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OpenClaw /new Command: The Simple Fix for SOUL.md Drift

I had been working with OpenClaw for about 45 minutes. Research, code, explanations, more code. Then I noticed my SOUL.md rules were being ignored. “Absolutely” appeared. Responses got longer. My carefully crafted instructions had faded into noise.

I typed /new and started fresh. Everything worked again. But I kept wondering: what exactly did that command do? And why was I treating it like an emergency button instead of a regular tool?

The Problem

I use SOUL.md to enforce consistent behavior from my AI assistant. But during long sessions, my rules gradually lose effectiveness:

What I Observed
Session Start: Rules followed 100%
After 10 msgs: Rules followed ~80%
After 30 msgs: Rules followed ~40%
After 50 msgs: Rules followed ~10%

The degradation was predictable and frustrating. I kept tweaking SOUL.md, adding more explicit instructions, but nothing stuck.

My Failed Attempts

Attempt 1: Stronger Language

Adding emphasis to SOUL.md
## Response Rules
- CRITICAL: Maximum 3 sentences
- IMPORTANT: No filler words
- MANDATORY: Direct answers only

Result: Same drift. Uppercase didn’t help.

Attempt 2: More Rules

I expanded SOUL.md with detailed examples, edge cases, and explicit formatting requirements.

Result: Worse drift. More tokens meant more to ignore.

Attempt 3: Complaining to the AI

I started each message with “Remember: follow all SOUL.md rules.”

Result: Temporary improvement, then regression. The reminder worked briefly but got buried in context.

The Reddit Insight

I found a discussion on r/OpenClaw that completely reframed my thinking:

“The fix: use /new way more aggressively” “This solves 80% of the problem and costs nothing” “Most people treat /new as last resort - wrong approach”

And the key realization:

“Your agent doesn’t lose anything. SOUL.md, USER.md, MEMORY.md, all files still there. You’re just clearing the conversation that was drowning them out”

The /new command wasn’t a recovery tool. It was a context management tool I should be using proactively.

What /new Actually Does

The command clears your conversation history and reloads your configuration files fresh. Here’s the key distinction:

What /new Does vs. Doesn't Do
┌─────────────────────────────────────────────────────────────┐
│ /new CLEARS: │
│ ├── Conversation transcript (messages you've exchanged) │
│ ├── Accumulated context tokens │
│ └── Recent attention weight on conversation history │
│ │
│ /new PRESERVES: │
│ ├── SOUL.md (your custom rules) │
│ ├── USER.md (your preferences) │
│ ├── MEMORY.md (your accumulated notes) │
│ └── All project files │
└─────────────────────────────────────────────────────────────┘

I had been avoiding /new because I thought I’d lose my setup. I was wrong.

The Attention Reset Mechanism

When you start a session, SOUL.md loads with the model’s full attention:

Attention Distribution Over Session
Session Start: SOUL.md = 100% attention
┌─────────────────────────────────────────┐
│ SOUL.md ████████████████████ 100% │
└─────────────────────────────────────────┘
After 10 msgs: SOUL.md = 40% attention
┌─────────────────────────────────────────┐
│ SOUL.md ████████ 40% │
│ Recent msgs ████████████ 60% │
└─────────────────────────────────────────┘
After 30 msgs: SOUL.md = 15% attention
┌─────────────────────────────────────────┐
│ SOUL.md ████ 15% │
│ Recent msgs ████████████████████ 85% │
└─────────────────────────────────────────┘
After 50 msgs: SOUL.md = 5% attention
┌─────────────────────────────────────────┐
│ SOUL.md █ 5% │
│ Recent msgs ████████████████████████ 95%│
└─────────────────────────────────────────┘

The /new command resets this. Your SOUL.md reloads at 100% attention because there’s no competing context.

When to Use /new: The Aggressive Approach

The Reddit insight flipped my mental model. Instead of treating /new as emergency recovery, I now use it proactively:

Session Reset Decision Tree
┌─────────────────────────────────────────────────────────────┐
│ Starting a distinct task? │
│ ├── Research phase? ────────────────────> /new │
│ ├── Switching to coding? ───────────────> /new │
│ ├── Drafting a document? ───────────────> /new │
│ └── Returning to casual chat? ──────────> /new │
│ │
│ Conversation getting long? │
│ ├── More than 20 messages? ─────────────> /new │
│ ├── Rules being ignored? ───────────────> /new │
│ └── Responses drifting? ─────────────────> /new │
│ │
│ In middle of complex thought? │
│ └── FINISH THOUGHT, then /new │
└─────────────────────────────────────────────────────────────┘

This seems excessive. It isn’t. Manual discipline is the feature, not the bug.

Why Not Automate It?

A commenter asked: “Why not make that a cron job?”

The answer reveals why manual control matters:

Automation vs. Manual Control
Automated Reset Problems:
┌─────────────────────────────────────────────────────────────┐
│ ┌── Might cut off mid-thought │
│ ├── Could lose context you wanted to carry │
│ ├── Resets at wrong moments │
│ └── No judgment about task boundaries │
│ │
│ Manual Reset Benefits: │
│ ┌── You control when context resets │
│ ├── Natural breakpoints at task transitions │
│ ├── Preserves important ongoing context │
│ └── Human judgment about "done-ness" │
└─────────────────────────────────────────────────────────────┘

Human judgment determines task boundaries. No automation can match your understanding of when one task ends and another begins.

Multi-Session Workflow Example

Here’s how I structure a multi-phase project:

Project: Research and Write Blog Post
## Session 1 (Research Phase)
User: "Research the latest React 19 features and save findings to research.md"
[Agent conducts research, saves to file]
User: "/new"
## Session 2 (Synthesis Phase)
User: "Read research.md and draft a blog post outline, save to outline.md"
[Agent reads file, creates outline]
User: "/new"
## Session 3 (Writing Phase)
User: "Read outline.md and write the full blog post, save to draft.md"
[Agent writes complete draft]
User: "/new"
## Session 4 (Review Phase)
User: "Read draft.md and suggest improvements for SEO"
[Agent provides feedback]

Each session starts with SOUL.md fully loaded, no context pollution, clean attention state.

Quick Reference Card

/new Command Quick Reference
WHAT /new DOES:
├── Clears conversation history
├── Reloads SOUL.md fresh
├── Reloads USER.md fresh
├── Reloads MEMORY.md fresh
└── Keeps all your files
WHAT /new DOES NOT DO:
├── Delete SOUL.md
├── Delete USER.md
├── Delete MEMORY.md
├── Remove project files
└── Clear your clipboard
USE /new WHEN:
├── Starting a distinct task
├── Conversation > 20 messages
├── Rules being ignored
├── Agent drifting
└── Before critical work

Before and After Comparison

Long Session vs. Fresh Session
┌──────────────────────┬────────────────────┬─────────────────────┐
│ Aspect │ Long Session │ Fresh Session (/new)│
├──────────────────────┼────────────────────┼─────────────────────┤
│ SOUL.md attention │ 5-10% │ 100% │
│ Rule compliance │ Degraded │ Full │
│ Response quality │ Inconsistent │ Consistent │
│ Context relevance │ Diluted │ Focused │
│ "Absolutely" creep │ Common │ Absent │
│ Filler phrases │ Return │ Suppressed │
└──────────────────────┴────────────────────┴─────────────────────┘

The Psychology of Resistance

I resisted /new for months. Looking back, I see why:

Why I Avoided /new
┌─────────────────────────────────────────────────────────────┐
│ LOSS AVERSION │
│ "What if I need that context?" │
│ └── Reality: Important context should be in FILES │
│ │
│ SUNK COST │
│ "I've built up 40 messages of context" │
│ └── Reality: Long context DECREASES effectiveness │
│ │
│ MISUNDERSTANDING │
│ "It will delete my work" │
│ └── Reality: Files persist - only chat transcript clears │
└─────────────────────────────────────────────────────────────┘

The insight that changed my behavior: If it’s important, save it to a file. Chat history is not permanent storage.

Common Mistakes

  1. Treating /new as emergency recovery - Use it proactively, not reactively
  2. Saving context in chat instead of files - Files persist across sessions
  3. Testing only short sessions - Problems appear after 20+ messages
  4. Expecting automation - Manual discipline is the feature

  • Context Window Management - The same attention drift affects all long-context scenarios, not just SOUL.md
  • Prompt Engineering - Understanding attention explains why instructions at the end of prompts carry more weight
  • Session Hygiene - The practice of intentional context management for AI interactions

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

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