agent-builder-zenon
Professional AI Agent Builder Dashboard - Next.js 14 + TypeScript + MCP Bridge Integration
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Agent Builder ZENON
š Professional AI Agent Builder Dashboard
A modern, production-ready skeleton for building and managing AI agents with Next.js 14, TypeScript, and MCP (Model Context Protocol) integration.
⨠Features
šļø 3-Panel Dashboard System
- Agents Panel - Professional AI Agent Control Center
- Art Studio - Creative AI Studio & Art Production Hub
- Internet Gateways - Multi-Gateway Connection Hub
š¤ Agent Management
- Agent creation and configuration
- Start/stop agent functionality (ready for implementation)
- Agent monitoring and metrics
- Workflow builder for agent orchestration
š Agent Marketplace
- Browse and install pre-built agents
- Category filtering and search
- Agent ratings and reviews system
- Free and premium agent support
šØ Art Studio
- 9 creative categories (Film, Architecture, Digital Art, etc.)
- Project management for creative workflows
- Agent specialization for artistic tasks
- Inspiration hub with quotes and references
š MCP Bridge API
- Model Context Protocol integration
- WebSocket and HTTP server support
- Real-time agent communication
- REST API wrapper for external integrations
š ļø Tech Stack
- Framework: Next.js 14 with App Router
- Language: TypeScript
- Styling: Tailwind CSS + Radix UI
- Authentication: Built-in auth system
- API: REST endpoints ready for implementation
- Database: SQLite integration ready
- Real-time: WebSocket support for MCP
š Quick Start
# Clone the repository
git clone https://github.com/Bonzokoles/agent-builder-zenon.git
# Install dependencies
npm install --legacy-peer-deps
# Start development server
npm run dev
# Open in browser
http://localhost:3005
š Default Login
- Password:
#Haos77#
šÆ Current Status
ā Completed
- Clean UI skeleton with no fake data
- All navigation and routing working
- Empty states properly implemented
- Component structure complete
- API endpoint structure ready
- Authentication system functional
š§ Ready for Implementation
- Real agent CRUD operations
- Database integration (SQLite prepared)
- MCP server connections
- Marketplace external API
- Agent start/stop functionality
- Real-time monitoring
š Development Workflow
Modular Development Process:
- JIMBO writes module scenario
- Developer implements in CodeGPT
- Test functionality locally
- Commit to feature branch
- Merge to main when stable
Built with ā¤ļø for the ZENON ecosystem
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