Open-source plugins that specialize Claude for knowledge-work roles like sales, legal, finance, and support, for use in Claude Cowork.
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.
Reverse-engineering analysis plugin and visual workbench for DeepSeek Harness, combining static analysis, debugging, HTTP capture and protocol decoding.
Python library and SDK that builds a hierarchical tree index of documents so an LLM can reason through it for retrieval, without vector databases or chunking.
Python library that uses LLMs and graph-based pipelines to extract structured data from websites and local documents from a natural-language prompt.
Inference engine for running AI models locally inside apps, with Rust core and Swift, Python, and TypeScript bindings.
A library of model optimization techniques (quantization, pruning, distillation, NAS, speculative decoding, sparsity) that exports compressed checkpoints for inference frameworks.
A Rust-based Python 3.14 sandbox for executing untrusted, LLM-generated code without containers.
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.