Flux Agent

Flux Agent is currently under development. We appreciate your understanding.

Detailed information covering our full theoretical foundations and technical design is provided to our partners and collaborators upon request.

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Motion in Code — AI Agents & Digital Flows

Let’s read the signature of Motion in the digital world: goal → plan/contact → integrate → repeat (bounded). The playground below simulates the metrics S (steps), ρₜ (tool density), κ (coherence), τ (latency) and Θ (phase indicator). For production, it will connect to Firebase Functions and real logs.

Docs Protocol

Agent Playground

Live Metrics

S
Steps
0
ρₜ
Tool Density
0.00
κ
Coherence
0.00
τ
Avg Latency
0
Θ
Phase
0.00
Threshold ≈ 0.80 — when crossed, system stops gracefully (fail-soft).
ρₜ ↑ & κ stable → healthy exploration (3rd Law dominant)
ρₜ ↑ & κ ↓ & τ ↑ → clustering risk (2nd Law trap)
Θ ↑ → approaching regime change; limit steps or inject diversity

Logs


      
In production each step and tool call will be written to Firebase; UI will stream updates
        here.

    


    

      
Integration TODOs

      
      

        
      

    

  


  

    

      
Definitions

      
    

    

      
Design Principles

      
    
        
  1. Bounded Motion: limit steps & tool privileges.
    2. 
        
  2. Transparent Contacts: every tool call observable & attributable.
    3. 
        
  3. Right-Sized Diversity: enough exploration to escape traps without breaking trust.
        
    4. 
        
  4. Fail-Soft: stop early / summarize when Θ rises.
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  5. Human-in-the-Loop: oversight at thresholds.
    6.