orchestration-ai

orchestration-ai

Orchestration AI is an orchestration engine for AI agents that connects any LLM, gives agents access to tools and services, and lets them run autonomously—from simple chatbots to enterprise-scale agent teams.

orchestration-ai is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#393 in AI Agents (393 tools)
Just launched
29903 directory views this week

Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from $2/day

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orchestration-ai

Orchestration AI provides an orchestration engine for building and running intelligent agents that perform real work. The platform lets developers connect any LLM provider, layer context/safety/rules and tools into composable agent layers, and run agents that call real APIs, query databases, send emails, and act autonomously. It targets a broad audience—from indie hackers and startups to business operations teams and developers—enabling rapid shipping of AI-powered features, embedding agents in products, and deploying continuous autonomous workflows.

Platform to build AI agents for side hustles, running businesses 24/7.

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Key Features

Layered Architecture

Stack context, safety rules, and tools into composable layers within each agent so behavior and capabilities are organized per layer.

Any LLM Provider

Swap between models per layer and hot-swap in production without changing agent logic; supports multiple LLM providers.

Tool Use via Services

Agents call real APIs, query databases, send emails, and use exposed services as typed tool handlers discovered at inference time.

Event-Driven Triggers

Agents can be activated by webhooks, emails, and schedules in addition to user prompts.

Multi-Agent Teams

Agents can delegate, collaborate, and escalate tasks among each other to form multi-agent workflows.

Real-time Streaming

WebSocket streaming support for responsive chat UIs and live agent dashboards, including client-side streaming examples.

Developer SDKs & Tools

SDK examples and app-builder primitives to define services, expose tool handlers, stream chats, and send messages between agents.

Pricing

Free Tier Available

3 free passes on sign up

Day Pass

$2/day
  • Per active day, whole account
  • Unlimited agents & orchestrations
  • Bring your own LLM keys
  • All LLM providers supported

Use Cases

Indie Hackers & Side Projects

Ship AI-powered features quickly—add a support bot, automate workflows, or build an AI co-pilot for a SaaS product.

Startups & Product Teams

Embed intelligent agents into products for customer onboarding, lead qualification, and automated operations.

Business Operations

Deploy an AI workforce for receptionists, sales teams, schedulers, and support agents running 24/7.

Developer Automation & Integration

Build applications that give agents tools, expose services with typed handlers, and compose multi-agent pipelines and delegations.

Integrations

OpenAI

Supported LLM provider that can be used with agents (site lists OpenAI among supported providers).

Anthropic

Supported LLM provider listed on the site.

Google

Supported LLM provider listed on the site.

Groq

Supported LLM provider listed on the site.

Mistral

Supported LLM provider listed on the site.

Custom Services / SDK

Expose typed tool handlers and services via the SDK that agents discover and call at inference time.

Benefits

Pay only when agents are active (usage-based day pass billing).
No subscriptions or per-seat pricing—one day pass consumed per active day for the entire account.
Bring your own LLM keys and support for multiple LLM providers.
Ability to hot-swap models per layer without code changes.
Real-time streaming for responsive UIs and live monitoring.
Unlimited agents and orchestrations within the account model.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Define your agent — set a model, write context, and attach services (compose layers).
  2. 2 Step 2: Connect triggers — wire up emails, webhooks, or schedules that activate your agent.
  3. 3 Step 3: Let it run — allow the agent to reason, call tools, and deliver while monitoring live; use the SDK to build and expose services.

Support

docs

Documentation available via the site (referenced as 'Read the docs' and 'OrchestrationAI Docs').

console

Web console accessible from the site ('Open Console').

sdk

SDK examples and SDK documentation links (examples and 'SDK Documentation → View on npm' referenced on the site).

API

Available: Yes

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