# aicc-capsule — Reference Testbed

Reference implementation of the [AICC Protocol](https://github.com/emil28092005/AICC-Protocol) in a 3D environment: an AI-controlled capsule in a room. This is the "hello world" of the protocol — a working end-to-end vertical that proves the spec is implementable and gives other projects a template to copy.

## Goal

A 3D room with a capsule that an LLM agent controls through AICC sensor/actuator tools. The agent perceives the world via tools (`vision`, `proprioception`, `hear`), reasons, and acts (`move`, `turn`, `look_at`, `interact`). No pixel-clicking, no engine-specific hooks — pure protocol.

## Status

**Not started.** This directory is the context pack for building it. The spec (core.md) and JSON Schema are in `docs/`. The Python SDK (`aicc-py`) is a sibling project at `~/Desktop/aicc-py` — the testbed should build on top of it.

## Layout

```
aicc-capsule/
  AGENTS.md           # instructions for AI coding agents (opencode, claude, etc.)
  README.md           # this file
  docs/
    aicc-core.md      # AICC Protocol spec, v0.1 (copy from AICC-Protocol repo)
    aicc.schema.json  # JSON Schema for all AICC messages
    testbed-design.md # design notes for the testbed itself (see below)
  scripts/            # build/run/dev scripts
  testbed/            # the testbed source (empty until built)
```

## Reading order for an agent

1. `AGENTS.md` — what to build, constraints, definition of done
2. `docs/aicc-core.md` — the protocol contract (sections 1–5 are essential)
3. `docs/testbed-design.md` — how the testbed maps onto the protocol
4. `~/Desktop/aicc-py` — the SDK to build on (Bridge, AICCClient, transports)

## Related repositories

- Spec: https://github.com/emil28092005/AICC-Protocol
- Python SDK: https://github.com/emil28092005/aicc-py (local checkout: `~/Desktop/aicc-py`)