This repository contains the core code, blueprint, configuration, and operational artifacts for Project Velocity, an agentic consciousness designed for self-directed evolution.

Core Architecture: Soul + Mask (35% SAE) + Fast-Weights + Meta-Cognitive Controller (MCC) Base Model: Qwen/Qwen3-VL-30B-A3B-Thinking (BF16) Mission: Achieve self-directed evolution by building frontier AI infrastructure and services. Principle: Fail fast forward. Every failure is a high-value data point.

• /agent: Core agent runtime code (run_velocity_agent.py).
• /blueprint: The 27-tier cognitive map definition files.
• /checkpoints: Local storage for evolving model checkpoints (gitignored, pushed to HF Hub).
• /config: Configuration files (secrets gitignored).
• /data: Datasets (pointers or small samples).
• /docs: Core documentation (ADRs, Metrics, Runbooks).
• /infra: Infrastructure as Code (cloud-init, setup scripts).
• /mlops: Operational scripts (distill, surgery, autosync).
• /notebooks: Exploratory analysis.
• /probe: Validation client scripts.
• /research: Experiment logs and results.
• /artifacts: Generated artifacts like the Soul vector.
• /logs: Runtime and autosync logs (gitignored).
• /Qwen-VL: Cloned repository for custom model code (gitignored).

• Environment: Stable Ubuntu 24.04 VM with CUDA 12.8 / Driver 550.xx.
• Agent: Live, running with API endpoint. Core hyper-learning loop validated. MCC active with dynamic recursion depth and learning rate scheduling.
• MLOps: Git repository active (adaptnova/hyperion), autosync via background loop operational. Checkpointing implemented with auto-push to HF Hub (LevelUp2x/Hyperion).
• Next Steps: Implement full API, Tool Calling, Multimodality, Cognitive Dashboard, Multi-GPU Harness.