1,500 free credits on signup — no card required

Build AI Agents.
Deploy Everywhere.

The full-stack control plane for AI. Create agents with any LLM, add a knowledge base, connect to any channel, and monitor every run in real time.

Start for free Open Console

REST API — run your agent

// Call any agent with a single HTTP request
fetch("https://api.orqagent.com/agents/{id}/run", {
  method: "POST",
  headers: { "X-API-Key": "sk-..." },
  body: JSON.stringify({ message: "Summarize last week's sales data" })
})

// → { "output": "Revenue was $142k, up 18% vs prior week...",
//     "tokens_used": 847, "latency_ms": 312 }
      

Features

Everything you need to ship agents

From prompt engineering to production monitoring — one platform, zero glue code.

Any LLM, One API

Claude, GPT-4, Mistral, Llama, Gemini — switch models with a single field. Powered by LiteLLM under the hood, no SDK juggling.

Knowledge Base

Upload PDFs, docs or plain text. The agent retrieves the most relevant context for every query automatically — no vector DB to manage.

Analytics & Monitoring

P95 latency, token usage per model, daily spend trends, guardrail trigger rates — all tracked automatically without extra config.

Guardrails & Safety

PII masking, content filtering, prompt injection detection. Define rules once in the console — enforced transparently on every run.

Teams & RBAC

Invite collaborators with role-based permissions. Full audit logs for compliance. White-label the entire dashboard under your brand.

Tools & Automation

Equip agents with HTTP tools, A/B experiments on prompts, scheduled runs, and version history. Build complex workflows without code.

API-first

Integrate in minutes, not weeks

Every agent you build gets a dedicated REST endpoint with API key auth. Call it from any language, any framework — no SDK required.

Stateless calls or stateful conversation sessions
Per-agent API keys with usage caps
Webhook callbacks on run completion
Full run history with status filter
Deployed on AWS Lambda — scales to zero

Get started free

Python · conversation session

import requests

# Create a persistent session (keeps memory)
session = requests.post(
    "https://api.orqagent.com/agents/{id}/sessions",
    headers={"X-API-Key": "sk-..."}
).json()

# Send follow-up messages with full context
reply = requests.post(
    f"/sessions/{session['id']}/messages",
    json={"message": "What about Q4 returns?"}
).json()

# → { "output": "Returns in Q4 were 3.2%, down from 4.1%..." }
        

How it works

From zero to production in 3 steps

No infrastructure to manage. No model hosting. Just describe what you want your agent to do.

Create your agent

Write a system prompt, pick a model, configure guardrails and tools — all from the console. Done in under 2 minutes.

Add knowledge & connect

Upload PDFs or docs for RAG context. Connect to Slack, WhatsApp, or Telegram. Your agent becomes context-aware instantly.

Deploy via API

Copy your API key and endpoint. Call it from your app, automate with scheduled runs, and track everything in real-time analytics.

Integrations

Meet your users where they are

Native integrations with the channels and tools your team already uses.

Slack

Email Inbox

REST Webhooks

Scheduled Runs

Custom Tools (HTTP)

Stripe Billing

Pricing

Start free, scale as you grow

Pay only for what you use. No seat fees, no hidden costs.

Starter

^$0

1,500 free credits · no card required

Get started

Up to 3 agents
1 knowledge base per agent
REST API access
7-day run history
Community support

Build AI Agents.Deploy Everywhere.