Build AI agents. Deploy instantly.

Describe the agent you want. camelAI builds a working AI app, deploys it to a live URL, and handles everything.

No API keys. No provider config. Just describe what you want.

camelAI Chat

Build me a support chatbot that answers questions about our docs and cites the relevant page

camelAI is building...

Building

├─Scaffolded chat UI with streaming
├─Built RAG pipeline for doc indexing
├─Added source citations to responses
├─Wired up Workers AI binding
└─Published to support-bot--acme.camelai.app

Every app gets AI built in.

The platform handles models, authentication, and infrastructure. You just describe what your AI should do.

AI Models

Workers AI powers every deployed app natively. Your AI agent gets access to language models without any setup.

No API Keys

Zero configuration. The platform virtualizes AI bindings at deploy time — your code never touches credentials or provider config.

Streaming Responses

Real-time streaming out of the box. Your users see AI responses as they generate, just like ChatGPT.

Persistent Conversations

Conversation history is stored automatically using Durable Objects. Your agent remembers every interaction.

Custom Tools

Define tools your AI agent can call using Zod schemas. Weather lookups, database queries, API calls — anything.

One-Click Deploy

One command to a live URL. Your AI app goes from code to *.camelai.app instantly. Share it with anyone.

This is what camelAI builds for you.

Real production code. Cloudflare's AI chat framework, the Vercel AI SDK, streaming responses, persistent conversations. Not a prototype.

workers/chat.ts

import { AIChatAgent } from "@cloudflare/ai-chat";
import { createWorkersAI } from "workers-ai-provider";
import { streamText, createUIMessageStream,
  createUIMessageStreamResponse, convertToModelMessages
} from "ai";

export class Chat extends AIChatAgent<Env> {
  async onChatMessage(onFinish, options) {
    const workersai = createWorkersAI({
      binding: this.env.AI
    });

const stream = createUIMessageStream({
      execute: async ({ writer }) => {
        const result = streamText({
          model: workersai("auto", {}),
          messages: await convertToModelMessages(
            this.messages
          ),
          system: "You are a helpful assistant.",
        });
        writer.merge(result.toUIMessageStream());
      },
    });

return createUIMessageStreamResponse({ stream });
  }
}

This is the entire chat agent. The platform handles AI model routing, authentication, and message persistence. Your code stays clean.

Your agent is more than a chatbot.

AI apps built on camelAI receive inputs, reason about them, use tools, and take action — all autonomously.

Input

Trigger

A user asks a question. A webhook fires. A cron job runs. An email arrives.

Receive

Your AI App

Your deployed app receives the request at its live URL. The full conversation context is already loaded.

Process

Reason with AI

The agent thinks, calls tools, queries databases, fetches external data. All powered by Workers AI.

Act

Take Action

Respond to the user. Update a database. Send a Slack message. Generate a report. Trigger the next step.

Persistent context — your agent remembers everything across every interaction

What will you build first?

Start with a sentence, not a product brief. camelAI turns the idea into a live AI app with models, storage, and deployment already wired in.

Build from intent, not a spec

Customer support chatbot
A chatbot trained on your docs that lives at a public URL. Answers questions, cites sources, handles follow-ups.

Prompt
Public doc agent
"Build a support chatbot that answers questions about our docs and cites the relevant page in every response"

RAG over your docs
Source citations
URL summarizer
Live at support-bot--acme.camelai.app

Document summarizer
Upload a PDF or paste text and get structured summaries. Extracts key points, action items, and decisions.

AI writing assistant
Custom system prompts tuned to your brand voice. Write blog posts, emails, product copy — all on-brand.

Lead qualification agent
Score inbound form submissions with AI. Route hot leads to sales, send nurture sequences to the rest.

AI agents that do real work.

Give the agent a schedule, an inbox, memory, and live systems to work with. This is where camelAI stops being a prompt box and starts behaving like a persistent operator.

Core loop

Persistent computer + deployed app

The agent keeps context across threads, uses real tools, and can act through the channels your team already works in. Not another static chatbot shell.

Scheduled runtime

AI + Cron

+Runs without you
An agent that wakes up on a schedule, analyzes fresh data, and acts on the results. Combine AI reasoning with automated triggers.

Connected systems

AI + Integrations

+50+ integrations
Pull data from Notion, Salesforce, or HubSpot. Analyze it with AI. Push results to Slack, email, or a dashboard.

Persistent memory

AI + Database

+Stateful by default
Store conversation history, build knowledge bases, track user interactions over time. Your agent gets smarter with every conversation.

Native inbox

AI + Email

+Reply in thread
Your agent has its own inbox. Email it tasks, questions, or data — it processes everything with AI and replies right to your thread.