Build and run AI agents, teams and workflows without code
Lead armies of AI agents sanely
Stage
Not given
Not given
Founded
Not given
Not given
Based in
BE
Not given
Pricing model
Freemium
Freemium
Pricing
Community: free forever on your own server. Personal: €20/month billed yearly (€240/year) or €24/month billed monthly. Pro: €40.83/month billed yearly (€490/year) or €49/month billed monthly. Business: €165.83/month billed yearly (€1,990/year) or €199/month billed monthly. Enterprise: on quote. All
Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
Key features
Create workflows with conditions, loops, and human approvals
AI Assistant builds teams from natural language descriptions
Knowledge bases and data tables for agent memory
Prompt Studio for testing and improving agent instructions
VibeApps for conversational user interfaces
Support for multiple AI providers
Community edition runs on your own server with Docker
Hosted cloud workspaces with no installation required
Hierarchical agent trees with parent-child delegation and coordination
Container-isolated agent environments with Linux shell and persistent filesystem
Persistent agent memory and context between runs
Cron-based scheduled execution with overlap handling
Shared /shared folder for cross-agent file collaboration
Support for 30+ AI models from multiple providers
Web IDE with terminal access and five editor themes
Static site dashboards built and maintained by agents
Voice input and file attachment support
What makes it different
No coding required; build with natural language or visual drag-and-drop
Keeps human judgment in control; work returns to people for decisions
Open source Community edition with no time limit or cost
Choose where your data runs: your own server or hosted cloud
AI Assistant generates teams and workflows from plain English descriptions
Agentic tree structure where agents collaborate and share context unlike stateless tools
Fully isolated Linux containers for each agent with persistent filesystems
Persistent memory and context continuity across scheduled runs
Mix and match 30+ AI models freely within the same team
Pricing per fleet rather than per seat or per token overage