The Archon Web UI is the built-in browser interface that ships with the server — no tokens, API keys, or external services required beyond what Archon itself needs. This page covers every part of the UI: starting the server, navigating the interface, running and monitoring workflows, building new workflows visually, and talking to the API directly via SSE or REST.Documentation Index
Fetch the complete documentation index at: https://mintlify.com/coleam00/Archon/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
- Archon installed with dependencies resolved (
bun install) - An Anthropic API key or Claude Code authentication — see AI Assistants
Starting the Web UI
Development mode (recommended)
Run both the backend API server and the Vite frontend together with hot reload:You can also start each piece individually:
Production mode
Build the frontend into static files and serve everything from a single port:In production mode the backend serves the compiled frontend at
http://localhost:3090 — there is no separate frontend URL.Remote / homelab access
The backend binds to Then start the backend separately with
0.0.0.0 by default. The Vite dev server only listens on localhost. To expose the frontend on your network:bun run dev:server. The Web UI is reachable at http://<server-ip>:5173. Make sure your firewall allows ports 5173 and 3090.Interface overview
The Web UI is a dark-themed single-page application split into four main areas.Left sidebar
Conversations list, project selector, and the workflow invoker quick-launch panel.
Main chat area
Real-time streaming chat with the AI assistant, including collapsible tool-call cards.
Command Center
Live workflow monitor at
/dashboard — status summary, run cards, and approval actions.Settings
Configure assistant defaults and manage registered projects at
/settings.Left sidebar
- Conversations list — all your conversations, searchable and grouped by project. Click to switch; right-click or hover for rename/delete.
- Project selector — registered codebases appear here. Select a project to scope conversations and workflows to that repository. Register new projects with the + button (clone from URL or register a local path).
- Workflow invoker — select a workflow from the dropdown, type a message, and click Run to create a new conversation and start the workflow in one action.
Main chat area
The center of the screen is the standard chat interface. AI responses stream in real time. When the assistant uses tools (reading files, running commands, editing code), each tool call appears as a collapsible card showing the tool name, input arguments, and output. A lock indicator appears while the agent is actively working.Chat interface
Creating conversations
Click New Chat in the sidebar, or use the workflow invoker to create a conversation that immediately starts a workflow. Each conversation gets a unique ID and persists across page refreshes. If a project is selected in the sidebar, new conversations are automatically scoped to that codebase.Sending messages
Type in the message input at the bottom and press Enter (or click Send). Messages can be:- Natural language — the AI assistant responds conversationally, using tools to explore and modify code
- Slash commands —
/status,/workflow list,/help, and others, handled deterministically without AI - Workflow triggers — messages like “fix issue #42” or “review this PR” are routed to the appropriate workflow automatically
Connection status
A status indicator shows whether the SSE connection to the backend is active. If you see “disconnected”, verify the backend is running and refresh the page.Workflow execution
Three ways to run a workflow
- Sidebar workflow invoker — select a workflow, type a message, and click Run
- Chat message — describe what you want; the router picks the right workflow automatically
- Slash command —
/workflow run <name> <message>for explicit invocation
Foreground vs background execution
By default, workflows run in the background — a progress card appears in the conversation while the workflow executes in a separate worker. You can continue chatting or start other workflows. Workflows withinteractive: true in their YAML definition run in the foreground. This is required for workflows with approval gates or interactive loop nodes.
Workflow progress cards
While a workflow runs, a progress card shows:- Current status (running, completed, failed, paused)
- Which DAG node is currently executing
- Per-node status indicators and elapsed time
Workflow result card
When a workflow reaches a terminal state (completed, failed, or cancelled), the progress card is replaced by a result card showing:- Status icon and header
- Node count (e.g.
3/4 nodes) - Total duration
- Artifacts — any files produced, with direct links
Command Center (dashboard)
Accessible at/dashboard, the Command Center shows all workflow runs across your projects in real time via a dedicated SSE stream.
| Element | Description |
|---|---|
| Status summary bar | Counts of running, completed, failed, and paused runs |
| Workflow run cards | Status, name, elapsed time, and node progress for each run |
| Actions | Resume, cancel, abandon, approve, or reject runs |
| History table | Paginated list of past runs with date range filtering |
Workflow Builder
The visual editor at/workflows/builder lets you create and modify workflow YAML files without hand-editing.
- DAG canvas — drag-and-drop nodes to build your workflow graph visually
- Node palette — drag command, prompt, and bash nodes from the sidebar; additional node types (script, loop, approval, cancel) are editable in Code / Split view
- Node inspector — click a node to configure its properties in a tabbed panel
- View modes — toggle between Visual, Split (canvas + YAML side by side), and Code views
- Validation panel — real-time feedback as you build
- Undo/redo — full undo/redo stack with keyboard shortcuts (
Ctrl+Z/Ctrl+Shift+Z) - Save — writes the workflow YAML to your project’s
.archon/workflows/directory
/workflows and open any of them in the builder to edit.
SSE streaming
The Web UI uses Server-Sent Events (SSE) for real-time communication. When you open a conversation the frontend opens a persistent connection to/api/stream/:conversationId.
| Event type | Description |
|---|---|
text | AI response text (batched for performance) |
tool_call | Tool invocation with arguments |
tool_result | Tool execution result |
workflow_step | Workflow node status change |
workflow_status | Overall workflow run status update |
workflow_dispatch | Workflow started for this conversation |
dag_node | DAG node progress update |
workflow_artifact | Artifact produced by a workflow |
conversation_lock | Lock/unlock indicator |
session_info | Session metadata |
error | Error message |
heartbeat | Keep-alive signal |
/api/stream/__dashboard__ multiplexes workflow events across all conversations to power the Command Center’s live updates.
Using the REST API directly
You can drive Archon without the Web UI. The API server runs on port3090 (or whichever port you configure).
GET /api/openapi.json. See the API Reference for the full endpoint list.
Managing projects
Registering a project
- Click + in the sidebar or go to Settings → Projects
- Enter a GitHub URL or a local path
- Inputs starting with
https://,ssh://,git@, orgit://are treated as remote URLs and cloned - Everything else is treated as a local path and registered in place
- Inputs starting with
- The codebase appears in the project selector
POST /api/codebases with a url field (clone) or a path field (local).
Switching projects
Click a project in the sidebar to scope your conversations and workflows. The selected project determines which.archon/commands/ and .archon/workflows/ are loaded, the working directory for AI tool execution, and which isolation environments are shown.
Removing a project
Hover over a project in the sidebar and click the delete icon, orDELETE /api/codebases/:id. This removes the registration but does not delete cloned files.
Further reading
Authoring workflows
Create custom multi-step workflows with the YAML format.
API reference
Full REST API documentation for every endpoint.
Configuration
Customize Archon defaults and per-project settings.
Deployment
Run Archon with Docker for persistent, production-ready hosting.