Rules

> `anml-exp` is a *pip-installable* anomaly-detection playground with locked > dependencies (`uv.lock`), artefact registry, strict dataset hashing, and a > structured hardware descriptor in benchmark outputs.

This project implements a chess coaching application with AI agents that can analyze chess positions, suggest moves, and provide strategic advice. The system combines a modern React frontend with a Python-based AI agent backend.

OpenCV prints to stderr which corrupts MCP stdio. Always suppress stderr at fd level BEFORE importing cv2 (see `_suppress_opencv_stderr()` in src/optic_mcp/server.py).

oteam is a Python package for coordinating OpenCode agents around a shared git repo. Agents self-assign tickets, plan their work, and push changes with safety checks.

This document defines how autonomous engineering agents should operate within the `eo-processor` repository. It covers: 1. Core mission and constraints 2. Repository awareness 4. How to add functionality (Rust + Python)

This guide shows how to take a Python app built with the OpenAI Agents SDK and add the TraceCore evaluation loop without rebuilding the app from scratch.

This guide shows you how to create specialist agents for any domain. No subclassing, no boilerplate — just `Agent(name=..., system_prompt=..., tools=..., tool_map=...)`.

This is a LiveKit Agents project. LiveKit Agents is a Python SDK for building voice AI agents. See @README.md for more details on the application itself. The following is a guide for working with this project.