praisonai dashboard command launches a unified interface that auto-starts Flow Builder, Claw, and Chat UI — one command to open all PraisonAI services.
Quick Start
1
One-command launch
Launch all services with a single command that auto-opens port 3000 and starts Flow, Claw, and Chat UI:This starts the unified dashboard on port 3000 and automatically launches all three services.
2
Standalone dashboard only
Use when services are already running or you want to manage them manually:This launches only the dashboard interface without starting the backend services.
3
Integrated Agent Dashboard
Use the new integrated agent host with unified UI pages:This launches the Pattern B in-process host with pages for chat, agents, memory, knowledge, skills, sessions, usage, config, and logs. Requires
pip install "praisonai[ui]".How It Works
The dashboard follows this process:Security
For production deployments:- Use a reverse proxy (nginx, Apache) with authentication
- Consider VPN access for remote management
- Review the Bot Security Guide for additional measures
Configuration Options
Ports Used
Log Files
Per-service logs are written to:Common Patterns
Expose dashboard on LAN
Attach to existing services
Use integrated agent host
Troubleshoot failed auto-start
Check service logs if a service fails to start:Which Option Should I Use?
Best Practices
Default to unified launch for local development
Default to unified launch for local development
Use
praisonai dashboard as your standard command for local development. It’s designed to feel like launching a single application while giving you access to all PraisonAI interfaces.Use --no-auto-start in containerized environments
Use --no-auto-start in containerized environments
In CI, Docker, or other managed environments where services are started separately, use
--no-auto-start to launch only the dashboard interface.Use --aiui for integrated agent workflows
Use --aiui for integrated agent workflows
The
--aiui flag launches the new Pattern B host integration with unified agent pages (chat, agents, memory, knowledge, skills, sessions, usage, config, logs). This is now the recommended approach for agent-centric workflows.Check logs before assuming port conflicts
Check logs before assuming port conflicts
Before concluding there’s a port conflict, check the per-service logs in
~/.praisonai/unified/logs/ to see the actual error messages from failed services.Related
Claw Dashboard
Full administrative dashboard for managing agents, tools, and channels
Flow Builder
Visual workflow designer with drag-and-drop interface
Chat UI
Clean, distraction-free chat interface
Unified Server
Different feature: HTTP API server (not the desktop launcher)

