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Agent Studio

Build production AI agents visually — on top of the same open-source runtime that powers the most advanced agents in the world.

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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.

Reasoning trace

Tool calls

Parameters

Response

Latency

Token usage

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.

Agentic RAG

1M+ Records

Token Optimization

Vector Search

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.

Tool Schema Editor

Locked Parameters

PII Stripping

OpenAPI Import

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.

API

SDK

Slack

Chat

AI Gateway

MCP

A2A Protocol

Prompt Caching

Connect

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.

AWS (Athena, Neptune, Redshift), Azure DevOps, GCP BigQuery

GitHub, GitLab, Jira, Confluence, Asana, Figma

Salesforce, HubSpot, Gmail, Google Calendar, Slack

Custom connector builder — import any OpenAPI spec

AI Gateway

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.

OpenAI, Anthropic, Google, Azure, AWS Bedrock, Nvidia, and more

Bring your own key or use xpander built-in access to start immediately

Switch models per agent — use the best model for each task

New models available the day they launch, zero config

Deploy

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.

REST API & Python/JS SDK with managed API keys

Hosted chat UI with conversation starters

Slack integration — one click to connect

MCP and A2A protocol for agent-to-agent communication

Observe

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.

Conversation threads with full message history

Agent metrics and performance tracking

Task execution logs with tool call details

Draft vs. Live version comparison