MINDR is a decentralized edge agent development and deployment framework that enables developers to create persistent AI agents running on distributed network nodes. Built with modern technologies and best practices, MINDR provides a robust foundation for building the next generation of intelligent applications.
-
🤖 Intelligent Agents
- Advanced AI capabilities integration
- Natural language processing
- Machine learning model support
- Custom behavior programming
-
🌐 Edge Computing
- Distributed node deployment
- Edge-native architecture
- Low-latency processing
- Offline operation support
-
🔄 State Management
- Persistent memory storage
- State synchronization
- Transaction management
- Backup and recovery
-
🔒 Resource Control
- Dynamic resource allocation
- Usage monitoring
- Performance optimization
- Security enforcement
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🛠️ Developer Tools
- Interactive CLI
- Visual development studio
- Debugging utilities
- Performance profiling
graph TB
subgraph "MINDR Framework"
Core[Core Package]
Runtime[Runtime Environment]
Studio[Development Studio]
Guardian[Resource Guardian]
Connect[Network Connect]
Marketplace[Agent Marketplace]
end
Core --> Runtime
Core --> Studio
Runtime --> Guardian
Guardian --> Connect
Connect --> Marketplace
subgraph "Edge Nodes"
Node1[Edge Node 1]
Node2[Edge Node 2]
Node3[Edge Node 3]
end
Runtime --> Node1
Runtime --> Node2
Runtime --> Node3
- Agent lifecycle management
- State and memory interfaces
- Event system
- Plugin architecture
- Error handling
- Logging system
- Container orchestration
- Resource allocation
- Performance monitoring
- State persistence
- Load balancing
- Health checks
- Visual development interface
- Real-time monitoring
- Debugging tools
- Performance analytics
- Code generation
- Template management
- Resource monitoring
- Security enforcement
- Policy management
- Access control
- Threat detection
- Audit logging
- P2P networking
- Service discovery
- Data synchronization
- Message routing
- Protocol handling
- Connection management
- Agent discovery
- Distribution system
- Version management
- Reputation system
- Payment integration
- License management
sequenceDiagram
participant Developer
participant Studio
participant Core
participant Runtime
participant Edge
participant Storage
participant Network
Developer->>Studio: Create Agent
Studio->>Core: Initialize Agent
Core->>Runtime: Deploy Agent
Runtime->>Edge: Allocate Resources
Edge->>Storage: Initialize State
Edge->>Network: Register Presence
Network-->>Edge: Peer Discovery
Edge->>Runtime: Report Status
Runtime->>Core: Update State
Core->>Studio: Display Metrics
stateDiagram-v2
[*] --> Initialized
Initialized --> Configured
Configured --> Deployed
Deployed --> Running
Running --> Paused
Paused --> Running
Running --> Updating
Updating --> Running
Running --> Stopped
Stopped --> [*]
interface ResourceLimits {
memory: number; // Memory limit in bytes
cpu: number; // CPU cores (1 = 100%)
storage: number; // Storage limit in bytes
network: {
inbound: number; // Inbound bandwidth limit
outbound: number; // Outbound bandwidth limit
};
gpu?: {
memory: number; // GPU memory limit
compute: number; // Compute units
};
}# Install MINDR CLI globally
npm install -g @mindr/cli
# Create a new agent project
mindr create my-agent
# Start development
cd my-agent
mindr devimport { Agent, AgentConfig } from '@mindr/core';
interface MyAgentState {
messageCount: number;
lastProcessed: Date;
}
class MyAgent extends Agent<MyAgentState> {
async init(): Promise<void> {
await super.init();
this.state = {
messageCount: 0,
lastProcessed: new Date()
};
console.log('Agent initialized with state!');
}
async processMessage(message: string): Promise<string> {
this.state.messageCount++;
this.state.lastProcessed = new Date();
return `Processed message #${this.state.messageCount}: ${message}`;
}
}# Build the agent
mindr build
# Run tests
mindr test
# Deploy to edge network
mindr deploy --network testnet --replicas 3mindr/
├── packages/
│ ├── core/ # Core framework functionality
│ ├── runtime/ # Runtime environment
│ ├── studio/ # Development studio
│ ├── guardian/ # Resource management
│ ├── connect/ # Network connectivity
│ └── marketplace/ # Agent marketplace
├── examples/ # Example projects
├── docs/ # Documentation
└── assets/ # Static assets
We welcome contributions! Please see our Contributing Guide for details.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to all our contributors
- Inspired by various AI frameworks and tools
- Built with modern web technologies
If you encounter any issues or have questions, please open an issue.