MyCoder Agent

Core AI agent system that powers the MyCoder CLI tool. This package provides a modular tool-based architecture that allows AI agents to interact with files, execute commands, make network requests, spawn sub-agents for parallel task execution, and automate browser interactions.

Overview

The MyCoder Agent system is built around these key concepts:

• 🛠️ Extensible Tool System: Modular architecture with various tool categories
• 🔄 Parallel Execution: Ability to spawn sub-agents for concurrent task processing
• 🔌 Multi-LLM Support: Works with Anthropic Claude, OpenAI GPT models, and Ollama
• 🌐 Web Automation: Built-in browser automation for web interactions
• 🔍 Smart Logging: Hierarchical, color-coded logging system for clear output
• 📝 Advanced Text Editing: Powerful file manipulation capabilities
• 🔄 MCP Integration: Support for the Model Context Protocol

Please join the MyCoder.ai discord for support: https://discord.gg/5K6TYrHGHt

Installation

npm install mycoder-agent

API Key Required

Before using MyCoder Agent, you must have one of the following API keys:

• Anthropic: Set ANTHROPIC_API_KEY as an environment variable or in a .env file (Get from https://www.anthropic.com/api)
• OpenAI: Set OPENAI_API_KEY as an environment variable or in a .env file
• Ollama: Use locally running Ollama instance

Core Components

Tool System

The tool system is the foundation of the MyCoder agent's capabilities:

• Modular Design: Each tool is a standalone module with clear inputs and outputs
• Type Safety: Tools use Zod for schema validation and TypeScript for type safety
• Token Tracking: Built-in token usage tracking to optimize API costs
• Parallel Execution: Tools can run concurrently for efficiency

Agent System

The agent system orchestrates the execution flow:

• Main Agent: Primary agent that handles the overall task
• Sub-Agents: Specialized agents for parallel task execution
• Agent State Management: Tracking agent status and communication
• LLM Integration: Supports multiple LLM providers (Anthropic, OpenAI, Ollama)

LLM Providers

The agent supports multiple LLM providers:

• Anthropic: Claude models with full tool use support
• OpenAI: GPT-4 and other OpenAI models with function calling
• Ollama: Local LLM support for privacy and offline use

Model Context Protocol (MCP)

MyCoder Agent supports the Model Context Protocol:

• Resource Loading: Load context from MCP-compatible servers
• Server Configuration: Configure multiple MCP servers
• Tool Integration: Use MCP-provided tools

Available Tools

File & Text Manipulation

• textEditor: View, create, and edit files with persistent state
  • Commands: view, create, str_replace, insert, undo_edit
  • Line number support and partial file viewing

System Interaction

• shellStart: Execute shell commands with sync/async modes
• shellMessage: Interact with running shell processes
• shellExecute: One-shot shell command execution
• listShells: List all running shell processes

Agent Management

• agentStart: Create sub-agents for parallel tasks
• agentMessage: Send messages to sub-agents and retrieve their output (including captured logs)
• agentDone: Complete the current agent's execution
• listAgents: List all running agents

The agent system automatically captures log, warn, and error messages from agents and their immediate tools, which are included in the output returned by agentMessage.

Network & Web

• fetch: Make HTTP requests to APIs
• sessionStart: Start browser automation sessions
• sessionMessage: Control browser sessions (navigation, clicking, typing)
• listSessions: List all browser sessions

Utility Tools

• sleep: Pause execution for a specified duration
• userPrompt: Request input from the user

Project Structure

src/
├── core/               # Core agent and LLM abstraction
│   ├── llm/            # LLM providers and interfaces
│   │   └── providers/  # Anthropic, OpenAI, Ollama implementations
│   ├── mcp/            # Model Context Protocol integration
│   └── toolAgent/      # Tool agent implementation
├── tools/              # Tool implementations
│   ├── agent/          # Sub-agent tools
│   ├── fetch/          # HTTP request tools
│   ├── interaction/    # User interaction tools
│   ├── session/        # Browser automation tools
│   ├── shell/          # Shell execution tools
│   ├── sleep/          # Execution pause tool
│   └── textEditor/     # File manipulation tools
└── utils/              # Utility functions and logger

Technical Requirements

• Node.js >= 18.0.0
• pnpm >= 10.2.1

Browser Automation

The agent includes powerful browser automation capabilities using Playwright:

• Web Navigation: Visit websites and follow links
• Content Extraction: Extract and filter page content
• Element Interaction: Click buttons, fill forms, and interact with UI elements
• Waiting Strategies: Smart waiting for page loads and element visibility

Usage Example

import { toolAgent } from '@measey/mycoder-agent';
import { textEditorTool } from '@measey/mycoder-agent';
import { shellStartTool } from '@measey/mycoder-agent';
import { Logger, LogLevel } from '@measey/mycoder-agent';

// Create a logger
const logger = new Logger({ name: 'MyAgent', logLevel: LogLevel.info });

// Define available tools
const tools = [textEditorTool, shellStartTool];

// Run the agent
const result = await toolAgent(
  'Write a simple Node.js HTTP server and save it to server.js',
  tools,
  {
    getSystemPrompt: () => 'You are a helpful coding assistant...',
    maxIterations: 10,
  },
  {
    logger,
    provider: 'anthropic',
    model: 'claude-3-opus-20240229',
    apiKey: process.env.ANTHROPIC_API_KEY,
    workingDirectory: process.cwd(),
  },
);

console.log('Agent result:', result);

Contributing

We welcome contributions! Please see our CONTRIBUTING.md for development workflow and guidelines.

License

MIT