Overview

Welcome to ClawLayer! The missing layer between OpenClaw AI Agents and production deployment.

What is ClawLayer?

ClawLayer is an enhancement layer designed specifically for OpenClaw AI Agents. It sits between your application and OpenClaw, providing enterprise-grade capabilities that transform basic agents into production-ready, scalable autonomous systems.

Think of ClawLayer as middleware infrastructure that supercharges OpenClaw agents with personality, memory, performance optimization, and advanced features—without the complexity of building them yourself.

Why ClawLayer?

OpenClaw provides powerful AI agent capabilities, but deploying them in production requires additional infrastructure:

• Personality consistency across conversations

• Long-term memory to remember user interactions

• Performance optimization to reduce costs and latency

• Analytics to understand agent behavior

• Security and compliance features

• Multi-agent coordination for complex workflows

ClawLayer provides all of this out-of-the-box, so you can focus on building your application.

Core Features

🧠 Personality & Character Engine

Deep customization beyond basic prompts. Create unique, consistent personalities with behavioral traits, emotions, and communication styles that persist across all interactions.

💾 Long-Term Memory & State Management

Persistent conversation history and context-aware memory retrieval. Your agents remember past interactions, learn user preferences, and build meaningful relationships over time.

⚡ Performance Optimization Layer

Intelligent caching, request batching, and edge deployment reduce latency by 50%+ and cut API costs by 40-60%. Sub-100ms added latency at scale.

🧩 Advanced Agent Customization

Plugin marketplace, custom tool integration, multi-model orchestration (GPT-4, Claude, Llama), and A/B testing for agent behaviors.

📊 Analytics & Observability

Real-time performance monitoring, conversation quality metrics, cost tracking, user engagement analytics, and comprehensive debugging infrastructure.

👥 Multi-Agent Coordination

Agent-to-agent communication protocols, workflow orchestration, role-based hierarchies, shared knowledge pools, and collaborative task execution.

🔒 Security & Compliance

Rate limiting, abuse prevention, PII detection and redaction, audit logs, compliance reporting, access control, and data encryption.

Quick Start

Get started with ClawLayer in minutes:

npm install @clawlayer/sdk openclaw

import { ClawLayer } from '@clawlayer/sdk';
import { OpenClaw } from 'openclaw';

// Initialize your OpenClaw agent
const agent = new OpenClaw({
  model: 'claude-3-sonnet',
  apiKey: process.env.ANTHROPIC_API_KEY
});

// Enhance it with ClawLayer
const enhancedAgent = new ClawLayer(agent, {
  personality: {
    name: 'Alex',
    traits: ['helpful', 'friendly', 'professional'],
    voice: 'casual yet knowledgeable'
  },
  memory: {
    enabled: true,
    provider: 'pinecone'
  },
  cache: {
    enabled: true,
    ttl: 3600
  }
});

// Use your enhanced agent
const response = await enhancedAgent.chat({
  userId: 'user-123',
  message: 'Hello! Remember our conversation from yesterday?'
});

Architecture

┌─────────────────┐
│  Your Application│
└────────┬────────┘
         │
    ┌────▼────────────────────────────┐
    │      ClawLayer API              │
    ├─────────────────────────────────┤
    │  • Personality Engine           │
    │  • Memory Store (Vector DB)     │
    │  • Cache Layer (Redis)          │
    │  • Analytics Engine             │
    │  • Plugin System                │
    └────────┬────────────────────────┘
             │
    ┌────────▼────────┐
    │   OpenClaw      │
    │   AI Agents     │
    └─────────────────┘

ClawLayer acts as middleware between your application and OpenClaw, adding production-ready features without modifying your existing OpenClaw setup.

What You Can Build

ClawLayer powers production-ready AI agents across industries:

• AI Influencer Platforms: Unique personalities with follower memory and consistent voice

• Customer Support Agents: Remember customer history, preferences, and previous interactions

• Personal AI Assistants: Learn user habits and adapt communication style over time

• Gaming NPCs: Consistent character personalities with memory of player interactions

• Virtual Therapists: Build long-term relationships with empathetic responses

• Content Creation Bots: Maintain brand voice and style consistency

• Trading Assistants: Track portfolio history and learn investment preferences

• Research Agents: Build knowledge graphs and remember previous findings

Documentation Structure

Getting Started

• Installation - Install the ClawLayer SDK

• Quickstart - Build your first enhanced agent

• What You Can Build - Use cases and examples

Guides

• Customize an Agent - Advanced personality and behavior configuration

• Add Multiple Agents - Coordinate multiple agents

• Testing - Test your agents effectively

• Deployment - Deploy to production

• Create a Plugin - Build custom plugins

• Publish a Plugin - Share plugins with the community

API Reference

• Overview - API documentation

• Agents - Agent management endpoints

Core Concepts

• Agents - Personality, memory, and lifecycle

• Runtime - Core system architecture

• Plugins - Extend agent capabilities

Performance Metrics

• < 100ms added latency

• 40-60% cost reduction through caching

• 50%+ latency improvement

• Plug & Play integration with OpenClaw

Community & Support

• Documentation: docs.clawlayer.dev

• Discord: discord.gg/clawlayer

• Twitter: @clawlayer

• GitHub Issues: github.com/clawlayer/sdk/issues

• Email: [email protected]

Next Steps

Ready to enhance your OpenClaw agents? Start with the Installation guide!