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Minimal Article Agent

oallesbyoalles
•
1
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Data Science & ML
Web Scraping & Data Collection
Content Management

Generates technical Markdown drafts through an Embabel agent, leveraging various tool groups for research and content creation.

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This tool provides a foundational example of an Embabel agent implemented in Java, specifically designed to automate the generation of technical Markdown article drafts. It allows users to understand and experiment with agent architecture, configure external tools for search and data retrieval, and extend its capabilities for more sophisticated content creation. The agent uses atomic, GOAP-like actions and integrates with powerful APIs like OpenAI and Brave search to gather information and structure articles.

Key Features

01Embabel agent architecture in Java for AI-driven content generation
02Configurable tool groups for web search, scraping, memory, and reasoning
03Utilizes atomic, GOAP-like actions and structured DTOs for planning and execution
04Integration with OpenAI for LLM capabilities and Brave Search for web access
05Local Docker support for MCP tools
060 GitHub stars

Use Cases

01Automating the drafting of technical articles and documentation
02Learning and experimenting with Embabel agent development in Java
03Extending agent functionality with custom actions and tool groups