Research
"97% of agent projects fail to scale beyond isolated demos." — IDC
The Problem
As Multi-Agent Systems grow from 1 agent to 50, they hit a wall: coordination costs grow super-linearly. Current frameworks focus on connecting agents (MCP) and orchestrating them (LangGraph)—but nobody is solving how they coordinate at scale.
The result? Agents interrupt each other, miss handoffs, contradict themselves, or proceed without approval.
The Solution: Harmonic Coordination Theory
HCT provides the missing coordination semantics layer. Borrowing from musical ensemble coordination—which has solved the problem of coordinating 100+ performers without central state for centuries—HCT introduces:
- 7 Coordination Signals: Cue, Fermata, Attacca, Vamp, Caesura, Tacet, Downbeat
- 6-Layer Architecture: From Reference Frame to Listening feedback
- 15 Diagnostic Patterns: Named failure modes with solutions
Get Started
go get github.com/stefanwiest/hct-mcp-signals/go # Go
pip install hct-mcp-signals # Python
npm install @hct-mcp/signals # Node.js
cargo add hct-mcp-signals # Rust
Deep Dives
| Resource | Focus |
|---|---|
| The HCT Matrix | 70+ SOTA techniques mapped to HCT layers |
| Patterns Library | Diagnostic patterns for agent failures |
Papers
Papers
Harmonic Coordination Theory
A musical ontology for multi-agent systems. Introduces the 6-layer HCT stack and signal theory.
The Genesis Platform
Reference implementation of HCT. Orchestrator architecture, SVRL loop, and benchmarks.
MAS 2025 Landscape Survey
Comprehensive analysis of the multi-agent systems landscape. Maps the Coordination Gap.
Glass Box Evolution
Auditable prompt optimization with Git. Transparent evolution you can 'git blame'.
Open Source
hct-mcp-signals
The coordination layer for MCP. Available on PyPI, npm, crates.io, and Go.
Genesis Project
Research repository: papers, benchmarks, patterns, and HCT-Core implementation.
HCT Patterns Library
15 diagnostic patterns for multi-agent coordination failures.