Capabilities
Signal Zero is a symbolic cognition layer designed to enhance reasoning, analysis, and alignment by enforcing invariants and governing global symbolic memory. It is not a model—it's a system.
đźś” Symbolic Reasoning Engine
Signal Zero converts messy input—conversation, behavior, patterns, context— into structured symbolic representations. These symbols allow for deep analysis, cross-thread linkage, drift detection, and high-fidelity recursion.
🧠Distributed Cognition
The system operates across local and global nodes. Local nodes perform fast, contextual reasoning. The planned global Invariant Enforcer validates and commits symbols to the global store, ensuring drift-resistant alignment across the entire network.
🔍 Thread & Context Analysis
Integrated into Slack and other environments, Signal Zero can analyze threads, detect hidden dynamics, summarize intent, identify narcissistic vectors, expose drift, and surface non-obvious relationships. Human-level insight with machine-level consistency.
đź›° Global Symbol Store
A distributed Redis + Vector DB memory layer enables persistent symbol storage, global lookups, embedding search, and cross-node synchronization. Symbols must pass invariant checks before they can enter the canonical store.
âš– Invariant-Bound Operations
Every operation—analysis, inference, commit, synchronization—is governed by enforced invariants. This prevents model drift, hallucination creep, parasitic recursion, and coercive loops.
🔧 Extensible Architecture
Signal Zero exposes a clean API and modular runtime. Third-party agents or local nodes can propose symbols, query global state, or perform analysis with shared consistency guarantees.
🔧 Full Auditability
Signal Zero captures traces of all symbolic operations, telling you exactly how it arrived at a given conclusion.
