Spine Agent Network

The Intelligent Workforce of IntegrateWise

The Spine Agent Network is the coordinated intelligence layer that powers IntegrateWise. It transforms static tools into an active, self-organizing workspace where humans, AI, and systems collaborate seamlessly to get work done.

Core Value: Your digital Twin coordinates a network of specialized agents that work together to help you be more productive, make better decisions, and maintain continuity across all your work.

Network Architecture

                         HUMAN
                           │
                           ▼
                         TWIN
              Primary digital representative
                           │
          ┌────────────────┼────────────────┐
          │                │                │
          ▼                ▼                ▼
      Discovery         Coworker          Triage
        Agent            Agent             Agent
          │                │                │
          └────────────────┼────────────────┘
                           ▼
                    DOMAIN AGENTS
                           │
             ┌─────────────┼─────────────┐
             ▼             ▼             ▼
          Research      Execution      Analysis
           Agents        Agents         Agents
             │             │             │
             └─────────────┼─────────────┘
                           ▼
                       Sub-Agents
                           │
                           ▼
                      SPINE FABRIC
                           │
                Context + Handoff + Events
                           │
                           ▼
                  Next Actor Continues

Agent Hierarchy

Level 1: Core Spine Agents (System-Level)

Foundational agents that enable the entire network.

Agent	Role	Purpose
Twin	Primary Representative	Your digital twin - coordinates all interactions
Schema Agent	Data Architect	Manages data models, entities, and relationships
Coworker Agent	Collaboration Partner	Works alongside humans on shared tasks
Discovery Agent	Information Finder	Discovers relevant context, tools, and capabilities
Triage Agent	Work Router	Routes requests to the appropriate agent or system

Level 2: Domain Agents (Business-Function)

Specialized agents for specific business domains.

Category	Purpose	Example Agents
Research Agents	Knowledge discovery & analysis	Web Research, AI Research, Market Research, Technical Research
Browser Agents	Web automation & extraction	eve Browser, Kernel Browser, Stagehand, Parallel
Coding Agents	Development assistance	AI SDK Computer Use, Coding Platform, Open Agents
Software Factory	Dev lifecycle orchestration	eve Software Factory, GitHub Maintainer, Typefully Agent
Marketing Agents	Marketing operations	Lead Agent, Sales Call Summary, Customer Reviews, Campaign Agent
Content Agents	Content creation & management	Documentation Agent, FAQ Generator, Style Guide Agent
Personal Agents	Individual productivity	Personal Assistant, Calendar Agent, Email Agent

Level 3: Sub-Agent Patterns

Reusable agent components and patterns for specialized tasks.

Key Principles

1. Twin-Centric Coordination

Human → Twin, not Human → 17 different agents.

The Twin owns the coordination burden, acting as the primary interface between you and the agent network. This prevents fragmentation and ensures consistent context across all interactions.

2. Context-First

All agents operate within the Spine Fabric context layer. Context is assembled, enriched, and maintained across every interaction, ensuring continuity and coherence.

3. Handoff by Design

Work flows seamlessly between all actors:

• Human ↔ Human
• Human ↔ Twin
• Twin ↔ Agent
• Agent ↔ Agent
• Agent ↔ Tool
• Tool ↔ Spine

Each handoff includes full context, ensuring no information is lost.

4. Governed Execution

All agent actions are governed by:

• Permissions & Authority
• Data Governance policies
• Approval workflows (HITL - Human in the Loop)
• Audit trails
• Receipt generation

How It Works

User Interaction
     ↓
  Twin (Orchestrator)
     ↓
Agent Network
     ↓
Capability Manager
     ↓
MCP Pool / Connectors
     ↓
Source Systems
     ↓
Receipt → Spine Fabric
     ↓
Context Continuity

Example: Sales Lead Qualification

1. User Request: "Qualify this new lead from the website"
2. Twin Analysis: Understands intent, identifies needed capabilities
3. Agent Selection: Discovery Agent finds Lead Agent
4. Context Assembly: Spine Fabric gathers customer data, previous interactions
5. Agent Execution: Lead Agent enriches data, calculates score, determines next steps
6. Result Delivery: Twin presents qualified lead with recommended actions
7. Continuity: All data and context stored in Spine Fabric for future use

Example: Email Management

1. Email Arrives: Inbound email from important client
2. Twin Detection: Recognizes this is a priority client communication
3. Agent Routing: Routes to Email Agent with full client context
4. Context Enrichment: Email Agent assembles client history, previous emails, related documents
5. Smart Drafting: Email Agent creates draft response with relevant context
6. User Review: You review, edit if needed, and approve
7. Execution: Email sent, conversation logged, context updated

Agent Count Summary

Tier	Category	Count
1	Core Spine Agents	5
2	Domain Agents	29+
2	Software Factory (eve)	8
3	Sub-Agent Patterns	5
Total	~120+ Agents	~120+

Note: The full catalog includes ~120 agents when counting all templates, eve agents, and specialized sub-agents.

Benefits

For Individuals

• Reduced Cognitive Load - Twin handles coordination, you focus on decisions
• Context Continuity - Never lose track of conversations or work history
• Personalized Assistance - Agents learn your preferences and work patterns
• Multi-Platform Coordination - Single identity across web, Slack, email, and more

For Teams

• Shared Context - Everyone has access to the same organizational knowledge
• Consistent Workflows - Standardized processes across the team
• Collaborative Intelligence - Agents help the whole team work better together
• Knowledge Retention - Institutional knowledge captured and accessible

For Organizations

• Scalable Intelligence - AI capabilities that grow with your organization
• Governance & Security - Proper controls and audit trails for all actions
• Integration Hub - All your tools connected and working together
• Continuous Improvement - System learns and improves over time

Getting Started

Quick Start with Agents

1. Connect Your Tools - Integrate your CRM, email, calendar, and other systems
2. Activate Your Twin - Your personal digital representative is created automatically
3. Try a Simple Task - Ask your Twin to help with a routine task
4. Review Results - See how the agent network coordinates to complete your request
5. Provide Feedback - Help the system learn and improve

Common First Tasks

Task	Agent Used	What Happens
"Schedule a meeting with John"	Calendar Agent + Twin	Checks availability, sends invite, logs in calendar
"Qualify this lead"	Lead Agent + Twin	Enriches data, calculates score, recommends next steps
"Draft an email to the team"	Email Agent + Twin	Assembles context, creates draft, ready for your review
"What's my schedule today?"	Calendar Agent + Twin	Retrieves meetings, tasks, and priorities
"Research Company X"	Research Agent + Twin	Searches web, assembles information, creates report

Use Cases by Domain

Sales & Marketing

• Lead Qualification - Automatically score and route inbound leads
• Campaign Analysis - Analyze marketing campaign performance
• Customer Research - Gather intelligence on prospects and customers
• Content Creation - Generate marketing materials and documentation

Customer Success

• Account Health Monitoring - Track customer health metrics and risks
• Support Ticket Triage - Route and prioritize support requests
• Renewal Management - Manage renewal workflows and follow-ups
• Customer Insights - Analyze customer behavior and sentiment

Product & Engineering

• Code Review Assistance - AI-powered code review and suggestions
• Documentation Generation - Automatically create and update documentation
• Issue Analysis - Analyze GitHub issues and pull requests
• Technical Research - Research technologies and solutions

Business Operations

• Data Analysis - Analyze business metrics and performance
• Process Automation - Automate repetitive business workflows
• Report Generation - Create business reports and dashboards
• Knowledge Management - Organize and retrieve business knowledge

Security & Governance

Data Protection

• Encryption - All sensitive data encrypted at rest and in transit
• Access Control - Granular permissions for all agents and users
• Audit Trails - Comprehensive logging of all agent actions
• Compliance - Built-in support for GDPR, HIPAA, and other regulations

Permission Model

• User-Level - What each user can do
• Agent-Level - What each agent can access
• Data-Level - What data is accessible
• Action-Level - What actions are allowed

Approval Workflows

• Auto-Approve - Low-risk, high-confidence actions
• Notify-Only - Execute and notify user afterward
• HITL Required - High-risk actions require user approval
• Step-by-Step - Granular control for complex workflows

Monitoring & Analytics

Key Metrics

• Agent Utilization - How often agents are being used
• Task Completion - Success rate of agent-executed tasks
• Response Time - How quickly agents respond
• User Satisfaction - Feedback and rating scores
• Context Reuse - How often previous context is leveraged

Dashboard

• Real-time view of agent network activity
• Performance metrics for each agent
• Usage analytics across the organization
• Health monitoring and alerts

Roadmap

Short-term (0-3 months)

• Additional agent types and capabilities
• Enhanced personalization and learning
• Improved context assembly algorithms
• Better integration with third-party tools

Medium-term (3-6 months)

• Advanced multi-agent coordination
• Predictive capabilities and suggestions
• Expanded domain coverage
• Improved governance and compliance

Long-term (6-12 months)

• Fully autonomous workflows
• Self-optimizing agent network
• Cross-organization collaboration
• Advanced analytics and insights

Support

Documentation

• Agent Architecture - Technical details of agent design
• Domain Agents - Specialized agents by business function
• Network Effect - How the agent network creates exponential value

Community

• IntegrateWise Community
• GitHub Discussions
• Developer Slack

Professional Services

• Enterprise Support
• Custom Agent Development
• Implementation Consulting

---

Quick Reference

Agent Network in One Diagram

Human → Twin → Agent Network → Tools → Systems
   ↓    ↓    ↓           ↓     ↓
Context flows through all levels

Key Terms

• Twin - Your primary digital representative
• Agent - Specialized AI worker
• Spine Fabric - The contextual layer
• MCP Pool - Model Context Protocol tools
• Handoff - Work transfer between agents
• HITL - Human in the Loop (approval required)

Next Steps

1. Explore Core Agents - Learn about the foundation
2. Browse Domain Agents - Find agents for your business needs
3. Understand Network Effect - See how value compounds
4. Try It Out - Experience agents in action