examples

NodeTool Core Examples

This directory contains example scripts that demonstrate how to use NodeTool Core for various use cases.

Prerequisites

Before running these examples, you'll need to:

1. Install NodeTool Core

   pip install nodetool-core

2. Set up necessary API keys

   nodetool settings edit
   

Available Examples

1. Web Research and Analysis

Wikipedia-Style Research Agent (wikipedia_agent_example.py)

• Creates Wikipedia-style documentation through web research
• Structures content into well-organized markdown files
• Uses web search and browsing capabilities

ChromaDB Research Agent (chromadb_research_agent.py)

• Processes and indexes documents using ChromaDB
• Enables semantic search across indexed content
• Performs research using stored documents

HackerNews Agent (test_hackernews_agent.py)

• Analyzes HackerNews content and discussions
• Gathers insights from tech community discussions

2. Social Media Analysis Agents

Twitter/X Scraper (twitter_scraper_agent.py)

• Collects trending topics and viral content
• Analyzes social media patterns

Instagram Scraper (instagram_scraper_agent.py)

• Tracks trending content and hashtags
• Analyzes platform-specific trends

Reddit Scraper (reddit_scraper_agent.py)

• Gathers information from Reddit discussions
• Analyzes community trends and opinions

3. Professional Research Tools

LinkedIn Job Market Agent (linkedin_job_market_agent.py)

• Researches current job market trends
• Analyzes hiring patterns and industry demands

Google Search Agent (test_google_agent.py)

• Demonstrates advanced Google search capabilities
• Collects and organizes search results

4. Utility Agents

Email Processing (test_email_agent.py)

• Demonstrates email retrieval and processing
• Shows email content analysis capabilities

OpenAI Web Search (test_openai_web_search.py)

• Integrates OpenAI's capabilities with web search
• Shows combined AI and search functionality

Running the Examples

To run any of these examples:

1. Ensure you have NodeTool installed and configured
2. Set up the required API keys for the chosen providers
3. Run the script using Python:

python examples/wikipedia_agent_example.py

Each example will:

• Create a workspace directory for storing outputs
• Connect to the specified AI provider
• Execute the tasks and display progress
• Save results to the workspace directory

Key Concepts

• Agent: An AI assistant configured with specific tools and capabilities
• Tools: Components that enable agents to interact with external systems
• Tasks & Subtasks: Units of work defining what an agent needs to accomplish

Next Steps

After exploring these examples, you can:

1. Create custom agents for your specific use cases
2. Develop new tools to expand agent capabilities
3. Build more complex multi-agent systems
4. Integrate these capabilities into your applications

For more information, refer to the main NodeTool documentation.