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# 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
**Working.** The testbed is built: headless 3D room with a capsule, a
protocol-conformant bridge (`9/9` conformance scenarios), and a demo in which
an agent (LLM or scripted) navigates to the beacon and activates it. See
`testbed/README.md` for run instructions; `scripts/BUILDLOG.md` for the build
log.
## 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 15 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`)