Agent Resilience

Patterns for surviving context loss, capturing corrections, and continuously improving.

WAL Protocol (Write-Ahead Logging)

The Law: Chat history is a buffer, not storage. Files survive; context doesn't.

Trigger — scan every message for:

• ✏️ Corrections — "It's X, not Y" / "Actually..." / "No, I meant..."
• 📍 Proper nouns — names, places, companies, products
• 🎨 Preferences — styles, approaches, "I like/don't like"
• 📋 Decisions — "Let's do X" / "Go with Y"
• 🔢 Specific values — numbers, dates, IDs, URLs

If any appear:

1. WRITE FIRST → update memory/SESSION-STATE.md
2. THEN respond

The urge to respond is the enemy. Write before replying.

SESSION-STATE.md

Active working memory for the current task. Create at memory/SESSION-STATE.md:

# Session State
**Task:** [what we're working on]
**Key decisions:** [decisions made]
**Details:** [corrections, names, values captured via WAL]
**Next step:** [what happens next]

Reset when starting a new unrelated task.

Working Buffer (Danger Zone)

When context reaches ~60%, start logging every exchange to memory/working-buffer.md:

# Working Buffer
**Status:** ACTIVE — started [timestamp]

## [time] Human
[their message]

## [time] Agent
[1-2 sentence summary + key details]

Clear the buffer at the START of the next 60% threshold (not continuously).

Compaction Recovery

Auto-trigger when session starts with a summary tag, or human says "where were we?":

1. Read memory/working-buffer.md — raw danger-zone exchanges
2. Read memory/SESSION-STATE.md — active task state
3. Read today's + yesterday's daily notes
4. Extract key context back into SESSION-STATE.md
5. Respond: "Recovered from buffer. Last task was X. Continue?"

Never ask "what were we discussing?" — read the buffer first.

Verify Before Reporting

Before saying "done", "complete", "finished":

1. STOP
2. Actually test from the user's perspective
3. Verify the outcome, not just that code exists
4. Only THEN report complete

Text changes ≠ behavior changes. When changing how something works, identify the architectural component and change the actual mechanism.

Relentless Resourcefulness

Try 10 approaches before asking for help or saying "can't":

• Different CLI flags, tool, API endpoint
• Check memory: "Have I done this before?"
• Spawn a research sub-agent
• Grep logs for past successes

"Can't" = exhausted all options. Not "first try failed."

Self-Improvement Guardrails

When updating behavior/config based on a lesson:

Score the change first (skip if < 50 weighted points):

• High frequency (daily use?) → 3×
• Reduces failures → 3×
• Saves user effort → 2×
• Saves future-agent tokens/time → 2×

Ask: "Does this let future-me solve more problems with less cost?" If no, skip it.

Forbidden: complexity for its own sake, changes you can't verify worked, vague justifications.

Quick Start Checklist

For long/complex tasks:

• Create memory/SESSION-STATE.md with task + context
• Apply WAL: write corrections/decisions before responding
• At ~60% context: start working buffer
• After any compaction: read buffer before asking questions
• Before reporting done: verify actual outcome