Chainlit/chainlit
Build Conversational AI in minutes ⚡️ observed · 2026-08-28
Health v2 · maintenance only
93/100
- Activity 99
- Release rhythm 87
- Longevity 90
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 4
- age_days: 1268
- days_rel: 8
- days_push: 7
- n_releases_24m: 62
Adoption not part of the score
12407 stars · 1735 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Chainlit is an open-source Python framework for building production-ready conversational AI applications with a built-in chat UI. It provides decorators for handling chat events, streaming responses, authentication, data persistence, and integrations with LangChain, OpenAI, LlamaIndex, and MCP tool servers.
Use cases
- build a chatbot ui for an llm in python
- create a chatgpt-like web app with streaming responses
- add authentication to a conversational ai assistant
- prototype a langchain agent with a chat interface
- build a voice assistant with realtime audio
- connect mcp tools to a chat application
- let users upload files to a chat assistant
When to choose
- you want a ready-made chat UI without writing frontend code
- you need quick prototyping of LLM apps in pure Python
- you need auth, data persistence, and multi-step reasoning visualization out of the box
- you use LangChain, OpenAI, LlamaIndex, or Semantic Kernel and want first-class integrations
When to avoid
- you need full control over a custom frontend design
- you are building a non-conversational API or batch pipeline
- you need a framework in a language other than Python
- you want a lightweight headless backend without bundled UI
Facets
framework · maturity active
web-framework chat-interface chatbot agent-framework mcp auth ui-components websocket large-language-models chatbots web-development developer-tools python cross-platform self-hosted conversational-ai chat-ui llm-app-framework langchain-integration openai streaming copilot multi-modal ai-agents retrieval-augmented-generation web-server
10 sources
- readme: https://github.com/Chainlit/chainlit · fetched 2026-08-28 · a54d2dad1be5
- homepage: https://docs.chainlit.io · fetched 2026-08-29 · 522533ee676d
- site_page: https://docs.chainlit.io/get-started/installation · fetched 2026-08-29 · c70f4bfb9691
- site_page: https://docs.chainlit.io/advanced-features/streaming · fetched 2026-08-29 · 681738409df0
- site_page: https://docs.chainlit.io/advanced-features/mcp · fetched 2026-08-29 · 54197f6d60a5
- site_page: https://docs.chainlit.io/advanced-features/ask-user · fetched 2026-08-29 · 89a82d22e0db
- site_page: https://docs.chainlit.io/advanced-features/multi-modal · fetched 2026-08-29 · 3c0d6a014489
- site_page: https://docs.chainlit.io/advanced-features/chat-profiles · fetched 2026-08-29 · 11468e25458a
- site_page: https://docs.chainlit.io/advanced-features/chat-settings · fetched 2026-08-29 · ae6780804766
- site_page: https://docs.chainlit.io/advanced-features/test-debug · fetched 2026-08-29 · eb6e4706fbbc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Chainlit/chainlit | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="Chainlit/chainlit")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem