A substrate-level architecture for voice AI: commit state once, hash-lock it, and let downstream agents consume K read-only.
KASSA explores the K-Governed Voice Architecture, a commitment-kernel approach to voice AI orchestration. The core thesis is simple:
Commit state before intelligence branches.
Instead of passing caller intent through a sequence of agents that reinterpret each other's lossy outputs, KASSA extracts a canonical state representation K, binds its projections with hashes, and validates downstream work against that fixed root.
Open the browser demo:
The demo compares:
- S1: standard sequential cascade
- S2: coordinated intermediate state
- S3: K-governed parallel fanout
The page runs without credentials using cached demo data. To execute live model calls, paste an Anthropic API key into the demo panel; it is stored in sessionStorage only. The earlier v6 demo remains archived.
| Path | Purpose |
|---|---|
demo/ |
Self-contained HTML/JS visual demos for latency and drift |
harness/ |
Commitment Conservation Harness for recursive stability experiments |
schema/ |
K-bound projection schema and state contract |
docs/ |
Architecture notes, reviewer response, conservation paper, deep wiki |
images/ |
Diagrams for S1/S2/S3 and architecture visuals |
.planning/codebase/ |
Technical handoff notes and codebase map |
Current voice AI often behaves like this:
audio -> STT -> partial text -> agent A -> agent B -> agent C -> response
Each stage reinterprets a degraded signal. Drift compounds with the number of handoffs.
KASSA proposes:
audio -> extract K -> hash-lock K -> read-only fanout -> validate against K
That changes the failure mode:
- Drift becomes bounded against a shared root instead of compounding through a chain.
- Agents can run in parallel because they do not depend on each other's prose.
- Governance can validate outputs against a fixed commitment state.
- Multimodal channels can be preserved independently: text, prosody, temporal behavior, affect.
The public schema models K as independently hashed channels bound by a parent hash:
K_text lexical content
K_pros prosodic structure
K_tmp temporal behavior
K_affect acoustic affect markers
See schema/K_bound_projections_schema.json and schema/README.md.
Install:
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtRun a quick single-signal comparison:
export OPENAI_API_KEY=...
python harness/quick_demo.py "The user must provide a valid email address before proceeding."Run the convergence harness:
export OPENAI_API_KEY=...
python harness/run_convergence_v2.pyThe harness is a public reproducibility scaffold. It does not disclose protected production-layer MO§ES™ internals. See harness/ip_boundary.md and harness/README.md.
KASSA is not a generic chatbot wrapper, and the public harness is not the full production enforcement substrate.
The public layer demonstrates:
- recursive transformation stress testing
- public proxy commitment extraction
- comparison of baseline, compression, and gated conditions
- measurable drift/stability behavior over loops
The protected layer remains outside this repo:
- internal production MO§ES™ implementation
- canonical enforcement substrate
- non-public commitment algebra and deployment machinery
Latency numbers in single-turn model demos can be compressed by provider-side KV caching. The observed S1/S3 gap in the demo should be treated as a floor, not a production ceiling. In multi-turn production calls, sequential context bloat should widen the gap.
- Conservation Law paper:
docs/CONSERVATION_LAW_PAPER.md - Deep wiki:
docs/DEEP_WIKI.md - Build doc:
docs/K-governed-voice-architecture-build-doc.md - Public IP boundary:
harness/ip_boundary.md
Business Source License 1.1. Source-available for non-production use. Commercial use requires a separate license from Ello Cello LLC.
Patent pending:
- U.S. Serial No. 63/877,177 (Provisional)
- U.S. Serial No. 19/426,028 (Utility)
MO§ES™ is a trademark of Ello Cello LLC (USPTO IC 042).
See LICENSE for the full license, including the Lineage Custody Clause.
© 2026 Ello Cello LLC. All Rights Reserved.