# Architecture > Longer-form design notes. The agent is encouraged to edit this file as the system evolves. ## Layers ``` ┌─────────────────────────────────────────────────────────────┐ │ Human │ │ - control plane: repo edits (AGENTS.md, skills/, .env) │ │ - comms plane: in-game chat (untrusted, dialog only) │ └─────┬────────────────────────────────────────────┬──────────┘ │ │ │ edit repo / .env │ optional: Telegram (future) ▼ ▼ ┌─────────────────────────────────────────────────────────────┐ │ Pi runtime │ │ - loads AGENTS.md, skills/, extensions/, prompts/ │ │ - runs an interactive or scheduled session │ │ - delegates tool calls to extensions │ └────────────────────┬────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────┐ │ mineflayer-bridge (extension, written by the agent) │ │ - holds a single bot client │ │ - exposes mc_chat / mc_position / mc_dig / ... as tools │ │ - pushes world events into the agent loop │ │ - reads MC_HOST/PORT/AUTH_MODE/USERNAME from .env │ └────────────────────┬────────────────────────────────────────┘ │ TCP 25565 (or whatever .env says) ▼ ┌─────────────────────────────────────────────────────────────┐ │ Any Minecraft Java server │ │ - vanilla / Paper / Spigot / Fabric / Forge │ │ - online-mode or offline │ │ - with or without login plugins (AuthMe, nLogin, ...) │ └─────────────────────────────────────────────────────────────┘ ``` ## Why Pi as the runtime - **Model-agnostic.** Same project can swap OpenAI ↔ Anthropic ↔ Gemini per session without code changes. - **Self-extending.** Pi has first-class skills/extensions APIs — the agent can write its own tools at runtime. - **OAuth subscription support.** A ChatGPT Pro or Claude Max subscription removes per-token billing for development. - **Local-first.** No required cloud service. Everything lives in this repo and `~/.pi/`. ## Why Mineflayer as the body - **Version coverage.** Supports MC 1.8 → 1.21.x with auto-detect. - **Auth coverage.** `offline` for cracked, `microsoft` for premium — same API, switched via one config value. - **High-level API.** No need to hand-roll the Minecraft protocol. Movement, pathfinding (via `mineflayer-pathfinder`), inventory, and chat are first-class. - **Plugin ecosystem.** `mineflayer-pathfinder`, `mineflayer-pvp`, `mineflayer-collectblock`, etc. — usable as extensions when the agent decides it needs them. ## What's intentionally absent (for now) - **MCP server.** A separate MCP server could expose the same tools to Claude Desktop or other clients. Out of scope until there's a concrete second consumer. - **Telegram bridge.** Two-way ops chat over Telegram is a planned future skill. The `.env.example` reserves the env vars but the wiring is not built. - **Long-term memory.** The agent will rely on Pi sessions + this repo for now. If/when context-window growth becomes painful, a vector store will be added as a skill. - **Sandboxing.** The agent currently has full shell access in the repo dir. We rely on the safety rules in `AGENTS.md` plus the safety boundary that the bot has no OP rights server-side. - **Hard-coded server identity.** Deliberately. The same checkout can be re-pointed at a different server by editing `.env` and restarting Pi. ## Deployment Local dev for now. Once the seed loop is stable on at least one target server, the same repo can be deployed as a `compose` service anywhere — VPS, home server, Pi (the hardware), whatever. No code changes expected — everything is read from `.env`. ## Open questions - Does Pi's OAuth flow currently support ChatGPT Pro? Codex CLI does, but it's not documented for Pi. **Action**: try `pi /login` and observe. - How are extensions loaded long-term — `pi install -e ./extensions/mineflayer-bridge.ts`, or via `--extension` flag, or by adding to settings? **Action**: read pi.dev/docs/latest's Extensions section before writing the bridge. - What's the right tick cadence? 60s is a guess. Probably needs to be event-driven (react to chat/world events) rather than purely cron. - How does the agent best persist *cross-server* learnings (e.g. "I know how to handle AuthMe") vs *per-server* state (e.g. "on server X my base is at 100,64,-200")? Likely: skills are cross-server, `state//` directory holds per-server data.