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Chainlit is an open-source framework designed to help developers build conversational AI applications quickly and efficiently. Created by the Chainlit team, it solves the problem of integrating AI models into user-friendly chat interfaces with minimal boilerplate code. The core capabilities include a Python SDK for building chat apps, built-in authentication, deployment options as standalone web apps or embedded copilots, and integrations with popular LLM providers like OpenAI, Mistral, LangGraph, and LlamaIndex. It also supports customization of the frontend and creation of custom chat components. Chainlit is ideal for developers and enterprises looking to ship ambitious and reliable AI applications, from simple chatbots to complex multi-step conversational workflows. The framework is trusted by over 50,000 monthly developers and has a strong community on GitHub and Discord.
4.5/5
High, consistent, and on-brand
Clean and minimal
To enable developers to build and deploy conversational AI applications with ease.
Works with Python, integrates with OpenAI, Mistral, LangGraph, LlamaIndex, HuggingFace, and more.
Open-source with free self-hosted option; cloud hosting available with paid tiers.
Features with the highest value for users are highlighted here.
Python-based chat app development
Multi-platform deployment
OAuth authentication support
Customizable frontend and components
Integrations with OpenAI, Mistral, LangGraph, LlamaIndex, HuggingFace
Step-by-step processing and feedback collection
Open-source framework with active community
AI Developers
Enterprise Teams
Startups
Data Scientists
Product Managers
Open Source Contributors
Freelance Developers
Tech Educators
Hobbyists
Customer Support Teams
Free (Self-Hosted)
Cloud Starter
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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