by OnlyTerp
Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide.
# Add to your Claude Code skills
git clone https://github.com/OnlyTerp/openclaw-optimization-guideBy Terp — Terp AI Labs
If you're running a stock OpenClaw setup, you're probably dealing with:
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After this setup:
| Metric | Before | After | |--------|--------|-------| | Context per msg | 15-20 KB | 4-5 KB | | Time to respond | 4-8 sec | 1-2 sec | | Memory recall | Forgets daily | Remembers weeks | | Token cost/msg | ~5,000 tokens | ~1,500 tokens | | Long sessions | Degrades | Stable | | Concurrent tasks | One at a time | Multiple parallel |
You ask a question
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Orchestrator (main model, lean context ~5KB)
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┌─────────────────────────────────────────┐
│ memory_search() — 45ms, local, $0 │
│ ┌─────────┐ ┌──────────┐ ┌────────┐ │
│ │MEMORY.md│→ │memory/*.md│→ │vault/* │ │
│ │(index) │ │(quick) │ │(deep) │ │
│ └─────────┘ └───────...