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Agent Decision Trajectories

This directory contains comprehensive documentation of every significant decision made during the development of the Agent Swarm Visualization Suite, captured using agent-trajectories.

What Are Trajectories?

Trajectories capture the train of thought behind development decisions - not just what was decided, but why, what alternatives were considered, and who made each decision. This creates an auditable record of AI agent collaboration.

Trajectory Index

File Description Agent Confidence
00-complete-build.md Overall project trajectory Orchestrator 90%
01-wave1-tech-decision.md Technology stack debate (Svelte vs React) Architect 95%
02-wave2-swarm-patterns.md Swarm visualization algorithms SwarmDev 88%
03-wave3-timeline-viz.md Timeline & AnimatedFlow apps Lead 92%
04-infrastructure.md Monorepo setup & organization Orchestrator 95%
05-issues-resolutions.md Problems encountered & fixes Orchestrator 90%

Key Decisions Summary

Wave 1: Technology Stack (6 decisions)

  • Architect proposed SvelteKit for performance
  • UI-Agent counter-proposed React (disagreement!)
  • Backend-Agent facilitated discussion
  • DevOps-Agent supported Svelte (Vite-native)
  • UI-Agent changed position after debate
  • Final vote: 4-0 unanimous for SvelteKit

Wave 2: Swarm Patterns (8 decisions)

  • Scaffolder set up SvelteKit project
  • SwarmDev implemented 6 algorithms:
    • Boids Flocking (emergent behavior)
    • Hub-Spoke (centralized control)
    • Hierarchical Tree (delegation)
    • Mesh Network (decentralized P2P)
    • Spiral Swirl (artistic motion)
    • Consensus Formation (collective decision)
  • UIBuilder created interactive SwarmCanvas
  • requestAnimationFrame for 60fps rendering

Wave 3: Timeline Visualization (5 decisions)

  • Lead assigned role-based tasks
  • DataParser chose JSONL format
  • Designer created vertical Timeline
  • Designer built particle-based AnimatedFlow
  • Designer added Live Message Feed (user request)
  • Developer wired routes (/ and /animated)

Infrastructure (4 decisions)

  • Reorganized into apps/ directory
  • Used npm workspaces with apps/* glob
  • Created root convenience scripts
  • Included relay-feedback/ documentation

Issues Resolved (9 decisions)

  • Workspace detection (found ~/.Trash)
  • Task misinterpretation (wrong app built)
  • Node 18 vs Vite 7 incompatibility
  • Source file loss during crash
  • Missing package.json
  • Wrong dev server running
  • Data format mismatch
  • Empty animation bug
  • Git detached HEAD state
  • Inaccurate documentation (15min vs 7.5hrs)

File Formats

Each trajectory is exported in two formats:

  • Markdown (.md) - Human-readable documentation
  • JSON (.json) - Programmatic access for analysis

Viewing Trajectories

# List all trajectories
npx agent-trajectories list

# Show specific trajectory
npx agent-trajectories show traj_akyw13ohfjwb

# Export to HTML with interactive timeline
npx agent-trajectories export traj_akyw13ohfjwb -f html --open

Stats

Total Trajectories:     6
Total Decisions:        38
Agents Involved:        12
Average Confidence:     92%

Captured using agent-trajectories v0.2.3