Agentica is a TypeScript-based AI function calling framework that enhances capabilities with advanced compiler skills. It supports multi-agent systems and integrates seamlessly with various AI models for efficient function execution.
claude install wrtnlabs/agenticahttps://wrtnlabs.io/agentica/docs/
Build AI-driven chatbots that can interact with users in natural language.
Integrate AI functions into existing applications to enhance their capabilities.
Create multi-agent systems that can collaborate on complex tasks efficiently.
Enhance retrieval-augmented generation workflows to improve information retrieval.
claude install wrtnlabs/agenticagit clone https://github.com/wrtnlabs/agenticaCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm developing an AI application for [COMPANY] in the [INDUSTRY] sector. Can you help me understand how to implement Agentica for efficient function execution and multi-agent systems integration?
### Implementation Guide for Agentica To implement Agentica in your AI application, follow these steps: - **Set Up Your Environment**: Ensure you have TypeScript installed and your project is configured to support Agentica. - **Define Your Agents**: Create multiple agents that can communicate and execute functions in parallel, enhancing performance. - **Utilize Compiler Skills**: Leverage Agentica's advanced compiler features to optimize your function calls and ensure efficient execution. By following these steps, you can significantly improve your application's responsiveness and scalability.
Unlock data insights with interactive dashboards and collaborative analytics capabilities.
The new way to work
Orchestrate workloads with multi-cloud support, job scheduling, and integrated service discovery features.
Design, document, and generate code for APIs with interactive tools for developers.
Manage CI/CD processes efficiently with build configuration as code and multi-language support.
Enhance performance monitoring and root cause analysis with real-time distributed tracing.