Ross ROSS = Recommend OSS · open-source software intelligence for agents

Kodezi/Chronos resource

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. observed · 2026-08-28

github.com/Kodezi/Chronos · homepage · Java · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

41/100

  • Activity 51
  • Release rhythm 35
  • Longevity 29

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 408
  • days_rel: n/a
  • days_push: 294
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4922 stars · 210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kodezi Chronos is a proprietary debugging-first language model for repository-scale code understanding and autonomous bug fixing, presented here via a research paper, benchmark results, and leaderboards. The repository itself contains no runnable code - the model is only accessible through Kodezi OS (beta Q4 2025, GA Q1 2026).

Use cases

  • automatically fix bugs in large codebases
  • evaluate LLM performance on SWE-bench Lite
  • research debugging-focused language models
  • compare program repair model results
  • find state-of-the-art autonomous debugging benchmarks
  • understand graph-guided retrieval for code models

When to choose

  • you want to read benchmark results or the research paper on debugging LLMs
  • you are evaluating SWE-bench Lite leaderboard claims
  • you plan to access the model via Kodezi OS when it ships

When to avoid

  • you need runnable open-source code or model weights today
  • you want a self-hostable debugging tool
  • you need an MIT/Apache-licensed dependency - the license is non-standard and the model is proprietary

Facets

learning-resource · maturity experimental

machine-learning llm-training developer-tools artificial-intelligence large-language-models developer-tools programming-languages python cloud debugging-llm program-repair swe-bench benchmark-results research-paper proprietary-model code-understanding autonomous-debugging

1 source

Member repositories

RepositoryRoleHealth v2
Kodezi/Chronosmain41

For agents

markdown · JSON · MCP: product_card(name="Kodezi/Chronos")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem