Agent Studio
Build production AI agents visually — on top of the same open-source runtime that powers the most advanced agents in the world.
The open-source AI stack, ready to use
Other builders make you choose: power or ease-of-use. The Agno runtime underneath means you get both — every cutting-edge capability, zero setup.
Build and debug in the same window
See the full reasoning trace as your agent runs — not after the fact, in real time. Every decision step, tool call, parameter selection, and response generation is visible alongside the chat. No log hunting, no separate debug mode. The reasoning is the interface.
Persistent memory
Built-in PostgreSQL — no external memory service, no third-party vector database to manage. Agents remember past conversations, preferences, and context across sessions, all stored in the same infrastructure you already run.
RAG & knowledge bases
Built-in vector storage — no external service required. Upload documents, auto-embed, and agents search relevant context at runtime.
2,000+ tools
Every connector is enriched for agent use — not raw API wrappers. Tools expose the right level of abstraction, include context hints, and are optimized to minimize token waste when agents select and call them.
Guardrails & safety
PII detection, prompt injection blocking, and content moderation — all toggle-on per agent. No code to write, no external moderation service to integrate. One switch turns enterprise-grade safety on.
Multi-agent orchestration
Compose agents that delegate to other agents. Build hierarchies where each handles its domain.
Deploy anywhere with one click
REST API, Python/JS SDK, Slack, embeddable chat widget, webhooks, MCP protocol for tool-calling integrations, A2A agent-to-agent for multi-agent networks. Same agent, every channel.
2,000+ agentic tools, ready to go
Pre-built connectors for AWS, Azure, Google Cloud, Salesforce, GitHub, Jira, Slack, and dozens more. Each connector exposes fine-grained actions — not just raw API access. Or create a custom connector from any OpenAPI spec in minutes.
Any model, any provider. Always the latest.
Build and test agents with any AI model from any provider — and switch to the latest one the day it launches. No infrastructure changes, no vendor lock-in. Bring your own API key or get started instantly with xpander's built-in access.
One agent, every channel
Deploy the same agent across API, SDK, Slack, webhooks, an embeddable chat widget, scheduled tasks, MCP protocol, or A2A agent-to-agent protocol. Prompt caching reduces costs automatically.
Full observability, no extra tools
Monitor every conversation thread, track agent metrics, and inspect task execution in real time. See exactly what your agent did, what tools it called, and why — directly in the Workbench.
How we compare
See how xpander Agent Studio stacks up across the capabilities that matter for building production AI agents.
| Feature | xpander | Dify | Flowise |
|---|---|---|---|
| Runtime | ✓Agno (production OSS) | ◐Custom runtime | ◐LangChain-based |
| Pre-built tools | ✓2,000+ enriched | ◐~300 | ◐~200 |
| Live debug | ✓Full reasoning trace | ◐Basic logs | ✗Separate debug |
| Built-in guardrails | ✓Toggle-on | ◐Basic filter | ✗Manual |
| Deploy channels | ✓API, SDK, Slack, MCP, A2A | ◐API, Chat | ◐API, Chat |
| Multi-agent | ✓Built-in routing | ◐Basic workflow | ✗Single agent |
| Self-hosted | ✓K8s, VPC, air-gapped | ✓Docker | ✓Docker |
| Memory & RAG | ✓Built-in PostgreSQL | ◐Basic KB | ◐Via LangChain |
Based on publicly available information. ✓ available ◐ partial ✗ not available