Stage N1. Stochastic scanning of past conversations to gather raw memory fragments. Broad, unfocused, deliberately noisy. The only stage that touches conversation history directly.
From morpheusnpx claudepluginhub johnhenry/clapplications --plugin morpheusThis skill is limited to using the following tools:
The hypnagogic scan. Fast, cheap, broad, noisy. ~5% of cycle time.
Drift is the only stage that directly searches past conversations. All downstream stages work exclusively with drift's output.
From orchestrator: target_skill, scan_depth (default 10),
recency_bias (0-1, default 0.7), randomness (0-1, default 0.4),
cycle_number (1-indexed).
Read the target SKILL.md. Extract:
Build a keyword pool of 10-20 terms ranked by specificity.
Use conversation_search and recent_chats tools. Strategy varies
by cycle:
| Cycle | Recency Bias | Randomness | Scan Depth |
|---|---|---|---|
| 1 | 0.8 | 0.3 | 8 |
| 2 | 0.5 | 0.5 | 10 |
| 3 | 0.3 | 0.7 | 12 |
| 4+ | 0.2 | 0.8 | 15 |
Early cycles: mostly recent_chats. Later: mostly conversation_search
with random keywords from the less-specific end of the pool. Include
cross-domain terms in later cycles.
From each result, extract 1-3 sentence fragments capturing:
Do NOT reproduce conversation content — summarize the essence.
Fragment format (YAML):
- id: f001
source: recent_chats | conversation_search
recency: recent | mid | old
relevance: direct | adjacent | tangential
content: "User requested Word doc with mixed English/Arabic, bidirectional TOC"
friction: true
friction_signal: "Corrected RTL formatting twice"
tags: [docx, rtl, toc, multilingual]
synthetic: false
Add 1-3 synthetic fragments — deliberately tangential or surreal:
Tag all as synthetic: true.
fragment_bag:
target_skill: /path/to/SKILL.md
cycle_number: 1
total_fragments: 14
sources: {recent_chats: 7, conversation_search: 4, synthetic: 3}
fragments: [...]
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.