Explore live open-source projects and AI models.

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

A benchmarking library. As used on jsPerf.com.

SWE-bench: Can Language Models Resolve Real-world Github Issues?

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.

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

Visual Tracking Paper List

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

HTTP(S) benchmark tools, testing/debugging, & restAPI (RESTful)

XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)