OpenAI

Build with OpenAI API. Your AI app builder.

Connect your OpenAI API key. Build multi-step AI agents with tool use, persistent memory, and scheduled execution. camelAI handles the infrastructure — you build the logic.

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agent-execution.log
TASK RECEIVED

"Analyze Q4 sales data and generate executive summary"

REASONING

Planning: 1) Query sales DB 2) Aggregate metrics 3) Generate charts 4) Draft summary

TOOL CALLS
query_database(sales_q4)
generate_chart(revenue_by_month)
send_slack(#executive-team)
DEPLOYED

Published to q4-report--acme.camelai.app

Everything your agent needs. Nothing it doesn’t.

camelAI gives your OpenAI agents a full runtime environment — persistent storage, scheduling, integrations, and deployment — so you focus on the logic, not the plumbing.

Multi-step reasoning

Chain complex tasks across multiple turns. GPT-4o reasons through multi-step workflows while camelAI manages state between each step.

Tool use & function calling

Define tools with schemas. Your agent calls APIs, queries databases, sends messages, and takes real-world actions autonomously.

Persistent memory

Your workspace survives across sessions. Files, databases, conversation history — your agent picks up exactly where it left off.

Scheduled execution

Cron jobs run your agent on any schedule. Daily reports, hourly monitoring, weekly digests — no infrastructure to manage.

50+ integrations

Connect to Slack, Stripe, Postgres, GitHub, and 46 more. Your agent acts on real data from the tools your team already uses.

One-click deploy

Publish to a live URL at *.camelai.app. Your agent is accessible to anyone, anywhere — no deploy pipeline to configure.

From prompt to production in one conversation.

Describe your agent. camelAI builds, tests, and deploys it.

01

You describe the agent

"Build a research agent that finds competitor pricing, compares features, and generates a report every Monday."

02

camelAI writes the code

The agent scaffolds your project with OpenAI SDK, defines tools, wires up integrations, and builds the UI.

03

Your agent calls tools

Function calling in action — your agent queries APIs, processes data, makes decisions, and chains results.

04

Results are processed

Multi-step reasoning produces structured output. Data is stored, reports are generated, actions are taken.

05

Published to a live URL

One click to deploy. Your agent is live at a *.camelai.app URL, accessible to your team or the world.

Real code. Real agents. Zero boilerplate.

camelAI scaffolds production-ready agent code with OpenAI SDK, tool definitions, and deployment config — already wired up.

agent.tstools.tscron.ts
import OpenAI from "openai";
import { tools } from "./tools";
// Initialize OpenAI with your API key (injected by camelAI)
const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});
// Define your agent's tools
const agentTools = [
  {
    type: "function",
    function: {
      name: "query_database",
      description: "Query the sales database",
      parameters: { /* Zod schema */ },
    },
  },
  // ... more tools
];
// Run the agent with multi-step execution
const response = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: conversationHistory,
  tools: agentTools,
});
OpenAI SDKFunction callingPersistent stateAuto-deployed

What you can build this weekend.

Gathering sources
Analyzing data
Cross-referencing
Generating report
Multi-step research agent

Gathers data from multiple sources, cross-references findings, synthesizes analysis, and produces a formatted report — all autonomously.

GPT-4oTool useCron
Customer
Where is my order #4829?
Agent
Checking order status...
lookup_order(4829)
Customer support agent

Answers questions using function calling, looks up order data, checks shipping status, and escalates complex issues to your team on Slack.

Function callingPostgresSlack
Research
Draft
Edit
Publish
Automated content pipeline

Researches topics, drafts articles, generates images with DALL-E, and publishes to a live URL — on a weekly schedule.

DALL-ECronPublishing
Query
"Show revenue by region for Q4"
Result
NA
EU
APAC
LATAM
AI-powered data analyst

Connects to your warehouse, translates plain English to SQL, runs queries, and returns interactive charts and insights.

EmbeddingsSQLCharts

What changes when you add camelAI.

Capability
OpenAI API alone
OpenAI + camelAI
Infrastructure
You manage servers, databases, deployment
Handled automatically by camelAI
Persistence
Build your own state management
Built-in persistent workspace
Scheduling
Set up cron infrastructure yourself
One-line cron scheduling
Deployment
Configure CI/CD pipeline
One-click publish to live URL
Integrations
Build each connector from scratch
50+ pre-built integrations
Secrets
Manage .env files and key rotation
Secure injection, auto-synced to deploys

Prompts to get you started.

“Build a research agent that takes a company name, scrapes their website, pulls their latest news, analyzes sentiment, and generates a competitive intelligence report. Schedule it to run every Monday morning.”

Try this prompt

“Create a customer support agent with OpenAI function calling. It should look up order status in our Postgres database, check shipping via API, and escalate to Slack if the issue is unresolved after 2 turns.”

Try this prompt

“I need an automated content pipeline. The agent should research a topic using web search, draft a blog post with GPT-4o, generate a hero image with DALL-E, and publish everything to a live URL.”

Try this prompt

“Build an AI data analyst. Connect to our Snowflake warehouse, let users ask questions in plain English, generate SQL, run the query, and return charts and insights. Deploy it as an internal tool.”

Try this prompt

You chose the model.

We'll handle the rest.

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