Openai Agents Chat Demo
O

Openai Agents Chat Demo

An intelligent chatbot based on the OpenAI Agents framework, supporting custom tool extensions and web interaction.
2.5 points
9.6K

What is OpenAI Agents Chat Demo?

This is an intelligent dialogue system developed based on the OpenAI Agents framework, which can understand natural language and perform specific tasks. It integrates a custom LLM model and an MCP server, and supports extending its capabilities through functional tools.

How to use OpenAI Agents Chat Demo?

Converse with the robot through a simple web interface, and the system will automatically process your requests. Developers can extend custom tools to enhance functionality.

Use cases

Suitable for scenarios requiring natural language interaction, such as intelligent customer service, personal assistants, and task automation. Developers can build more complex dialogue applications based on this.

Main features

Intelligent dialogue
Natural language understanding and generation capabilities based on the OpenAI Agents framework
Tool extension
Supports extending the robot's capabilities through custom tool functions
Web interface
Provides a simple web interaction interface for easy user use
Context management
Supports dialogue history records and context understanding
Advantages
Based on the powerful OpenAI Agents framework
Easy-to-extend custom tool support
Intuitive web interaction interface
Supports dialogue context understanding
Limitations
Requires an OpenAI API key
Custom tool development requires programming knowledge
Performance depends on the quality of the network connection

How to use

Install dependencies
Ensure that Python 3.8+ is installed, and then run the following command to install the required dependencies
Configure API key
Configure your LLM API key and other necessary settings in config.py
Run the application
Start the web server
Start using
Access http://localhost:8050 in your browser to start interacting with the chatbot

Usage examples

Simple Q&A
Have basic Q&A conversations with the robot
Tool call
Use the integrated tool functions to complete specific tasks
Context dialogue
Have continuous conversations based on the previous dialogue content

Frequently Asked Questions

What kind of API key is required?
How to add custom tools?
Can it be deployed to a production environment?
Which languages are supported?

Related resources

OpenAI official documentation
Official documentation for the OpenAI API
Project GitHub repository
Source code for this project
Flask framework documentation
Documentation for the web framework

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.2K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
8.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
15.7K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.4K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
10.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
37.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.6K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
79.5K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
71.2K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.0K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.8K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.8K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase