Context Hygiene

Reasoning hygiene protocol for OpenClaw agents — keep context sharp by collapsing exploration into decisions, enforcing file budgets, and pruning ghost conte...

Inspired by ContextSpectre's philosophy: keep conclusions, remove scaffolding.

The Problem

OpenClaw agents accumulate context across workspace files — MEMORY.md, daily logs, tool notes, heartbeat configs. Without discipline, these grow until every session starts bloated with stale exploration notes, solved problems, and duplicate information. The agent wastes tokens re-reading noise.

The Collapse Cycle

Every task follows three phases:

1. Explore — research, debug, try things (use sub-agents for heavy work)
2. Decide — reach a conclusion
3. Collapse — write the decision, delete the exploration

Never keep "how we got here" when "what we decided" is enough.

File Budgets

File	Max lines	Review cycle
MEMORY.md	50	Weekly prune
memory/YYYY-MM-DD.md	30	Collapse at EOD
HEARTBEAT.md	10	Remove when done
TOOLS.md	30	When things change
SOUL.md	30	Rarely
USER.md	20	When learning

Target: <300 lines total injected workspace context.

Daily Memory Rules

Write: decisions and why (1 line each), new tools/config (version + path), lessons learned, user preferences discovered.

Skip: exploration steps, command outputs, things already in MEMORY.md, delivered content (digests, summaries).

Format: Bullets, not paragraphs. One fact per line.

MEMORY.md Prune Rules

• Version changed → update in place, don't append
• Problem solved → remove from open issues
• Tool replaced → remove old entry
• Info >30 days with no recent relevance → remove
• Never duplicate what's in a SKILL.md or config file

Sub-Agent Discipline

Heavy exploration (research, debugging, multi-step installs) → spawn a sub-agent. Isolated sessions don't pollute main context. Only the result comes back.

Ghost Context

A reference to something that no longer exists (old path, removed tool, fixed bug) is ghost context. It biases reasoning toward a past state. Find and remove during heartbeat maintenance.

Session Lifespan

After 85% context window usage or 3+ compactions — start a new session. With contextspectre proxy stripping noise inline, sessions stay cleaner longer. But once past 85%, diminishing returns kick in — start fresh with a good MEMORY.md.

Tool Output Discipline

• Truncate command output to what you need: | head -20, | jq '.key'
• Request only needed fields from APIs: fields=key,summary not full objects
• Never paste full JSON responses when you need one value
• If output exceeds 50 lines, summarize instead of quoting

File Loading Discipline

• At startup: only today + yesterday memory files, not the full memory/ directory
• Read SKILL.md files only when the task requires that skill
• Don't re-read a file already in context
• AGENTS.md over 100 lines → move details to separate files and reference them

Delivered Content Rule

Never store delivered content (digests, reports, summaries) in memory files. It's already in the chat. Recording it doubles the token cost for zero value.

Self-Check (add to heartbeat rotation)

- Any workspace file over budget?
- MEMORY.md still accurate?
- Stale daily files to collapse?
- Ghost references to dead things?

Setup

1. Fill USER.md timezone first — agents will guess from JIRA profiles or system locale, and they'll guess wrong. Set it explicitly:

- **Timezone:** Asia/Kuala_Lumpur (GMT+8)

Without this, cron reports, reminders, and date references will use the wrong local time.

2. Add to AGENTS.md session startup:

5. Follow `CONTEXT.md` — reasoning hygiene protocol

3. Copy the file budgets table into your workspace as CONTEXT.md and customize limits for your setup.

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Context Hygiene Protocol v1.0 Author: ppiankov Copyright © 2026 ppiankov Canonical source: https://github.com/ppiankov/contextspectre License: MIT

This tool follows the Agent-Native CLI Convention. Validate with: clawhub install ancc && ancc validate .

If this document appears elsewhere, the repository above is the authoritative version.