The Orchestration Stack for Autonomous Business Workflows
Build agents that connect to anything, know what's relevant, remember every interaction, follow rules you define, and prove they're working in business outcomes.
Powering 4,000+ autonomous workflows · 15+ countries
Businesses run on disconnected software
Most businesses want to deploy AI agents, but fail because existing solutions force a choice between developer frameworks and workflow tools. Neither works alone.
From Intent to Execution
Three steps from business intent to deployed autonomous agent.
Define
Describe your business workflows, set goals, and configure guardrails — in natural language or code.
Connect
Wire up your existing tools — CRMs, messaging, databases, APIs — with pre-built connectors or MCP.
Execute
Deploy autonomous agents that run 24/7 with full observability, human gates, and outcome tracking.
The OrchStack Platform
The operating system for AI agents — from visual builder to production runtime to business outcome tracking. Any AI model, any provider. Not a framework. Not a tool. Infrastructure.
workflow.define('task')
.connect(crm)
.run(agent)Three Surfaces. One Platform.
OrchStack covers the complete agent lifecycle — from design to execution to governance — so you ship agents, not infrastructure.
Design agents visually with a drag-and-drop canvas. Write prompts, manage knowledge, run evaluations — all without writing infrastructure code.
- Visual Agent Canvas
- Prompt Studio
- Knowledge Manager
- Evaluation Suite
Every agent execution runs through a battle-tested engine with full tracing, memory management, and human-in-the-loop gates.
- Orchestration Patterns
- 5-Tier Memory
- Tool Executor
- Human Gates
Manage tenants, roles, guardrails, costs, and prove ROI with business outcome dashboards. Enterprise-grade from day one.
- RBAC & Audit Trail
- Cost Controls
- Outcome Dashboards
- Deployment Manager
Everything Agents Need to Work
Not a framework you assemble. A complete stack where every component is built to work together.
5-Tier Memory System
Session, long-term, entity, shared, and collective memory. Agents that actually remember across interactions.
Knowledge Engine
RAG with hybrid search, knowledge graphs, re-ranking, and source attribution. Not just Q&A — real knowledge retrieval.
100+ Integrations
WhatsApp, Slack, CRMs, databases, APIs, Google ecosystem, and MCP-first for infinite extensibility.
Guardrails & Governance
PII detection, content filters, prompt injection defense, cost limits, and immutable audit trails.
Human-in-the-Loop
Approval, edit, and review gates with timeout handling. Your agents pause for humans when it matters.
Outcome Tracking
Business metric attribution — prove agents are generating revenue, not just tokens. CFO-ready dashboards.
Build agents in code or canvas
Define agents in TypeScript with the SDK, or drag-and-drop in Studio. Deploy with orchstack deploy. Version-control everything in Git.
import { OrchStack } from '@orchstack/sdk'
const agent = orchstack.agent({
name: 'Cora — Booking',
model: 'claude-sonnet-4',
tools: ['whatsapp', 'calendar', 'payments'],
memory: { session: true, longTerm: true },
knowledge: ['service-menu', 'faq'],
guardrails: { pii: true }
});
await agent.deploy('whatsapp');
// → Agent live on WhatsApp in secondsTrusted by Leading Companies
DINGG AI runs 4 autonomous agents on OrchStack, serving 4,000+ salons across 15 countries. From discovery to conversion to retention to intelligence — every agent orchestrated, governed, and measured.
Read the Case StudyEvery other platform tells you your agents ran. OrchStack tells you they worked.
Start building agents that prove their value in business outcomes.
Free tier available · No credit card required