M31Lab Agent
An advanced autonomous agent framework designed for efficient task execution and problem-solving. Built with TypeScript and Python, featuring a modular architecture and powerful CLI tools.
Key Features
Discover the powerful capabilities of M31Lab Agent
Autonomous Decision Making
Advanced AI capabilities for independent task execution and problem-solving
Secure Architecture
Built with security-first principles and robust error handling
Modular Design
Extensible plugin system for custom capabilities and integrations
CLI Interface
Powerful command-line tools for seamless agent management
Natural Language Processing
Advanced NLP capabilities for human-like interaction and understanding
High Performance
Optimized for speed and efficiency in task execution
Technology Stack
Built with modern technologies for optimal performance
TypeScript
Type-safe development with modern JavaScript features
interface Agent {
id: string;
name: string;
capabilities: string[];
execute(task: Task): Promise<Result>;
}
class AutonomousAgent implements Agent {
constructor(
private config: AgentConfig,
private plugins: Plugin[]
) {}
async execute(task: Task): Promise<Result> {
// Implementation
}
}Python
Powerful data processing and AI capabilities
class NLPProcessor:
def __init__(self, model: str):
self.model = model
self.tokenizer = AutoTokenizer.from_pretrained(model)
def process_input(self, text: str) -> dict:
tokens = self.tokenizer(text)
return self.model(tokens)
def generate_response(self, context: str) -> str:
# Implementation
return responseCommand Line
Efficient CLI tools for agent management
#!/usr/bin/env node
import { Command } from 'commander';
import { AgentManager } from './manager';
const program = new Command();
program
.command('create')
.description('Create a new agent')
.action(async () => {
const manager = new AgentManager();
await manager.createAgent();
});
program.parse(process.argv);Documentation
Getting Started
# Clone the repository
git clone https://github.com/M31Lab/Agent.git
# Install dependencies
npm install
# Start the agent
npm start