Build, Deploy, and Orchestrate AI Agents for Your Infrastructure
Run local LLMs, create custom agents with no code, orchestrate multi-agent teams, and automate complex workflows — all self-hosted on your own servers.
Create Custom AI Agents — No Code Required
Design agents that understand your infrastructure. Attach tools like log readers, container inspectors, and metric queries. Test in a sandbox before deploying to production.
- Drag-and-drop tool attachment
- 8+ built-in tools (logs, containers, metrics, alerts)
- Sandbox testing environment
- One-click deployment (draft → production)
- Custom system prompts and personas
Collaborative AI That Works Together
Create teams of specialized agents that delegate tasks, share context, and solve complex problems collaboratively. A leader agent coordinates the workflow while team members execute in parallel.
- Leader-mediated task delegation
- Parallel execution across members
- Role-based specialization
- Bounded iterations prevent runaway loops
AI Hub
Your Models, Your Servers, Your Data
Run Ollama or LocalAI on your own hardware. Pull models from the library, allocate GPU resources, and fall back to cloud providers when needed — all with per-provider budget tracking.
Ollama
OpenAI
Anthropic
LocalAI
Google Gemini
Custom
Automate Complex Tasks with AI-Powered Pipelines
Build DAG-based workflows that chain agents, conditions, HTTP calls, and transforms. Schedule them on cron or trigger manually. Monitor execution in real-time.
- 6 step types: agent, team, condition, transform, HTTP, delay
- DAG execution with conditional branching
- Cron scheduling for automated runs
- Real-time WebSocket monitoring
- Remote cluster node targeting
More capabilities
Built-in intelligence at every layer
Retrieval-Augmented Generation
RAG System
Vector embeddings, document chunking, and similarity search give your agents context-aware responses grounded in your actual infrastructure data.
Model Context Protocol
MCP Protocol
Connect external tools and services to your agents via the open MCP standard. Expose and consume tools across your infrastructure.
Custom Model Training
Fine-Tuning
Train and evaluate models on your own data. Built-in evaluation pipeline measures quality so you ship with confidence.
Budget-Aware AI
Cost Tracking
Per-provider spending limits, token analytics, and automatic fallback to local models when budget thresholds are exceeded.
Ready to Build Your AI-Powered Infrastructure?
Start with built-in agents for free, or unlock the full platform with custom agents, teams, and workflows.