Large Language Models GitHub Repositories (2026) · Open Source Tools

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🚀 Efficient implementations for emerging model architectures

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.

[NeurIPS 2026] State of Thought Enables Endogenous Reasoning

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The Ruby AI framework.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers across function-level, repository-level, agentic, and smart-contract detection, plus datasets, benchmarks, and surveys.

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.

A simple, performant, and scalable Jax LLM!

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Custom AI agent platform to speed up your work.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

The pretty much "official" DSPy framework for Typescript

Fast, Flexible and Portable Structured Generation

Interactive 3D visualization platform for exploring transformer architectures, tensors, and real-time LLM inference.

A simple Java library for interacting with Ollama server.