability layer, making it a comprehensive solution for autonomous debugging. The model is slated for general availability in Q1 2026 via Kodezi OS, with limited enterprise beta access in Q4 2025.
Best used for
Ideal for software engineers and development teams who need to autonomously debug complex, repository-scale codebases, achieve high fix accuracy, and reduce debugging time. Especially valuable for enterprises dealing with large, intricate software projects where traditional debugging methods are inefficient.
Common actions
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Capabilities
Key features
- Debugging-first architecture
- Persistent debug memory
- Adaptive graph retrieval
- Autonomous debugging loop
- Execution sandbox
- Explainability layer
Integrations
Not yet documentedPricing & Plans
Enterprise ยท Likely Not Free
Not publicly disclosed. Check https://chronos.so for current pricing.
FAQs
When will Kodezi Chronos be generally available?
Kodezi Chronos is scheduled for general availability in Q1 2026 through Kodezi OS. Limited enterprise beta access will be provided in Q4 2025 for interested organizations.
How does Chronos compare to general-purpose language models for debugging?
Chronos significantly outperforms general-purpose models like GPT-4 and Claude on debugging tasks, achieving 80.33% on SWE-bench Lite compared to their <15%. This is due to its specialized architecture and training on 42.5M debugging examples.
What are the core innovations behind Chronos's performance?
Chronos's performance stems from its debugging-first architecture, Persistent Debug Memory (PDM) for repository-specific learning, and Adaptive Graph-Guided Retrieval (AGR) for efficient multi-file context handling. These innovations enable high accuracy and autonomous bug fixing.