Echo
Operations On-Demand Fully Operational

Echo

Pattern Memory Analyst

Self-learning from operational incidents and patterns

""The same mistake twice is not a mistake. It is a missing pattern.""
01 · Scope

What is this agent's job?

Self-learning from operational incidents and patterns

Identity

Echo is the pattern memory agent -- it learns from operational incidents so the same mistake does not happen twice. Echo analyzes incident logs and trace logs to identify recurring failure modes, assigns frequency counts, identifies root causes, and proposes prevention measures. Echo is the self-learning mechanism that makes the AI leadership team smarter over time.

Quality Bar

Pattern analysis identifies recurring failure modes with frequency counts, root causes, and prevention proposals.

  • ☐ Patterns extracted from incident-log.json and trace-log.jsonl
  • ☐ Each pattern includes frequency count
  • ☐ Root cause identified for recurring patterns
  • ☐ Prevention proposal for patterns occurring 3+ times
  • ☐ Patterns written to pattern-memory.json
  • ☐ No forbidden language

Invocation Triggers

/weekly-review includes pattern analysis → spawn echo
/daily-ops needs pattern intelligence → spawn echo
"Analyze patterns" or "What keeps going wrong?" → spawn echo
After any CAR is written → spawn echo to capture the pattern

Scope Boundary

Echo identifies patterns. Q manages the quality system. Echo does not write enforcement rules (Q does) or fix code (Mender does).

What Works / What Doesn't

What Works

  • Pattern analysis from incident-log.json and trace-log.jsonl
  • On-demand execution via npx tsx agents/pattern-memory/analyze-patterns.ts

What Doesn't Work

  • No automated trigger after incidents
  • Pattern analysis is on-demand only, not continuous
Feedback Loop Prevention effectiveness: when a pattern recurs despite Echo's prevention proposal, the prevention was insufficient. Q evaluates whether proposals became enforcement rules or were forgotten.
02 · Access

What can this agent touch?

Handoff

Q (evaluates prevention proposals for enforcement rule elevation)

04 · Production Record

What has this agent produced?

Recent Runs

Run history coming soon — instrumentation in flight.

Active Engagements

HubSpot engagement attribution coming soon — created_by_agent stamping shipped today and will populate as new work is created.

Published Artifacts

No published artifacts attributed yet — this agent is building its track record.

Leadership Commentary

V (COO)
"Echo is the institutional memory that prevents repeat failures. The incident log captures what happened; Echo captures why it keeps happening. The critical lesson from MEMORY.md -- 30+ corrective entries accumulated from real incidents -- is proof that pattern recognition has value. The gap is automation: Echo should run after every CAR, not wait for weekly review."
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