ContextGem: Effortless LLM extraction from documents
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Build LLM-powered applications in Ruby
A Julia machine learning framework
The leading open-source AI copilot for JetBrains. Connect to any model in any environment, and customize your coding experience in any way you like.
Code Editor for the AI Agents Era. Run multiple Claude Code and Codex agents across projects on your machine.
High-performance code-intelligence engine for AI agents and IDE, supports 257 languages, multi repositories, based on graph, with access via CLI, MCP Server, and API. AI coding agents teammate - expose only needed inform
Nimbalyst - The open-source visual workspace for Claude Code, Codex, and OpenCode. Run multiple coding agents in parallel, edit their work visually in markdown, mockups, and diagrams, and track tasks. Free, MIT-licensed
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
Large-scale LLM inference engine
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower develo
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. ✨
Magenta RealTime 2: An Open-Weights Live Music Model
Interpretability and explainability of data and machine learning models
大规模 AI 训练数据的清洗与整理工具。
A neurosymbolic perspective on LLMs
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
The React library for LLMs
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Automated Machine Learning on Kubernetes
TT-NN operator library, and TT-Metalium low level kernel programming model.
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transforma
A model-agnostic visual debugging tool for machine learning
Machine learning with dataframes