# JouleClaw — Energy-Optimized AI Runtime The substrate for AI that costs Joules, not tokens. **Capability per Joule, not capability per parameter.** ## What JouleClaw is JouleClaw is a pure-Rust, omni-modal AI runtime + harness + agentic layer governed by Transaction Science as an open standard (5th in the open-standards quartet, alongside [OpenPay](../openpay/), [Smart Byte](../smart-byte/), [EOC](../eoc/), and [WAI](../wai/)). Every operation JouleClaw performs walks an explicit energy-tiered cascade, top to bottom, stopping at the first stage that closes the query: | Tier | Name | Cost class | What runs here | |------|-------------|------------------|-----------------------------------------------------------| | L0 | **Cache** | picojoules | Content-addressed cache hits | | L1 | **Lawful** | nanojoules | Deterministic, pre-compiled primitive (text/code only) | | L2 | **Embed** | sub-millijoules | Matryoshka embeddings + nearest-neighbor + hybrid search | | L3 | **Model** | joules | Local SSM / ternary / multimodal / diffusion / etc. | | L4 | **Wire** | tens of joules | Remote frontier RPC (escape hatch only) | L1 (Lawful) is only meaningful for text and code modalities. For image, audio, video and 3D generation, the cascade collapses to L0 / L2 / L3 / L4 — the energy savings come from caching plus dispatch to the cheapest model that meets the quality bar. ## Why JouleClaw exists The mainstream "agentic AI" ecosystem treats inference as the entry point. Every state shift, every tool call, every routing decision runs through a 70-billion-parameter stochastic engine, burning kilojoules to do work that deterministic compute or a hot cache could resolve for microjoules. JouleClaw inverts the default. Inference is the **last resort**, not the first. Frozen model weights are **less trustworthy than current world state**; fresh, provenance-stamped retrieval beats synthesis from training cuts. Every operation is metered in microjoules where the hardware permits it, and in millijoules where it doesn't — the spec is honest about the floor on every platform. The thermodynamic circuit breaker is the safety mechanism. Set an energy budget; when measured consumption exceeds the budget, the breaker trips and the operation halts. Hallucination loops cannot survive an honest joule ledger. ## What's here | Path | Contents | |-----------------------------------|-------------------------------------------------------------| | [`SPEC.md`](SPEC.md) | JouleClaw v1 spec — cascade tiers, energy contract, receipt | | [`CHARTER.md`](CHARTER.md) | Stewardship pattern (shared across open-standards) | | [`jouleclaw-rs/`](jouleclaw-rs/) | Apache-2.0 Rust reference implementation | | [`spec/`](spec/) | Tier specifications, energy provenance, receipt format | | [`conformance/v1/`](conformance/) | Signed wire vectors for cross-implementation verification | ## Reference implementation `jouleclaw-rs/` is the Apache-2.0 reference implementation in Rust. It runs on Apple Silicon (M3/M4/M5 with UMA + Metal 4 Tensor APIs), AMD Strix Halo / Ryzen AI Max, Intel Lunar Lake, NVIDIA Jetson, and discrete NVIDIA / AMD GPUs. It is omni-modal: text, code, vision, audio, video, image diffusion, 3D Gaussian splatting, and cross-modal fusion all dispatch through the same energy-tiered cascade. The MCP tool surface is a **JCP consumer**: `jouleclaw-jcp` wraps any `jouleclaw-mcp` metered tool so every dispatch is decided by the JCP runtime against a signed, metered Grant before a byte reaches the tool — the tool's identity is the content-addressed resource, the call's energy estimate is debited from the grant's joule budget, and every decision (allow and deny alike) seals as a JCR-1 receipt. An injected instruction can name an ungranted tool; it cannot make the gate dispatch it. ## Status v0.1.0 reference implementation in active development. The spec is draft status. Cross-implementation conformance vectors will land with v1.0.0. ## License - **Code:** Apache-2.0 (see [`LICENSE`](LICENSE)) - **Spec text:** CC-BY-4.0 (see [`LICENSE-SPEC`](LICENSE-SPEC))