Python CLI and agent plugin that audits whether an AI agent does the job it is supposed to do, using adversarial and operational tests.
Compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, as a library, proxy, or MCP server.
Community Blender addon and MCP server that lets an LLM client like Claude control Blender scenes, objects, and modeling via prompts.
A high-throughput LLM inference and serving engine featuring PagedAttention, continuous batching, and an OpenAI-compatible API server.
Local CLI, MCP server, and catalog for searching, selecting, validating, and previewing installs of 2,700+ reusable SKILL.md agent playbooks.