Chainlit was created to simplify conversational AI application development with beautiful, pre-built UI components.
| Year | Milestone |
|---|---|
| 2023 | Initial release, rapid community adoption |
| 2024 | 10,000+ GitHub stars, enterprise features launched |
| 2025 | May 1: Original team steps back, community takes over |
| 2026 | 11.7k+ GitHub stars, 163+ releases, 198 contributors |
Chainlit started as an open-source project to make building conversational AI applications accessible to Python developers. The key innovation was providing a pre-built chat interface that required minimal code.
| Feature | Description |
|---|---|
| Chat UI | Pre-built conversational interface |
| Streaming | Real-time token streaming |
| Elements | Images, PDFs, charts, dataframes |
| Actions | Interactive buttons and inputs |
| Authentication | Password and OAuth support |
| Sessions | Persistent chat sessions |
| Analytics | Conversation tracking |
| Integration | Purpose |
|---|---|
| LangChain | LLM application framework |
| LlamaIndex | RAG and document Q&A |
| OpenAI | GPT models and Assistants API |
| Anthropic | Claude models |
| Mistral AI | Mistral models |
| Semantic Kernel | Microsoft’s LLM framework |
| AutoGen | Multi-agent conversations |
Chainlit is built on these principles:
As of May 1st, 2025:
| Aspect | Status |
|---|---|
| Development | Community-maintained |
| Warranty | No warranty from Chainlit SAS |
| Support | Community support via Discord, GitHub |
| Updates | Community releases continue |
| Security | Community security patches |