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Converts an input image into 3D meshes, Gaussian splats, and audio files using Claude skills and external AI APIs.
Archives experiments of AI agents autonomously tuning optimizers, schedules, and hyperparameters to reach target validation loss in fewest steps on a small LM benchmark.
Provides AI agent toolkit with coding CLI, unified LLM API, TUI/web UI libs and Slack bot support.
Automates articulated 3D asset creation by prompting LLMs to generate executable Python code defining parts, geometry and joints.
Streams live traces of coding agent actions including tokens and tool calls to a local UI at localhost:5899.
Supplies AI coding agents with pre-indexed semantic code graphs via local MCP server for instant queries and fewer tokens.
Extracts PyTorch model graphs, converts operations to einsum, and performs hardware-aware performance analysis.
Searches for symbolic expressions which optimize a particular objective using high-performance symbolic regression in Python and Julia.
Integrates Ghostty into a macOS terminal with vertical tabs, sidebar metadata, OSC notifications, and in-app browser for AI coding agents.
Orchestrates model calls, tools, sandboxes and sessions to run autonomous AI agents in TypeScript across runtimes.