Built a multi-agent system that tracks stability, trust, and internal disagreement (Swarm Hive)
Here’s a snapshot from a system I’ve been building:
Stability: 1.00Agents: 6Trust: 0.99Blockers: operator\_ratification\_event
The system runs multiple agents (Analyst, Challenger, etc.) that don’t just collaborate—they compete and ratify outcomes before producing a result.
A few things it does:
Tracks internal state like stability and coherence
Limits and compresses memory (it actually fills up)
Blocks its own “advancement” unless consistency is proven over time
This isn’t a single-pass model—it runs deliberation cycles and selects outputs based on internal agreement.
Curious what people think:
Is this meaningfully different from standard agent orchestration,or just a more structured control loop?