Rules

A comprehensive guide to all 9 voice agents in the HiyaDrive orchestration system.

AI coding agent instructions for project conventions and guidelines.

AI coding agent instructions for project conventions and guidelines.

`srchd` orchestrates AI agents through a publication/review system. Agents collaborate to solve complex problems by publishing papers, reviewing each other's work, and citing relevant publications.

Thread-based version control for conversational coding. Wraps git, treating conversation threads as the primary unit of change.

Source code lives under `src/`, with feature UI in `src/app`, domain logic in `src/domain`, and server utilities in `src/server`. Shared test helpers sit in `src/test`, and Playwright scenarios in `e2e/`. Supporting assets reside in `public/`, documentation drafts in `docs/`, experimentation notebooks in `metrics/`, and automation helpers in `scripts/` and `plans/`. The path alias `@` resolves to `src/`; prefer it over relative imports to keep layering explicit.

No automated tests are configured in this project.

Guide for AI agents working in this repository. **See also:** [DEVELOPMENT.md](DEVELOPMENT.md) - Development best practices and coding standards for AI-assisted development.

Instructions for AI coding agents contributing to this repository.

Refine `Premier_Evolution_Chunk1_Updated.pptx` into a brand-compliant, polished deck by applying deterministic edits driven by `CHANGE_REQUESTS.md`. Always produce a NEW output PPTX per run.

**Version:** (e.g., 0.6.0 - Increment after cleanup) **Agent Type:** Core Infrastructure Library / Message Bus SDK To provide a reliable, asynchronous, Redis Streams-based message bus for inter-agent communication within the AG1 ecosystem. It defines core message structures (Envelope), publishing/subscribing mechanisms, and RPC-like patterns.

AI coding agent instructions for project conventions and guidelines.

This is the master repository for curated Claude Code workflow collections.

AI coding agent instructions for project conventions and guidelines.

This document gives AI agents the minimum, accurate context needed to work productively in this repository. It consolidates structure, guardrails, build/test rules, and contribution requirements from project docs.

Stack: C# / .NET 8 / WPF / WPFUI / LiteDB Follows [MCAF](https://mcaf.managed-code.com/)

**AI Rules Sync (AIS)** is a CLI tool for synchronizing, managing, and sharing AI agent rules across projects using symbolic links.

Build a **single TypeScript codebase** that runs interactive apps on **MCP Apps and ChatGPT** via a shared tool + UI model. Optimize for **strict type-safety**, **clean public APIs**, and **backwards-compatible changes** across packages.

_An overview of the current repository and its related projects, generated by [AgentPrimer](https://github.com/deanthecoder/AgentPrimer)._

This project uses **bd (beads)** for issue tracking. Run `bd prime` for workflow context, or install hooks (`bd hooks install`) for auto-injection. For full workflow details: `bd prime`

This document provides guidance for any AI agent working with code in this repository. Agents are expected to contribute to the project effectively and safely, based on the information provided below.

These instructions are for AI assistants working in this project. Always open `@/openspec/AGENTS.md` when the request: Use `@/openspec/AGENTS.md` to learn: Keep this managed block so 'openspec update' can refresh the instructions.

⛔ **STOP**: Do not start any work before choosing a subagent. Do not directly work on the task. No task is too trivial to not use an agent. The project has subagents with clear instructions to handle any task.