Graphify-Labs/graphify
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
Awesome AI Agents › Knowledge Graph Orchestration
VacAIgent is an innovative project that leverages the CrewAI framework to create autonomous AI agents designed to collaboratively plan vacations. The project integrates a user-friendly Streamlit interface, making it accessible and interactive for users who want tailored travel plans based on their preferences. The core functionality revolves around AI agents that role-play different tasks such as deciding on cities to visit and crafting detailed itineraries, all orchestrated seamlessly through CrewAI. This framework simplifies the management and collaboration of multiple AI agents, enabling them to execute complex trip planning tasks efficiently. The Streamlit integration transforms the application into an interactive web app where users can input their trip details and receive customized travel plans. The project includes various components such as task prompts for agents, agent management, and tool classes that assist the agents in gathering and processing information. It supports advanced AI models like GPT-4 by default, with options to switch to GPT-3.5 or even local models like Ollama for enhanced privacy, customization, and performance. VacAIgent requires environment configuration for services like Browseless, Serper, and OpenAI, and provides clear instructions for installation and running the app. The project is open-sourced under the MIT License, encouraging community use and contribution. Overall, VacAIgent exemplifies the use of autonomous AI agents in practical applications, enhancing the trip planning experience by automating complex decision-making processes and providing an accessible interface for end-users.
https://github.com/tonykipkemboi/trip_planner_agent
Graphify turns any codebase, including documentation and other files, into a queryable knowledge graph using local AST parsing, without relying on vector stores or embeddings.
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