orchestration-ai
Orchestration AI is an orchestration engine for autonomous AI agents that connects any LLM, gives agents tools and triggers, and runs them in production with SDKs, streaming, and real-time monitoring. It targets developers, startups, and businesses seeking to embed and operate intelligent agents.
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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 is an engine for building, connecting, and running autonomous AI agents. It lets developers attach layered context, safety rules, and typed services (tools) to agents, swap LLM providers per layer, and run agents that call real APIs, query databases, send emails, and act autonomously. The platform supports event-driven triggers (webhooks, emails, schedules), multi-agent collaboration, and real-time streaming for responsive UIs and live monitoring. Itβs positioned for indie developers, startups, product teams, and business operations that need production-grade agent orchestration.
Platform to build AI agents for side hustles, running businesses 24/7.
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Claim this listing for $29Key Features
Layered Architecture
Stack context, safety rules, and tools into composable layers within each agent to separate responsibilities and apply different models per layer.
Any LLM Provider / Hot-swap Models
Swap between LLM providers or models per layer without changing logic; hot-swap models in production and bring your own LLM keys.
Tool Use via Services
Expose services with typed tool handlers; the engine discovers service tools at inference time and passes them to the LLM so agents can call real APIs and return structured results.
Event-Driven Triggers
Agents can be activated by webhooks, emails, and schedules so they run in response to external events, not just user prompts.
Multi-Agent Teams
Support for agents delegating tasks to each other, collaborating, and escalating when needed to orchestrate complex workflows.
Real-time Streaming
WebSocket streaming for responsive chat UIs and live agent dashboards; SDK examples show streaming chunks to clients with passkey-based authentication.
Developer SDKs & Engine Client
JavaScript/Node SDK examples for building services, streaming chats, and sending messages between agents (engine client and app-builder SDK shown).
Pricing
3 free passes on sign up
Day Pass
$2/day- Per active day, whole account
- Unlimited agents & orchestrations
- Bring your own LLM API keys
Use Cases
Indie Hackers & Side Projects
Ship AI-powered features quickly (support bots, workflow automation, AI copilots) using the SDK and prebuilt orchestration primitives.
Startups & Product Teams
Embed intelligent agents into products for onboarding, lead qualification, automated ops, and other product features.
Business Operations
Deploy autonomous agent workforces for reception, sales, scheduling, and support running 24/7 to automate operations.
Developer-focused Integrations
Build typed services, delegate work between agents, and create pipelines or routing agents using the SDK and engine client.
Integrations
OpenAI, Anthropic, Google, Groq, Mistral
Supported LLM providers that can be swapped per layer and used with customer-provided API keys.
APIs, Databases, Email
Agents can call real APIs, query databases, and send emails via service tool handlers.
Webhooks & Schedules
Event-driven triggers that activate agents (webhooks, emails, schedules).
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Define your agent β set a model, write context, and attach services (layers).
- 2 Step 2: Connect triggers β wire up emails, webhooks, or schedules that activate your agent.
- 3 Step 3: Let it run β agents reason, call tools, deliver, and can be monitored live; use the SDK and console to deploy and test.
Support
docs
Documentation referenced on the site ("Docs") for SDK and platform usage.
console
Web-based Console accessible via "Open Console" for deploying and managing agents.
developer_sdk
SDK examples and links such as "SDK Documentation β View on npm" for developer integration and examples.
API
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