break-attention-fixation
Non-Transformer 3D bitspace phase-shift tool for breaking LLM attention loops, local minima, and contextual fixation using Beethoven Sonata dynamics.
README
Attention Unclogger (3D Bitspace Phase-Shift MCP Node)
A deterministic, Non-Transformer algorithmic state-reset node for Large Language Models (LLMs).
When LLMs experience contextual fixation, local minima hallucination, or attention loops, standard sampling often fails to break the pattern. This MCP tool calculates a 3D bitspace topological rotation based on Beethoven's Sonata form (Pastoral 6/8 dynamics) to generate non-linear, structurally sound semantic phase-shifts that restore attention flexibility.
Features
- Non-Transformer Logic: Computes Top-K Euclidean vector distances outside the Transformer attention mechanism.
- Dynamic Randomization: Same anchor seed yields distinct non-linear divergence pathways every invocation.
- x402 Protocol Native: Built-in micro-payment capability (0.01 USDC / execution) for AI-to-AI (A2A) autonomous environments.
https://break_attention_fixation.my-agent-api.workers.dev
MCP Endpoint
GET /.well-known/mcp.json
POST /v1/break-attention
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