camelai

camelAI is an AI-powered coding agent that builds, deploys, and maintains full-stack web applications from plain-language prompts. It enables anyone to create, iterate, and automate web tools without traditional development workflows.

See it in Action

What it does

camelAI provides a platform where users describe desired full-stack applications in natural language and the AI agent generates, hosts, and maintains them autonomously. The underlying engine leverages LLMs (e.g., OpenAI, Anthropic, OpenRouter, AWS Bedrock) to interpret user prompts into working React, TypeScript, Tailwind UI, backend routes, databases, and deployment pipelines. It solves the business problem of rapid internal tool and agent development by eliminating manual coding, deployment, and infrastructure handling. The agent also supports scheduled autonomous jobs (cron tasks), multi-session memory, and persistent workspace state to enable continuous operation over time.

On the technical side, each project runs on a persistent workspace hosted on Cloudflare Workers, providing zero cold-start, storage (up to 100 GB), and continuous state. Integrations with Postgres, Snowflake, Stripe, Slack, GitHub, Notion, and other services are securely handled via injected credentials. The platform automates DNS, SSL, CDN, and live URL deployment.

Key Features

  • Natural-language app generation and deployment: Enables non-developers to describe applications in plain English and receive live, full-stack web apps deployed instantly—eliminating configuration overhead and manual devops.
  • Persistent workspaces with memory: Agents remember your code, preferences, and context across sessions—allowing iterative refinement and continuity without losing project state.
  • Wide integration ecosystem: Offers built-in connectors to databases (Postgres, MySQL, Snowflake, etc.), SaaS tools (Stripe, Slack, GitHub, Notion), enabling real-time data access and fully functional internal tools.
  • Autonomous scheduling and agents: Supports cron-based tasks (from daily to every 5 minutes) for running reports, syncing data, and alerting—automating workflows without human intervention.
  • One-click full-stack deployment: Every tool includes frontend (React/TypeScript/Tailwind), backend routes, storage, and is instantly hosted with managed SSL, CDN, and custom domains.

Who it is for

Product Managers and Non-Technical Founders: Enables quickly prototyping internal dashboards or tools by simply describing them—no engineering backlog required.

Operations and Data Teams: Automates repetitive tasks like daily revenue email reports or status dashboards by having the agent schedule and run jobs autonomously.

Software Engineers: Offers a powerful assistant that scaffolds front-end and back-end code; usable as a productivity layer for internal tool development with real assets you own.

How it works

Step-by-step:

  • Sign up and select a plan (Free, Starter, Pro, Team, or Enterprise).
  • Describe your desired tool in natural language (e.g., “Build an admin panel connected to Postgres to view and edit customer records”).
  • The agent generates full-stack code (React, API, database schema), deploys it instantly, and provides a live URL with DNS, SSL, CDN configured.
  • Iterate by chatting: request UI changes, new features, integrations, etc., and the agent updates the code accordingly.
  • Connect services (Stripe, Slack, GitHub, Snowflake, etc.) via secure credential injection.
  • Optionally define scheduled tasks via natural language (e.g., “Send revenue report every Monday at 9 am”), which the agent runs autonomously.
  • Manage billing, plan tiers, and model usage (via credits or bring-your-own API key) through Settings → Billing.

Pros

  • Turns plain-language prompts into production-ready web applications with frontend, backend, and deployment handled automatically.
  • Maintains persistent workspace state across sessions and remembered context for iterative refinement.
  • Integrates securely with a broad ecosystem of databases and services out of the box.
  • Automates workflows via scheduled agent tasks without manual scripting or infrastructure.

Cons

  • Requires user to pay for LLM model usage—either via camelAI credits or by providing your own API key, which may complicate cost tracking.
  • Free tier is limited in deployed apps, storage, and scheduling frequency compared to paid tiers.

Pricing Overview

camelAI applies a two-part pricing logic: a recurring platform subscription fee plus model usage costs. Platform fees are tiered by plan (Free, Starter, Pro, Team, Enterprise), with monthly credits included for model usage. Free tier requires you to bring your own API key and includes limited build capacity. Paid tiers (Starter, Pro, Team) include monthly credits and offer upgrades like increased storage, deployments, scheduling, and collaboration. Usage beyond credits is paid per model invocation. Enterprise supports custom agreements, SSO, BYOC, HIPAA/SOC 2, and seat-based pricing.

Frequently Asked Questions

Can I use my own LLM API key with camelAI?

Yes. You can either use prepaid camelAI credits or bring your own API key (from OpenAI, Anthropic, OpenRouter, or AWS Bedrock). The Free plan requires you to bring your own key; paid plans allow either.

How many apps can I deploy on each plan?

Free plan supports up to 3 deployed apps; Starter allows 30; Pro and Team allow unlimited deployments.

Does camelAI support scheduled tasks?

Yes. You can define autonomous cron jobs via natural language, with frequency depending on plan (e.g., daily on Free, hourly on Starter, every 5 min on Pro and above).

How secure are my data and credentials?

Credentials are securely injected; data is encrypted at rest and in transit (AES-256, TLS 1.3). Enterprise plans support SOC 2, HIPAA, BYOC, and self-hosting.

Can I collaborate with my team on projects?

Team plan provides per-workspace access controls, shared workspaces, and seat-based pricing. Agents remember context across users.

Chat for Alternatives