The desktop-level browser workspace for EvoScientist, designed to make Vibe Research feel natural. By bringing evolving memory, research skills, multi-agent workflows, and workspace management together in one place, it helps researchers spend less time managing information and more time exploring ideas — so scientific discovery can move faster.

Tip

Looking for the engine behind this UI? Check out EvoScientist — the multi-agent AI scientist — and EvoSkills, its ready-to-use research skill packs. This WebUI is a thin, zero-touch client: it talks to a running EvoScientist deployment over the LangGraph SDK and adds nothing to your backend.

✨ Features

💬 Streaming Chat — Real-time responses with Markdown, GFM tables, code highlighting, and collapsible thinking/reasoning blocks.
👋 Human-in-the-Loop — Approve / reject / edit tool calls, and answer the agent's structured questions (text + multiple-choice) inline.
⚡ Per-Thread Auto-Approve — Persisted per conversation; survives view and thread switches and reloads.
🤖 Sub-Agent Activity — Live step tracking for sub-agents, rendered exactly like the main agent (tool calls + paired results + tables).
🗂️ Workspace Browser — Tree and by-type (Papers / Figures / Data / Code) views with preview, edit, download, and zip-all.
🧠 Memory Browser — View, edit, and manage EvoScientist's global cross-session memory, with "recently updated" highlights and a nav badge.
🔌 Skills Marketplace — Install, update, and uninstall the official EvoSkills catalog with version detection and a detail dialog.
📡 Agents Monitor Board — Watch async background agents (writing / data-analysis) with real run status, live duration, and a side-chat for direct worker debugging.
🔁 Async Agent Communication — Optional per-thread auto-report loops finished background results back to the main agent.
🪄 Compaction Summary — When the backend compacts a long conversation, the summary is shown as a clean collapsible block instead of flashing by.
🩺 Connection Health & Resilience — Health light, stale-URL one-click reconnect, and refresh-resumable streams.
🎨 Themed & Responsive — Light/dark warm "paper" theme with EvoScientist cyan accent; desktop split panes and mobile drawers.

📦 Prerequisites

EvoScientist installed and configured (EvoSci onboard).
Node.js 20+ — the WebUI mode launches the front-end for you.

⚡ Quick Start

Option A — via EvoScientist (recommended)

The WebUI ships with EvoScientist — just pick it during setup. Run the onboarding wizard and choose WebUI as your UI mode:

EvoSci onboard        # select "WebUI" when asked for the UI mode

Then launch EvoScientist as usual — it starts the backend and the WebUI together and opens your browser:

EvoSci                # opens http://localhost:4716

That's it — start chatting.

Option B — standalone

Start the EvoScientist backend in one terminal:

EvoSci deploy         # serves the LangGraph API at http://127.0.0.1:6174

Then launch the WebUI in another (no install required):

npx @evoscientist/webui@latest                  # opens http://localhost:4716
npx @evoscientist/webui@latest --port 5000      # or pick a custom front-end port

Open the URL, confirm the prefilled Deployment URL (auto-detected, default http://127.0.0.1:6174), click Save, and start chatting.

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🔑 Configuration

Deployment URL — the EvoScientist LangGraph endpoint (default http://127.0.0.1:6174, the EvoSci deploy default port). Saved in your browser's local storage.
The UI always talks to the EvoScientist main agent; its sub-agents (writing-agent, data-analysis-agent) are internal and not user-selectable.
(Optional, advanced) Set NEXT_PUBLIC_LANGSMITH_API_KEY if you connect to a deployment that requires LangSmith authentication.

Tip

If the backend changes ports, the health light detects the dead connection and offers a one-click Reconnect to the newly detected port.

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🎨 Designed By

_{Xi Zhang}

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🤝 Contributing

We welcome contributions! See the Contributing Guidelines for development setup, project structure, the zero-touch-backend principle, scripts, and the release flow.

Every contribution brings us one step closer to a future where AI accelerates scientific breakthroughs for all of humanity.

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📚 Acknowledgments

This project builds upon the following outstanding open-source work:

LangGraph — A low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
deep-agents-ui — The LangChain reference UI for deep agents, which this project builds upon.

We thank the authors for their valuable contributions to the open-source community.

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📜 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

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