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.