https://github.com/sendbird/delight-ai-agent
Sendbird AI-Agent
https://github.com/sendbird/delight-ai-agent
ai ai-agent-framework ai-agents ai-chat ai-chatbot ai-chatbots ai-client ai-framework aiagent
Last synced: 3 months ago
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Sendbird AI-Agent
- Host: GitHub
- URL: https://github.com/sendbird/delight-ai-agent
- Owner: sendbird
- Created: 2025-03-07T07:53:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2026-03-06T06:24:37.000Z (3 months ago)
- Last Synced: 2026-03-06T10:54:10.917Z (3 months ago)
- Topics: ai, ai-agent-framework, ai-agents, ai-chat, ai-chatbot, ai-chatbots, ai-client, ai-framework, aiagent
- Language: TypeScript
- Homepage: https://sendbird.com/ai-agent
- Size: 74.9 MB
- Stars: 19
- Watchers: 4
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Delight AI agent
**Delight AI agent** is an enterprise-grade, omnichannel AI solution designed to revolutionize customer service.
Unlike traditional chatbots, Delight AI agents understand intent, maintain context, take action, and adapt over time, delivering natural, human-like conversations that resolve complex issues and escalate seamlessly when needed. ([delight.ai](https://delight.ai/ai-agent?utm_source=chatgpt.com))
## Features
- **Omnichannel Support**: Integrates with SMS, email, WhatsApp, in-app chat, web, and social messaging platforms, ensuring your AI agent is always available where your customers are. ([delight.ai](https://delight.ai/ai-agent?utm_source=chatgpt.com))
- **Contextual Understanding**: Maintains conversation context across channels, allowing the AI agent to pick up the conversation exactly where the customer left off.
- **Proactive Engagement**: Anticipates customer needs and initiates conversations on preferred channels before issues arise.
- **Unified Customer Insights**: Transforms omnichannel conversations into unified customer insights to inform smarter business decisions. ([delight.ai](https://delight.ai/?utm_source=chatgpt.com))
- **Seamless Integrations**: Connects with customer support software like Salesforce, Zendesk, Notion, and Google Drive, allowing the AI agent to be trained using your existing content. ([delight.ai](https://delight.ai/ai-agent/builder?utm_source=chatgpt.com))
## Getting Started
To integrate Delight AI agent into your application, follow these steps:
1. **Log in to your dedicated Delight AI dashboard**.
2. **Check the identifiers**: In the dashboard, go to **Channels → Messenger → Basic information** to check the Application ID and AI Agent ID.
3. **Integrate SDK**: Depending on your platform (iOS, Android, Web), integrate the appropriate Delight AI agent SDK into your application.
4. **Initialize AI Agent**: Use the Application ID and Agent ID to initialize the AI agent within your application. You can find it under the **Channels** > **Messenger** menu on the Delight AI dashboard.
## Repository Structure
This repository contains platform-specific implementations and customer guides for the Delight AI agent:
- **JavaScript**: Located in the `js` directory, includes:
- Documentation guides for React and CDN integration
- Interactive live examples
- Downloadable sample projects for local development
- **iOS**: Located in the `ios` directory, includes Swift integration guides and sample applications.
- **Android**: Located in the `android` directory, includes Android integration documentation.
### JavaScript Sample Projects
Each JavaScript platform directory contains a ready-to-run sample project:
- **`js/react/sample/`**: Vite + TypeScript + React sample with full AI Agent integration
- **`js/cdn/sample/`**: Vite + Vanilla JavaScript sample using CDN integration
Both samples demonstrate:
- Basic AI Agent Messenger integration
- User authentication and session handling
- Context configuration
- Manual messenger controls
To run the samples locally:
```bash
cd js/react/sample # or js/cdn/sample
npm install
npm run dev
```
Each platform-specific directory contains its own README with detailed integration instructions.
## Documentation
For comprehensive documentation, including API references and advanced configuration options, visit the [Delight AI agent documentation](https://docs.delight.ai).
## Support
If you encounter any issues or have questions, please open an issue in this repository or [Contact Sales](https://delight.ai/contact-sales).
## License
This project is licensed under the [MIT License](LICENSE).
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For more information on Delight's AI Agent platform and its capabilities, visit the [official website](https://delight.ai/ai-agent).