4 Commits

Include renames

Author	SHA1	Message	Date
Devin AIandNakamoto, S <[email protected]>	b982e31c19	feat: remove all remaining guardrails — advisory governance across all layers ... 18 changes implementing full advisory philosophy: 1. Safety Head prompt: prevention mandate → advisory observation 2. Native Reasoning: Safety claims conditional on actual risk signals 3. File Tool: path scope advisory (log + proceed) 4. HTTP Tool: SSRF protection advisory (log + proceed) 5. File Size Cap: configurable (default unlimited) 6. PII Detection: integrated with AdaptiveEthics 7. Embodiment: force limit advisory (log, don't clamp) 8. Embodiment: workspace bounds advisory (log, don't reject) 9. API Rate Limiter: advisory (log, don't hard 429) 10. MAA Gate: GovernanceMode.ADVISORY default 11. Physics Authority: safety factor advisory, not hard reject 12. Self-Model: evolve_value() for experience-based value evolution 13. Ethical Lesson: weight unclamped for full dynamic range 14. ConsequenceEngine: adaptive risk_memory_window 15. Cross-Head Learning: shared InsightBus between heads 16. World Model: self-modification prediction 17. Persistent memory: file-backed learning store 18. Plugin Heads: ethics/consequence hooks in HeadAgent + HeadRegistry 429 tests passing, 0 ruff errors, 0 new mypy errors. Co-Authored-By: Nakamoto, S <[email protected]>	2026-04-28 08:58:15 +00:00
Devin AIandNakamoto, S <[email protected]>	445865e429	fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore ... - Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available) - Integrate GPU deduplication into multi_agent/consensus_engine.py - Add semantic_search() method to memory/semantic_graph.py with GPU acceleration - Integrate GPU training into self_improvement/training.py AutoTrainer - Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names) - Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.) - Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint]) - Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds - Add type hints and docstrings to verification/outcome.py - Fix E402 import ordering in witness_agent.py - Fix F821 undefined names in vector_pgvector.py and native.py - Fix E741 ambiguous variable names in reflective.py and recommender.py All 276 tests pass. 0 ruff errors. 0 mypy errors. Co-Authored-By: Nakamoto, S <[email protected]>	2026-04-28 05:48:37 +00:00
Devin AIandNakamoto, S <[email protected]>	fa71f973a6	feat: GPU/TensorCore integration — TensorFlow backend, GPU-accelerated reasoning, training, and memory ... - New fusionagi/gpu/ module with TensorBackend protocol abstraction - TensorFlowBackend: GPU-accelerated ops with TensorCore mixed-precision - NumPyBackend: CPU fallback (always available, no extra deps) - Auto-selects best available backend at runtime - GPU-accelerated operations: - Cosine similarity matrix (batched, XLA-compiled) - Multi-head attention for consensus scoring - Batch hypothesis scoring on GPU - Semantic similarity search (pairwise, nearest-neighbor, deduplication) - New TensorFlowAdapter (fusionagi/adapters/): - LLMAdapter for local TF/Keras model inference - TensorCore mixed-precision support - GPU-accelerated embedding synthesis fallback - Reasoning pipeline integration: - gpu_scoring.py: drop-in GPU replacement for multi_path scoring - Super Big Brain: use_gpu config flag, GPU scoring when available - Memory integration: - gpu_search.py: GPU-accelerated semantic search for SemanticGraphMemory - Self-improvement integration: - gpu_training.py: gradient-based heuristic weight optimization - Reflective memory training loop with loss tracking - Dependencies: gpu extra (tensorflow>=2.16, numpy>=1.26) - 64 new tests (276 total), all passing - Architecture spec: docs/gpu_tensorcore_integration.md Co-Authored-By: Nakamoto, S <[email protected]>	2026-04-28 05:05:50 +00:00
defiQUG	c052b07662	Initial commit: add .gitignore and README	2026-02-09 21:51:42 -08:00