Self-Hosted Flask Chatbot in Python

Do you want to integrate a chatbot into your website, application or business tool without building the entire conversational architecture from scratch?

This Flask chatbot gives you a complete, working foundation: modular Python backend, web interface, embeddable widget, persistent memory, local knowledge base and optional external AI integration.

Don't Build Your Entire Chatbot Foundation from Scratch

The architecture is already structured to separate the backend, interface, data and conversational logic. You can start with a working system and adapt it directly to the needs of your project.

The chatbot can be used in an internal tool, business application, website or documentation system, either as a complete integration or simply as an embeddable widget.

Local Operation or External AI: You Choose

The chatbot can run entirely from its local knowledge base, with no external AI service required. An external AI provider can also be connected through an API whenever your project requires it.

You remain in control of how the chatbot works, where its data is stored and which AI provider, if any, is used.

Complete Source Code, Ready to Adapt

The product includes the complete source code, configuration files and technical documentation required to integrate, modify and deploy the chatbot in your own environment.

The chatbot offers three operating modes. In local mode, responses are based on a JSON knowledge base. External AI mode allows you to enable an AI provider via an API key, while strict mode limits responses to the internal knowledge base to maintain controlled operation.

The architecture notably includes:

• modular Flask backend separated from the interface
• complete web interface with light / dark mode
• floating widget embeddable on any website
• persistent memory via SQLite with session management
• local browser-side history
• typing effect for natural interaction
• locally editable knowledge base

All data can remain local as long as no external AI is enabled. The architecture supports optional integration through an API key, without requiring any specific provider. The system does not perform automatic learning or maintain global persistent memory, ensuring predictable and controlled behavior.

Building a functional chatbot is not only about connecting an API or displaying an interface. The most time-consuming part is defining a stable, predictable, and maintainable architecture.

This product provides that technical foundation from the start, avoiding the initial structuring phase, uncertain technical decisions, and early rewrites that commonly occur during first implementations.

It allows developers to start from a working, readable structure that can be directly adapted to real-world projects.

Terms of Use

This product is provided with comprehensive technical documentation. It does not include installation, ongoing maintenance or personalized assistance.

Integration, customization and deployment remain the user's responsibility, allowing them to retain full control over their technical environment. If required, these services can be provided by Palks Studio as a separate service.