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# 🤖 Conductor Agent Guidelines Conductor orchestrates parallel AI coding agents (Claude Code, Codex, Cursor, OpenCode) in isolated workspaces with automatic branch management, diff review, and merge workflows. ## Key Concepts - **Workspaces** — Each task gets its own isolated workspace with a separate branch, working tree, and agent session - **Harnesses** — Claude Code, Codex, Cursor, and OpenCode are supported agent runtimes - **MCP** — Agent-specific MCP configs apply per harness (Claude Code uses `.mcp.json`, Codex uses `~/.codex/config.toml`, Cursor uses `.cursor/mcp.json`) ## Configuration ## Token Efficiency - Keep responses concise and actionable; lead with conclusions, file paths, and verification. - Scope searches and file reads to the task. Limit command output with filters and line ranges. - Use `~/.local/bin/rtk` for supported shell commands when available; bypass it with `RTK_DISABLED=1` when raw output is required. - Prefer `codebase-memory-mcp` graph tools for structural code discovery when available. - Load supplemental guidance only when the task requires it. Start a fresh session when switching to unrelated work. ## Learning Recording Read `~/.ai-tools/MEMORY.md` and `~/.ai-tools/agent-memory.md` only when deciding whether or where to persist a learning. After fixing a bug (confirmed by human), introducing a new tech choice, or encountering something important, ask the user: > "Would you like me to record this as a learning?" If yes: - **qmd** (durable) — project-specific gotchas, architecture decisions, conventions - **agentmemory** (session) — transient context only the current session needs - Project settings: `.conductor/settings.toml` in repo root - User settings: `~/.conductor/settings.toml` - Local overrides: `.conductor/settings.local.toml` See the full [Conductor docs](https://www.conductor.build/docs) for details.