Xians.ai

Enterprise-Grade AI Agent Development Kit

Build fault-tolerant AI agent workflows with temporal.io reliability. Platform-agnostic architecture with MCP tool integration and multi-agent coordination.

> dotnet add package XiansAi.Lib

Agent Visualization

Design and monitor complex AI workflows with intuitive visualization tools. Track agent interactions and data flows in real-time for complete operational visibility.

Agents in a Team

Case study – Sales Prospecting Agent Team

Enterprise AI workflows require specialized agents working in coordination. Built on temporal.io for fault-tolerant execution, agents communicate through MCP (Model Context Protocol) for tool integration andAgent-to-Agent interactions for seamless handoffs between different capabilities.

Create Your First Multi-Agent Team

Build enterprise-grade AI workflows with temporal.io reliability. Here's how to create a fault-tolerant sales prospecting agent team:

Define specialized agents with MCP tool integration
Coordinate Agent-to-Agent communication workflows
Execute with temporal.io fault tolerance and durability



      // Create the agent team with temporal.io workflow engine
      var agentTeam = new AgentTeam("SalesProspectingTeam");
      
      // Scheduler agent with fault-tolerant execution
      var schedulerAgent = agentTeam.AddAgent<SchedulerBot>();
      schedulerAgent.SetScheduleProcessor<SchedulerProcessor>(
          processInWorkflow: true, 
          startAutomatically: true, 
          runAtStart: true
      );
      schedulerAgent.AddActivities<ProspectingActivities>();
      
      // Content generation agent
      var contentAgent = agentTeam.AddAgent<ContentFlow>();
      contentAgent.AddActivities<ContentFlowActivities>();
      
      // Interactive assistant with MCP tools
      var assistantAgent = agentTeam.AddAgent<InteractionBot>();
      assistantAgent.AddCapabilities(typeof(SalesCapabilities));
      
      // Web research agent with MCP integration
      var webAgent = agentTeam.AddAgent<WebResearchBot>();
      webAgent.AddKernelModifier(new FirecrawlMCP());
      webAgent.AddKernelModifier(new GoogleSearchMCP());
      webAgent.AddKernelModifier(new PlaywrightMCP());
      
      // Reporting agent with Office 365 integration
      var reporterAgent = agentTeam.AddAgent<ReportingBot>();
      reporterAgent.AddKernelModifier(new MicrosoftO365MCP());
      reporterAgent.AddKernelModifier(new PdfGeneratorMCP());
      
      // Run with enterprise-grade reliability
      await agentTeam.RunAsync();

Read documentation to get started

Learn more about the Xians.ai platform and how to use it's capabilities to build your own AI Agents and Workflows.

Read Documentation

Escape Vendor Lock-In with Open Architecture

Deploy AI agents from any source—whether from Xians.ai, other providers, or your own development team. Any containerized agent integrates seamlessly with our platform.

Temporal.io Workflow Engine

Built on temporal.io for enterprise-grade reliability. Workflows survive restarts, handle failures gracefully, and scale horizontally across your infrastructure.


// Temporal.io powered durability - workflows survive restarts
await Workflow.DelayAsync(TimeSpan.FromDays(365));
// Your workflow continues exactly where it left off after a year

MCP Tool Ecosystem Integration

Leverage the growing MCP (Model Context Protocol) ecosystem with seamless tool integration for enterprise workflows.


// MCP tools integrate seamlessly
webAgent.AddKernelModifier(new FirecrawlMCP());
webAgent.AddKernelModifier(new GoogleSearchMCP());
webAgent.AddKernelModifier(new PlaywrightMCP());

reporterAgent.AddKernelModifier(new MicrosoftO365MCP());
reporterAgent.AddKernelModifier(new PdfGeneratorMCP());
// Extensive MCP ecosystem support...

Balance AI Autonomy with Human Control

Maintain control over critical business processes
Implement AI automation strategically after review
Keep human oversight in workflow design
Blend autonomy and orchestration seamlessly

Sophisticated Agents, Not Just Chatbots

Our platform is designed to host sophisticated agents capable of executing complex tasks and workflows, far beyond simple chat interactions.

A workflow within an agent intelligently orchestrates between multiple tools that are augmented by prompts

Agents can consist of multiple workflows, some for user interaction, others for business process capabilities.

Self-Host in Your Cloud

Agent Platform Deployment

Deploy the Xians.ai platform and agents in your own infrastructure for complete control and compliance.

Keep sensitive data within your environment

Deploy as containers or app services

Seamless integration with your existing cloud resources

Customize networking and security policies

Built for Multi-Tenancy

Scale your AI operations across multiple customers with built-in tenant isolation. Deploy and manage agents per customer while maintaining unified oversight.

Isolate agent execution between tenants
Activate or deactivate agents on a per-tenant
Maintain separate configurations for tenants
Centralized monitoring across tenants

Enterprise Agent Platform Comparison

See how Xians.ai compares to other enterprise AI agent development platforms:

	Xians.ai	Other Agent Kits
Multi-Agent Coordination	✓	✓
Agent-to-Agent Communication	✓	✓
Temporal.io Workflow Engine	✓	?
Durable Workflow Execution	✓	?
Long-running Process Support	✓	?
MCP Tool Integration	✓	✓
Event-driven Architecture	✓	?
Multi-tenancy Support	✓	?
Platform Agnostic	✓	✓
Enterprise Fault Tolerance	✓	?
Workflow Visualization	✓	?
Self-hosted Deployment	✓	✓
Workflow State Persistence	✓	?
Management Portal	✓	?
Prompt Base Management	✓	?
Execution History & Tracing	✓	?
Horizontal Scaling	✓	?