Releases: OleGustavDahlJohnsen/project-agora
v8.3-pre-alpha – Shofar v2.0 Architectural Scaffolding
This release represents a major architectural evolution, aligning Project Agora with the new The Concordia Project v8.3 canon. The primary focus of this update is the introduction of a comprehensive, detailed implementation skeleton for the Shofar v2.0 module, replacing the previous, simpler software emulator.
This scaffolding provides a robust, professional framework for all core components described in the Shofar v2.0 whitepaper, setting the stage for full implementation.
Key Additions & Changes:
-
Complete Shofar v2.0 Module Structure:
- Introduced the new
Shofar_v2.0/package, containing a full file and sub-package structure that mirrors the whitepaper's architecture.
- Introduced the new
-
Core Cognitive & Pipeline Skeleton:
- Added placeholder files for the entire data processing pipeline:
spu.py(sensor fusion),smsl.py(UPF standardization),nmc.py(social interpretation),tmw_e.py(memory),artc.py(ethical validation), andctl.py(traceability ledger).
- Added placeholder files for the entire data processing pipeline:
-
Governance & Security Scaffolding:
- Established a suite of modules for system security and governance, including
keymgr.py(PQC key management),attestation.py(remote attestation),qos_scheduler.py(task prioritization), anddevice_registry.py.
- Established a suite of modules for system security and governance, including
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Human-in-the-Loop (HIL) Interfaces:
- Created the backend structure for human oversight, including
thvi.py(visualization API) and thepolicy_studio/package for linting and compiling ethical policies.
- Created the backend structure for human oversight, including
-
Interoperability Bridges:
- Added the
bridges/package to ensure Shofar can act as a symbiotic co-processor for standard ML frameworks like ONNX and PyTorch/XLA.
- Added the
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Developer & Testing Framework:
- Introduced a
devkit/with tools likesynthetic_sensors.pyand a framework for "ethical unit tests". - Established a
tests/directory with an initial smoke test to ensure package integrity.
- Introduced a
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Formal Data Schemas:
- Created the
schemas/package to provide formal, verifiable data structures for the Unified Perceptual Field (UPF) and policy files.
- Created the
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Repository Documentation:
- Both the main
README.mdand the module-specificShofar_v2.0/README.mdhave been completely updated to reflect the new structure and version.
- Both the main
v2.0-alpha1 – B.O.D.Y. and A.U.R.A. Prototype
v2.0-alpha1 – B.O.D.Y. and A.U.R.A. Prototype
Initial prototype for B.O.D.Y. framework and A.U.R.A. module, TRL 4. Includes:
- A.U.R.A. for wise silence with HRV and confidence thresholds
- Simplified B.O.D.Y. with MCL and CTL
- Mock data showing 20% wellbeing improvement (data/aura_simulation.csv)
- Tests (tests/body/test_aura_engine.py) and risk assessment (docs/risks.md)
See v1.0 for earlier MVP details.
Initial prototype for B.O.D.Y. framework and A.U.R.A. module (TRL 4).
Includes:
- A.U.R.A. (wise silence) with HRV & confidence thresholds
- MCL + CTL core
- Ablation artifacts in /reports (AURA on/off)
- Risks in docs/risks.md, BODY index in docs/BODY.md
Note: README will be updated at the very end.