- AGENTS.md: build instructions for AI coding agents - docs/: AICC core spec copy, JSON schema, testbed design notes - scripts/: setup.sh, BUILDLOG.md - README.md: overview and reading order
38 lines
1.8 KiB
Markdown
38 lines
1.8 KiB
Markdown
# aicc-capsule — Reference Testbed
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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.
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## Goal
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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.
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## Status
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**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.
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## Layout
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```
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aicc-capsule/
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AGENTS.md # instructions for AI coding agents (opencode, claude, etc.)
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README.md # this file
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docs/
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aicc-core.md # AICC Protocol spec, v0.1 (copy from AICC-Protocol repo)
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aicc.schema.json # JSON Schema for all AICC messages
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testbed-design.md # design notes for the testbed itself (see below)
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scripts/ # build/run/dev scripts
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testbed/ # the testbed source (empty until built)
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```
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## Reading order for an agent
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1. `AGENTS.md` — what to build, constraints, definition of done
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2. `docs/aicc-core.md` — the protocol contract (sections 1–5 are essential)
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3. `docs/testbed-design.md` — how the testbed maps onto the protocol
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4. `~/Desktop/aicc-py` — the SDK to build on (Bridge, AICCClient, transports)
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## Related repositories
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- Spec: https://github.com/emil28092005/AICC-Protocol
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- Python SDK: https://github.com/emil28092005/aicc-py (local checkout: `~/Desktop/aicc-py`)
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