Two Ways to Build AI Agents
xpander.ai supports two distinct approaches depending on your use case complexity and requirements.Autonomous Agents with a Specific Role
Production-ready agents via Visual Workbench - no code requiredBest for: Chatbots, support agents, DevOps assistants, task automation
Complex Multi-Framework Applications
Full agentic product development with custom logicBest for: RAG-powered SaaS, multi-modal pipelines, enterprise platforms
1. Autonomous Agents with a Specific Role (Low Code / No Code)
Production-ready autonomous agents via Visual Workbench - no code required. The platform manages the Agno runtime for you.Key Characteristics
- Clearly defined agent role and goals
- Non-deterministic behavior OK
- Single or multi-agent with tools
- Configuration driven
Example Use Cases
- Website chatbots and support
- DevOps and IT helpdesk assistants
- PR review, log summarization
- Sales qualification bots
2. Complex Multi-Framework Applications (Code + Containers)
Same xpander infrastructure, but you write the code. Use your preferred framework with custom logic.Key Characteristics
- Custom code and logic
- Deterministic behavior when needed
- Any framework (LangChain, Agno, etc.)
- Container-based deployment
Example Use Cases
- RAG-powered SaaS products
- Trading and analytics platforms
- Healthcare and compliance apps
- Document processing systems
What xpander provides (both approaches)
Unified Task API
Reliable scheduling, direct invoke with streams, task results
Tools & Connectors
MCP connectors catalog + custom tools
Memory & State
PostgreSQL-backed persistent storage
System Prompts
Version-controlled prompt management
AI Models
OpenAI, Anthropic, or bring your own
Deployment
K8s cloud or self-hosted