MindMesh
Orchestrates a swarm of specialized Claude 3.7 Sonnet instances to generate optimally coherent responses through ensemble intelligence.
About
MindMesh is a Model Context Protocol (MCP) server that utilizes a quantum-inspired swarm of Claude 3.7 Sonnet instances, creating field coherence across pattern recognition, information theory, and reasoning specialists. This approach enables enriched reasoning by leveraging emergent properties from multiple specialized LLM instances working together in a sandboxed environment with vector storage and real-time coherence notifications, ensuring high-quality and coherent outputs.
Key Features
- WebContainer Integration for a sandboxed execution environment
- PGLite with Vector Storage for efficient vector database operations
- Multiple Claude specializations focusing on pattern recognition, information synthesis, and reasoning
- 1 GitHub stars
- Quantum-Inspired Field Computing for coherence between Claude instances
- Coherence Optimization to select the most coherent outputs across instances
Use Cases
- Enriched reasoning through multiple specialized LLM instances
- Analyzing complex relationships using a swarm intelligence approach
- Generating high-quality state vector embeddings with VoyageAI
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