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LibPrompt

Prompt engineering library for structured AI agent development and scientific computing agents.

Overview​

LibPrompt provides utilities, templates, and patterns for engineering prompts for AI agents. Designed specifically for scientific applications, research automation, and HPC task orchestration.

Key Features​

  • Structured Prompt Templates: Pre-built templates for common scientific tasks
  • Agent-Focused Design: Optimized for agent-based workflows and agentic loops
  • Scientific Patterns: Domain-specific prompting patterns for research automation
  • HPC Integration: Templates for HPC task orchestration and resource management
  • Reusable Components: Build blocks for constructing complex agent prompts

Technology Stack​

  • Language: Python
  • Tags: Prompting, AI Agents, Experimental, Science, Research Automation
  • Source Organization: Community

Repository​

📦 GitHub: akougkas/libprompt

Use Cases​

  • Designing effective prompts for research agents
  • Automating scientific task planning
  • HPC workflow coordination through natural language
  • Building specialized research automation agents

Getting Started​

Visit the LibPrompt GitHub repository for documentation, templates, and examples.

Status​

Experimental - Under active development. Contributions welcome.