Automation Chatbot is an open-source AI agent framework built with Node.js and TypeScript, leveraging OpenAI and Chroma. It integrates with Slack, Google Workspace, and other APIs to perform automated tasks via chat. It supports conversational memory, scheduling, and dynamic plugin-like actions. Developers can customize prompts, add connectors, and deploy on cloud or local environments to automate workflows seamlessly.
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Automation Chatbot
Automation Chatbot is an open-source AI agent framework built with Node.js and TypeScript, leveraging OpenAI and Chroma. It integrates with Slack, Google Workspace, and other APIs to perform automated tasks via chat. It supports conversational memory, scheduling, and dynamic plugin-like actions. Developers can customize prompts, add connectors, and deploy on cloud or local environments to automate workflows seamlessly.
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What is Automation Chatbot?
Automation Chatbot is designed to streamline repetitive workflows by allowing users to interact with connected services through conversational AI. Powered by OpenAI models and a Chroma vector store, the agent maintains context across sessions, recalls past interactions, and executes actions in platforms like Slack, Google Drive, and Calendar. With a modular connector architecture, developers can add new integrations for email, file management, or custom APIs. A built-in scheduling module enables automated triggers based on time or events. Using TypeScript definitions, the system validates input/output and generates code snippets automatically. The framework can run on local machines or containerized environments, providing extensibility and security controls like OAuth2 and API key management. This empowers organizations to deploy chat-driven automation tailored to their operational needs.
Who will use Automation Chatbot?
- Developers
- DevOps engineers
- IT administrators
- Business analysts
- Operations teams
How to use the Automation Chatbot?
- Step1: Clone the Automation-Chatbot repository from GitHub
- Step2: Run npm install to install dependencies
- Step3: Create a .env file and configure OpenAI, Chroma, and connector API keys
- Step4: Customize or add connector modules in the src/connectors directory
- Step5: Define workflows and prompts in the TypeScript schema files
- Step6: Start the agent with npm run start
- Step7: Integrate with Slack by installing the Slack app and setting callbacks
- Step8: Use chat commands to trigger automated tasks and monitor logs
Platform
- Linux
- Mac
- Windows
Automation Chatbot's Core Features & Benefits
The Core Features
- Conversational AI with OpenAI LLMs
- Contextual memory via Chroma vector store
- Integrations with Slack, Google Drive, Calendar
- Scheduling and trigger-based automation
- Modular connector architecture for custom APIs
- TypeScript-based schema validation
The Benefits
- Automates repetitive tasks through chat
- Reduces manual overhead and errors
- Easily extensible with new integrations
- Maintains context across sessions
- Secure credential management
- Open-source and customizable
Automation Chatbot's Main Use Cases & Applications
- Automating Slack-based workflows
- Managing Google Drive files via chat commands
- Scheduling meetings and reminders
- Processing emails and attachments
- Custom API-driven task execution
FAQs of Automation Chatbot
Automation Chatbot Company Information
Automation Chatbot Reviews
5/5
Automation Chatbot's Main Competitors and alternatives?
LangChain Agents
AI-CLI
Rasa
Botpress
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