AI Agent Demo is an open-source showcase of building intelligent agents with Python and LangChain. It integrates OpenAI GPT models, web search via SerpAPI, memory storage with local vector stores, and custom function calling. Users can interact via CLI or FastAPI endpoints for chat, voice, and code execution. This demo highlights modular design, enabling rapid prototyping of agents capable of web crawling, context-aware memory, and dynamic task execution.
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AI Agent Demo
AI Agent Demo is an open-source showcase of building intelligent agents with Python and LangChain. It integrates OpenAI GPT models, web search via SerpAPI, memory storage with local vector stores, and custom function calling. Users can interact via CLI or FastAPI endpoints for chat, voice, and code execution. This demo highlights modular design, enabling rapid prototyping of agents capable of web crawling, context-aware memory, and dynamic task execution.
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What is AI Agent Demo?
AI Agent Demo provides a versatile template for constructing AI agents that can interact with users and external data sources. It leverages LangChain to orchestrate chains, tools, and memory modules, enabling the agent to perform tasks such as web searches via SerpAPI, summarize web content, maintain conversation history with vector-based memory, and execute code snippets through a secure Python REPL tool. The agent exposes CLI commands and HTTP endpoints via FastAPI, supporting both text and voice input. Developers can customize tool definitions and chain logic to tailor agents for customer support, data retrieval, or automated workflows. The modular architecture simplifies integration of new capabilities like database queries or third-party APIs.
Who will use AI Agent Demo?
- Software developers
- AI researchers
- Data scientists
- DevOps engineers
- Educators and students exploring AI agent design
How to use the AI Agent Demo?
- Step1: Clone the repository: git clone https://github.com/Liu-Shihao/ai-agent-demo.git
- Step2: Install dependencies: pip install -r requirements.txt
- Step3: Set environment variables: OPENAI_API_KEY, SERPAPI_API_KEY
- Step4: Run the FastAPI server: uvicorn app:app --reload or launch CLI: python cli.py
- Step5: Interact via CLI commands or HTTP endpoints (e.g., /chat, /voice)
- Step6: Customize tools in tools.py and adjust chain logic in main.py
- Step7: Extend memory, add new tools or integrate other APIs as needed
Platform
- Web
- Linux
- Mac
- Windows
AI Agent Demo's Core Features & Benefits
The Core Features
- LangChain integration
- OpenAI GPT support
- Web search via SerpAPI
- Vector-based memory
- Function calling tools
- Secure code execution REPL
- CLI and FastAPI interface
- Voice interaction support
The Benefits
- Modular architecture
- Quick prototyping
- Easy customization
- Supports multi-modal input
- Persistent chat history
- Developer-friendly example
AI Agent Demo's Main Use Cases & Applications
- Building conversational customer support bots
- Automated web data retrieval and summarization
- On-the-fly code generation and execution
- Personalized assistants with memory
- AI workshops and education demos
FAQs of AI Agent Demo
AI Agent Demo Company Information
- Liu-Shihao
AI Agent Demo Reviews
5/5
AI Agent Demo's Main Competitors and alternatives?
AutoGPT
BabyAGI
LangChain Agents
Microsoft Bot Framework
RASA
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