Python CLI and agent plugin that audits whether an AI agent does the job it is supposed to do, using adversarial and operational tests.
Builds a queryable knowledge graph from a codebase and its docs, PDFs, and configs, driven by a /graphify skill for AI coding assistants.
Toolkit that generates agent-usable command-line interfaces for existing software, plus a hub for installing community-built CLIs.
Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
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.
Lets AI agents and test suites drive real Android devices from natural-language instructions, with logcat capture and MCP integration.
Framework where coding agents discover and refine robot sensorimotor skills as reusable code in place of gradient-based training.