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.

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

CodeTF: One-stop Transformer Library for State-of-the-art Code LLM

Open-source framework for holistic, structured repository-level documentation across multilingual codebases

CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

Generalist Software Agents to Solve Soware Engineering Tasks

Always keep your codebases ready for Agents. Improve any coding workflow by atleast 2x by maintaing a live, pluggable context layer per repo that creates and maintains Agents.md

Visual summaries for code repositories

Neural search engine for discovering semantically similar Python repositories on GitHub

Repository Planning Graph — semantic code understanding via MCP (arXiv:2602.02084)

you cannot fart without art

Yar — Understand Complex Codebases Fast ⚡ 🚀

Code visualization for non-programmers. A docent for your codebase.

This repository contains experiments on comparing the similarity of Python repositories using ML models.

[NeurIPS'25] Evaluating Program Semantics Reasoning with Type Inference in System F

Dynamic Intelligence Graph (DIG) MCP server for AI coding agents. Persistent code knowledge graph, a code RAG improvement, with hybrid Graph + Vector + BM25 retrieval, agent memory, multi-agent coordination, and impact-scoped test selection. Works with Claude Code, VS Code Copilot, and Cursor.

Tag source files with real-world stories.