kilocode-agent-trails

name	kilocode-agent-trails
description	Execute AGENT TRAILS roguelike visualization framework for PMOVES agent navigation on the KiloCode GLM lane. Use when visualizing agent execution lanes, navigating time crystals, or operating in the Transformers/Bumblebee energy framework.
keywords	["agent-trails","roguelike","visualization","lanes","time-crystal","transformer","kilocode","glm"]
version	1.0.0
category	PMOVES/KiloCode

KiloCode Agent Trails

Execute AGENT TRAILS roguelike visualization framework for PMOVES agent navigation with KiloCode GLM tactical inference.

Purpose

Navigate PMOVES agent execution through the AGENT TRAILS roguelike visualization framework. Implement parallel execution lanes, time crystal context snapshots, and signal switching for autonomous agent operations. Route tactical inference through TensorZero coding_glm / coding_kilocode.

Capabilities

• 🛤️ Parallel execution lane visualization
• 💎 Time crystal context snapshots
• 🔀 Signal switching at decision points
• 👁️ Double slit observation mechanics
• 🎮 8-bit → 16-bit → PS2 visual evolution

Integration Points

• AGENT TRAILS Docs: pmoves/docs/AGENT_TRAILS.md
• PMOVES-ClawZ: Kinetic CLI (the Claw)
• BoTZ Framework: Gateway auto-routing
• KiloCode GLM: Tactical inference via coding_glm / coding_kilocode
• NATS Subject: pmoves.agent.trails.v1

Theme Architecture

┌─────────────────────────────────────────────────────┐
│                    AGENT TRAILS                      │
│           (Transformers meets Bumblebee)            │
├─────────────────────────────────────────────────────┤
│                                                      │
│   🛤️ Lanes ──── Parallel execution tracks           │
│              with signal switching                   │
│                                                      │
│   💎 Time Crystals ─── Context snapshots             │
│                    for rewind/shift                  │
│                                                      │
│   👁️ Double Slit ─── Observation affects            │
│                   behavior                           │
│                                                      │
│   🎮 Evolution ─── 8-bit → 16-bit → PS2              │
│                                                      │
│   ⚡ Hotrod/Spotlight ─── BoTZ tactical dynamics     │
│                                                      │
└─────────────────────────────────────────────────────┘

Workflow

1. Initialize Agent Lane

# Lane configuration
lane:
  id: lane_<uuid>
  position: [x, y]
  energy: 100
  context_snapshot: <time_crystal_id>

2. Execute Lane Navigation

# Navigate through lane
./scripts/agent-trails-navigate.py \
  --lane-id <id> \
  --action <move|attack|shift|rewind> \
  --context-snapshot <time_crystal>

3. Capture Time Crystal

# Save context snapshot
./scripts/time-crystal-save.py \
  --run-id <task_id> \
  --context <snapshot_data>

4. Execute Rewind/Shift

# Rewind to previous state
./scripts/time-crystal-rewind.py \
  --crystal-id <time_crystal_id>

# Shift to parallel lane
./scripts/lane-shift.py \
  --from-lane <source> \
  --to-lane <target>

Double Slit Mechanics

Per pmoves/docs/AGENT_TRAILS.md:

Observation	Effect
Watched lane	Deterministic collapse
Unwatched lane	Quantum superposition
Shift observation	Path interference

Visual Evolution Tiers

Tier	Style	Context
8-bit	Retro arcade	Debug/audit logs
16-bit	Animated sprites	Active navigation
PS2	3D rendered	Production visualization

Example Usage

User: "Navigate agent through time crystal rewind"

Agent:
1. Captures current context as time crystal
2. Rewinds to previous state
3. Executes alternate path
4. Captures new time crystal
5. Compares outcomes

Trigger Phrases

• "agent trails navigation"
• "time crystal rewind"
• "execute lane shift"
• "double slit observation"
• "visualize agent execution"
• "kilo agent trails"