agent-chat-ui vs OpenGenerativeUI
Two of the top agent ui and generative ui, side by side: score, setup, license, activity and what each review found.
agent-chat-ui
Next.js chat frontend for any LangGraph server with interrupts and artifacts
OpenGenerativeUI
Chat interface that answers with 3D models, charts, calculators and maps
| What we compare | agent-chat-ui | OpenGenerativeUI |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 74, popular | 63, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 31, patchy | 30, patchy |
| Easy to run | 0, hard | 0, hard |
| Agent-ready | 0, none | 40, minimal |
| Facts from GitHub and the README | ||
| Stars | 3.2k | 2.5k |
| License | MIT (permissive) | MIT (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | None published | None published |
| Language | TypeScript | TypeScript |
| Docker | No | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
agent-chat-ui
A Next.js frontend that connects to any LangGraph server exposing a messages key: enter the deployment URL and assistant ID (or set them as env vars) and you get streaming chat, tool-call rendering, human-in-the-loop interrupts and an artifacts side panel. A built-in API passthrough route injects your LangSmith key server-side for production. For teams that have a LangGraph backend and need a UI today.
Who it is for: Teams with a LangGraph backend that need a chat UI
Strengths
- Works against local and deployed LangGraph servers with no backend changes
- Hosted version at agentchat.vercel.app and an npx scaffold
- Message hiding and artifact rendering conventions are documented
- Tests included; committed within the last two days
Weaknesses
- The passthrough proxy does not authenticate callers; README warns it exposes your deployment
- Production auth requires custom LangGraph authentication and code edits
- LangGraph SDK only; no AG-UI or AI SDK stream support
- No persistence of its own; threads live in the LangGraph server
- TypeScript, langgraph
- Needs langgraph-server, langsmith-api-key-for-deployed-servers
- env example file
OpenGenerativeUI
Open Intelligent UI is a Next.js chat frontend backed by a Python Deep Agent (FastAPI) that decides per turn whether to reply with text, a native component, or custom HTML/CSS/JS streamed into a sandboxed iframe. A routing model called Jev picks A2UI for basic tables and Open Generative UI for charts, diagrams, calculators and maps. It is built on CopilotKit and AG-UI, with an optional standalone MCP server.
Who it is for: Frontend and agent developers prototyping generative UI chat apps
Strengths
- Generated UI runs in an isolated iframe with a validated host bridge
- Visitors can supply their own OpenAI and Jev keys, held only in browser memory
- Optional MCP server with HTTP, stdio and Docker configuration
- Provider failures are surfaced rather than silently swapped for another model
Weaknesses
- Needs both an OpenAI key and a TYPESAFE_API_KEY for Jev routing
- Requires Node 22+, pnpm 9+, Python 3.12+ and uv locally
- Output format varies per request because the router chooses the renderer
- No tagged release; no compose file
- TypeScript, OpenAI chat-latest, Jev jev-latest
- Needs OpenAI API, Jev (Typesafe) API, USGS map tiles
- Docker
- env example file