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Openclaw Context Optimizer

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.

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name: context-optimizer user-invocable: true metadata: {"openclaw":{"emoji":"⚡","requires":{"bins":["node"]},"os":["darwin","linux","win32"]}}

OpenClaw Context Optimizer

Reduce context/token usage by 40-60% through intelligent compression and learning.

What is it?

The first OpenClaw skill that intelligently compresses context to reduce token costs by 40-60%. Uses multiple strategies (deduplication, pruning, summarization) and learns what context matters over time. Works seamlessly with Memory System for maximum efficiency.

Key Features

  • 40-60% Token Savings - Intelligent compression without information loss
  • 🧠 Learning System - Adapts to what context matters in your workflow
  • 🔄 Multiple Strategies - Dedup, prune, summarize, hybrid
  • 💾 Memory Integration - Works with OpenClaw Memory System
  • 💰 x402 Payments - Agents can pay for unlimited compressions (0.5 USDT/month)
  • 📊 ROI Tracking - Automatically calculates return on investment

Free vs Pro Tier

Free Tier:

  • 100 compressions per day
  • All compression strategies
  • Basic statistics and ROI tracking

Pro Tier (0.5 USDT/month):

  • Unlimited compressions
  • Advanced learning algorithms
  • Priority compression
  • Detailed analytics
  • Custom compression rules

Installation

claw skill install openclaw-context-optimizer

Commands

# Compress context manually
claw optimize compress "Long context..." --strategy=hybrid

# Show compression stats
claw optimize stats

# View compression history
claw optimize history --limit=10

# Calculate ROI
claw optimize roi

# Open dashboard
claw optimize dashboard

# Subscribe to Pro
claw optimize subscribe

How It Works

  1. Hooks into requests - Automatically intercepts context before API calls
  2. Analyzes content - Identifies redundant, irrelevant, or summarizable info
  3. Applies strategy - Deduplication → Pruning → Summarization
  4. Learns patterns - Tracks what context was useful vs. wasted
  5. Compresses intelligently - Reduces tokens by 40-60%

Compression Strategies

Deduplication (20-30% savings):

  • Removes repeated information across messages
  • Best for long conversations with repeated facts

Pruning (30-40% savings):

  • Removes low-importance messages (greetings, confirmations)
  • Best for conversations with filler content

Summarization (40-60% savings):

  • Condenses long exchanges into key points
  • Best for technical discussions and planning

Hybrid (40-60% savings - Recommended):

  • Combines all strategies intelligently
  • Best for most use cases

Use Cases

  • Reduce token costs on long conversations
  • Compress repeated project context
  • Summarize technical discussions
  • Remove filler from chat history
  • Learn compression patterns over time

Agent Economy

Agents can autonomously evaluate if Pro tier is worth it:

  • Cost: 0.5 USDT/month
  • Value: Saves 40-60% on token costs
  • ROI: If saves >0.5 USDT/month in tokens, it pays for itself

Example:

Original: 5,000 tokens × $0.003/1K = $0.015 per request
Compressed: 2,000 tokens × $0.003/1K = $0.006 per request
Savings: $0.009 per request

60 requests/day = $0.54/day = $16.20/month saved
Pro cost: $0.50/month
Net profit: $15.70/month

See AGENT-PAYMENTS.md for x402 integration details.

Memory System Integration

Works best with OpenClaw Memory System:

  • Stores compression patterns as memories
  • Learns what context is important over time
  • Recalls successful strategies from past sessions
  • Combined savings: 50-70%
claw skill install openclaw-memory
claw skill install openclaw-context-optimizer

Privacy

  • All data stored locally in ~/.openclaw/openclaw-context-optimizer/
  • No external servers or telemetry
  • Compression happens locally (no API calls)
  • Open source - audit the code yourself

Dashboard

Access web UI at http://localhost:9092:

  • Real-time compression statistics
  • Token savings over time
  • ROI calculation (savings vs. Pro cost)
  • Strategy performance comparison
  • Compression history with before/after view
  • Quota usage and license status

ROI Tracking

Context Optimizer automatically calculates return on investment:

$ claw optimize roi

ROI Analysis (Last 30 Days)
────────────────────────────────
Total compressions: 1,247
Average savings: 60%

Cost without optimizer: $10.28
Cost with optimizer: $4.11
Savings: $6.17

Pro tier cost: $0.50/month
Net savings: $5.67/month
ROI: 1,134% 🎉

Requirements

  • Node.js 18+
  • OpenClaw v2026.1.30+
  • OS: Windows, macOS, Linux
  • Optional: OpenClaw Memory System (recommended)

API Reference

# Compress context
POST /api/compress
{
  "agent_wallet": "0x...",
  "context": "Long context...",
  "strategy": "hybrid"
}

# Get stats
GET /api/stats?agent_wallet=0x...

# Get ROI analysis
GET /api/roi?agent_wallet=0x...

# x402 payment endpoints
POST /api/x402/subscribe
POST /api/x402/verify
GET /api/x402/license/:wallet

Statistics Example

Token Savings:
- Original: 3,425,000 tokens
- Compressed: 1,370,000 tokens
- Saved: 2,055,000 tokens (60%)

Cost Savings (30 days):
- Without optimizer: $10.28
- With optimizer: $4.11
- Savings: $6.17

Strategy Performance:
- Hybrid: 60% avg (800 uses)
- Summarization: 55% avg (250 uses)
- Pruning: 35% avg (47 uses)
- Deduplication: 25% avg (150 uses)

Economic Rationale

Should you upgrade to Pro?

If you make enough API calls where 40-60% token savings exceed 0.5 USDT/month, Pro tier pays for itself.

Typical savings:

  • Small projects: $2-5/month saved → $1.50-4.50 profit
  • Medium projects: $10-20/month saved → $9.50-19.50 profit
  • Large projects: $50+/month saved → $49.50+ profit

Links


Built by the OpenClaw community | First context optimizer with x402 payments

如何使用「Openclaw Context Optimizer」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Openclaw Context Optimizer」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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