| 𧬠| EvolveHub = Enterprise Claude |
|---|
EvolveHub is a ready-to-use enterprise AI platform. No coding required β simply connect your company's MCP services or A2A protocol, and AI can seamlessly interact with your business systems.
Configure and use. Connect everything. Let AI understand and operate your enterprise systems.
graph TB
subgraph "π€ User Interaction Layer"
A[π¬ Web Chat]
B[π± Mobile]
C[π API Access]
end
subgraph "π§ EvolveHub Intelligence Platform"
D[π― Intent Recognition]
E[π§ Evolution Engine]
F[π§ Tool Orchestration]
end
subgraph "π Enterprise Connection Layer"
G[π¦ MCP Services]
H[π€ A2A Protocol]
I[β‘ Skills]
end
subgraph "π’ Your Business Systems"
J[π ERP/CRM]
K[ποΈ Database]
L[π Internal APIs]
end
A --> D
B --> D
C --> D
D --> E
E --> F
F --> G
F --> H
F --> I
G --> J
H --> J
I --> J
G --> K
G --> L
style E fill:#4ECDC4,color:#fff
style G fill:#6DB33F,color:#fff
style H fill:#3498DB,color:#fff
style I fill:#E74C3C,color:#fff
| Scenario | Description | Benefit |
|---|---|---|
| π¬ Smart Customer Service | AI understands business, auto-queries orders, handles tickets | 80% efficiency boost |
| π Data Assistant | Natural language database queries, report generation | Zero SQL barrier |
| π§ Ops Assistant | AI executes operations, auto-troubleshoots | 70% faster response |
| π Workflow Approval | Intelligent approval understanding, decision support | 3x faster approval |
| π Training Tutor | Q&A based on enterprise knowledge base | 60% lower training cost |
Simply configure your MCP service endpoint, platform auto-discovers and loads tools:
# evolverhub-config.yaml
mcp:
servers:
- name: "company-erp"
endpoint: "https://erp.company.com/mcp"
auth:
type: "bearer"
token: "${ERP_API_TOKEN}"Register your Agent to A2A network for multi-agent collaboration:
a2a:
registry: "nacos://localhost:8848"
agents:
- name: "order-agent"
capability: "Order Query & Processing"
- name: "inventory-agent"
capability: "Inventory Management"Import pre-built enterprise skill packages for instant business capabilities:
skills:
- name: "database-query"
version: "1.0.0"
- name: "report-generator"
version: "2.1.0"| Dimension | Traditional AI Development | EvolveHub |
|---|---|---|
| Development Cost | π΄ High (needs AI engineers) | π’ Zero-code config |
| Deployment Time | π΄ Weeks/Months | π’ Minutes |
| Business Adaptation | π΄ Custom development | π’ MCP/A2A plug-and-play |
| Knowledge Building | π΄ Static Prompts | π’ Auto-evolution accumulation |
| Maintenance Cost | π΄ Continuous investment | π’ Self-adaptive optimization |
| Deployment Mode | Use Case | Features |
|---|---|---|
| π³ Docker | Quick trial, test environments | One-click startup |
| βΈοΈ Kubernetes | Production, high availability | Elastic scaling |
| π’ On-Premise | Data-sensitive, compliance | Full control |
# Pull image
docker pull evolvehub/server:latest
# Start service
docker run -d \
--name evolvehub \
-p 8080:8080 \
-v ./config:/app/config \
evolvehub/server:latest
# Visit http://localhost:8080 to start using%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#4ECDC4'}}}%%
timeline
title EvolveHub Roadmap
section Phase 1
Core Platform Release
: MCP Protocol Support
: Basic Conversation
section Phase 2
Enterprise Enhancement
: A2A Multi-Agent
: Skills Marketplace
section Phase 3
Intelligence Upgrade
: Memory Evolution
: Strategy Iteration
: Knowledge Graph
