Ingest
Bring your knowledge—docs, forms, and APIs—into the agent. Index PDFs & docs, register tools, and define policies.
Agents do more than chat. They plan, call tools, and produce audit-ready outcomes—securely and autonomously.
Bring your knowledge—docs, forms, and APIs—into the agent. Index PDFs & docs, register tools, and define policies.
VidyutAI runtime + AnuvaX memory provide context, planning, and routing. Short/long/decay memory keeps agents on-task.
OrchestrateX runs the plan. TantuAPI calls external systems with auth, rate limits, and approvals; ExecuteX handles retries.
InsightX summarizes results, formats responses, updates memory, and hands off to the next step or channel (Slack, email, API).
Design multi-agent workflows by connecting blocks—Agent, API, Function, Condition, Loop, Router, Response. Versioned deploys, approvals, and rollback are built-in.
Perfect for ops & support teams: ship in hours, not weeks.
Everything in the editor is available in code. Use our TypeScript or Python SDKs to define tools, memory, and policies—then deploy.
import { MandalaStudioClient } from 'mandalastudio-ts-sdk';
// Initialize the client
const client = new MandalaStudioClient({
apiKey: 'your-api-key-here',
baseUrl: 'https://app.ayantram.com' // optional, defaults to https://app.ayantram.com
});
// Execute a workflow
try {
const result = await client.executeWorkflow('workflow-id');
console.log('Workflow executed successfully:', result);
} catch (error) {
console.error('Workflow execution failed:', error);
}from mandalastudio import MandalaStudioClient
# Initialize the client
client = MandalaStudioClient(
api_key="your-api-key-here",
base_url="https://app.ayantram.com" # optional, defaults to https://app.ayantram.com
)
# Execute a workflow
try:
result = client.execute_workflow("workflow-id")
print("Workflow executed successfully:", result)
except Exception as error:
print("Workflow execution failed:", error)Drag-and-drop editor for speed. TypeScript/Python SDKs for full control.