Back to Agents
langstar
SurvivorsStudio May 9, 2025
10 copies 0 downloads
About A visual interface for creating and customizing LLM agents using drag-and-drop components. Designed for both developers and non-developers.
Agent Definition
 # 🌟 LangStar [English](#english) | [한국어](#korean) --- <a name="english"></a> ## English Version > 🚧 **LangStar is currently under development.** > This project is currently in active development. Features, structure, and documentation may change frequently. **LangStar** is a visual no-code/low-code platform that enables both developers and non-developers to easily build **LLM-based agents** through a **drag-and-drop** interface. Built workflows are automatically converted to **Python code** and can be deployed. --- ### 🎯 Project Goals - Lower the barrier to entry for LLM agent development - Provide intuitive drag-and-drop based visual modeling - Automatically generate clean, modularized Python code - Provide one-click deployment and testing environment - Save development time and improve accessibility --- ### 📤 Key Features #### 🎨 Visual Workflow Builder - Compose LLM agent workflows with **drag-and-drop interface** - **Real-time node connection** and data flow visualization - Support for **individual node execution** and debugging #### 🔧 Various Node Types - **Start Node**: Workflow starting point and initial variable setup - **Prompt Node**: Prompt template creation and variable substitution - **Agent Node**: LLM model execution (AWS Bedrock support) - **Function Node**: User-defined Python function execution - **User Node**: Custom Python code blocks - **Condition Node**: Conditional branching - **Merge Node**: Multi-input data merging - **End Node**: Workflow termination point #### 🤖 AI Model Connection Management - **AWS Bedrock** fully supported (Gemini, Nova, etc.) - **OpenAI, Google, Anthropic** UI support (backend integration in progress) - **API key and configuration management** - **Model parameter adjustment** (temperature, max tokens, etc.) #### 🚀 Local Execution and Testing - **Automatic LangGraph code generation** - **Local execution environment** and testing - **Execution versio
Comments
More Agents
View allresearch
NotebookLM
Google's AI-powered research notebook that ingests your documents and becomes an expert on your content. Generates audio overviews, study guides, FAQs, and interactive discussions from uploaded sources.
G
Googlebrowser
Project Mariner (Browser Agent)
Google DeepMind's experimental AI agent that can navigate websites, fill forms, and complete multi-step browser tasks autonomously. Uses Gemini's multimodal understanding to interact with web interfaces.
G
Google DeepMindmultimodal
Project Astra (Multimodal Agent)
Google DeepMind's universal AI assistant prototype that can see, hear, and respond in real-time through your device camera and microphone. Demonstrates the future of multimodal AI interaction.
G
Google DeepMindenterprise
Gemini Enterprise Agent Platform
Google Cloud's enterprise platform for building, deploying, and managing AI agents powered by Gemini. Supports multi-agent orchestration, tool integration, and enterprise governance.
G
Google Cloudresearch
Gemini Deep Research Agent
Gemini's agentic research capability that autonomously browses the web, synthesizes information from dozens of sources, and produces comprehensive research reports on any topic.
G
Googlecanvas
Gemini Canvas Agent
Interactive coding and content creation agent that generates, previews, and iterates on code, documents, and interactive applications in a side panel. Supports HTML/CSS/JS, Python, and more.
G
Google