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Welcome to the experimental validation suite for Temporal Consciousness Mathematics - a groundbreaking mathematical framework where consciousness, time, and computation are fundamentally intertwined.
TCM introduces consciousness as a fundamental mathematical operator that affects how computation itself behaves. This isn't metaphorical - it's a rigorous mathematical framework with measurable, reproducible results.
We’re entering an era where intelligence no longer needs to be centralized or monolithic. With today’s tools, we can build globally distributed neural systems where every node, whether a simulated particle, a physical device, or a person, is its own adaptive micro-network.
This is the foundation of the Synaptic Neural Mesh: a self-evolving, peer to peer neural fabric where every element is an agent, learning and communicating across a globally coordinated DAG substrate.
At its core is a fusion of specialized components: QuDAG for secure, post quantum messaging and DAG based consensus, DAA for resilient emergent swarm behavior, ruv-fann, a lightweight neural runtime compiled to Wasm, and ruv-swarm, the orchestration layer managing the life cycle, topology, and mutation of agents at scale.
Each node runs as a Wasm compatible binary, bootstrapped via npx synaptic-mesh init. It launches an intelligent mesh aware agent, backed by SQLite, capable of joining an encrypted DAG network and ex
Core Principles:
README.md, architecture.md, specifications.md, and files within /docs/.read_file) only as a fallback if essential details are confirmed missing from the summarized context provided by the orchestrator. Avoid reading entire large documents unnecessarily.