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Chainlit

Active
GitHub Python Apache-2.0

Description

Python framework for building production-grade conversational AI interfaces with multimodal support, file uploads, intermediate step visualization, and agent workflow display.

Key Features

  • Build production-grade conversational AI UIs in minutes with pure Python
  • Native multimodal support for text, images, file uploads, and audio
  • Intermediate step visualization for transparent agent workflow display
  • First-class integration with LangChain, LlamaIndex, OpenAI, and Anthropic
  • Built-in user authentication, data persistence, and conversation history
  • Open-source under Apache 2.0, community-maintained since 2025

Use Cases

💡 RAG chatbots with visible retrieval and reasoning steps
💡 Customer support AI agents with file upload and escalation
💡 Internal tools for querying databases via natural language
💡 Prototyping LLM-powered products before production deployment
💡 Educational platforms requiring transparent AI decision-making

Strengths & Limitations

✅ Strengths

  • • Actively maintained, recent updates
  • • High community interest (12.4k stars)
  • • Permissive open-source license (Apache-2.0)
  • • Established track record (3 years in production)

Tags

chat-ui conversational-ai python multimodal web-ui

Categories

💬 Chat UI

Quick Start

pip install chainlit && chainlit hello — opens a hello app in your browser. For a custom app, create demo.py with @cl.on_message handler and run: chainlit run demo.py -w
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