Local-first search engine and MCP server in one Rust binary, indexing code, docs, logs and PDFs for BM25, vector and hybrid search.
Self-hosted OpenAI-compatible proxy that routes requests across free-tier LLM providers with failover and encrypted key storage.
MCP server that keeps raw tool output out of AI coding agent context windows and persists session state across compaction.
OpenUI is a framework-agnostic Generative UI framework with a streaming-first language for rendering model-generated interfaces.
Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
Runs open-weight LLMs such as Gemma, Qwen, DeepSeek, and gpt-oss locally or in the cloud, with a CLI, REST API, and Python and JavaScript libraries.
Modular SKILL.md instructions that ground AI agents in Android development best practices from developer.android.com.
A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
A local proxy that lets Claude Code, Codex, OpenCode and other coding agents run on free or alternative model providers.
A TypeScript proxy plugin that sits between coding agents and model APIs, compressing conversation history into reversible layered summaries.
Local MCP server that builds a persistent knowledge graph of code, docs, and infrastructure for AI coding agents and developers.
Chinese-language hands-on programming tutorial series on large language models, covering fine-tuning, prompting, editing, watermarking, jailbreaks, and agents.
A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.
A curated list of LLM APIs that offer permanent free tiers for text inference, with base URLs, models, and rate limits.
SGLang is an open-source inference framework for serving large language, vision-language, and diffusion models.
Self-hosted AI gateway that exposes one API to clients while routing requests to multiple upstream model providers.
Open-source local AI engine that runs LLMs, vision, voice, image, and video models behind OpenAI-compatible APIs on CPU or GPU.
Python library that uses LLMs and graph-based pipelines to extract structured data from websites and local documents from a natural-language prompt.
Code examples for the O'Reilly book Hands-On Large Language Models, covering LLM concepts and practical techniques in Jupyter notebooks.
Inference engine for running AI models locally inside apps, with Rust core and Swift, Python, and TypeScript bindings.
Serves language models from a Zig binary on Apple Silicon and NVIDIA GPUs using Metal and CUDA kernels.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
An interactive Jupyter notebook course teaching prompt engineering techniques for Anthropic's Claude models.
Open-source components of the Modular Platform, including the MAX AI framework and the Mojo programming language.
Claude Code plugin that runs the same research, design, or coding task across multiple external AI models and flags where they disagree.
Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.
Demo scripts for running PrismML's Bonsai 2 small LLMs (2B to 27B) locally on Mac, Linux, Windows, or CPU.
A curated collection of prompts, video-generation techniques, and API guides for ByteDance's Seedance 2.0 AI video model.
Ruby framework for building AI features with a unified API across 23 model providers, tools, agents, and Rails conventions.
Official Java SDK for building Model Context Protocol servers and clients, maintained with the Spring AI team.
A Zig inference framework that compiles ML models through MLIR and OpenXLA to run on NVIDIA, AMD, Intel, TPU, and Trainium hardware.
Sample notebooks, code, and apps demonstrating how to build with generative AI models on Google Cloud.
GitHub Copilot plugin for Xcode providing code completions, chat, agent mode, and code review for Swift and Objective-C.
A Chinese-language tutorial book that teaches LLM principles and walks through building and training a small LLaMA2-style model from scratch.