Build and deploy apps
Build and deploy full applications from conversation, with backend, database, and API routes included from the start.
camelAI
ReclamarcamelAI is an AI software engineer with a persistent workspace that can build, deploy, and keep applications running. It helps builders and teams automate app creation, scheduled tasks, and work across tools like Slack, email, and common data systems.
Overview
camelAI is an AI software engineer that works on its own persistent computer. The product is designed for people who want to describe a task in natural language and have an agent build, deploy, and keep the result running.
The homepage shows it being used to create AI agents, automations, web apps, dashboards, and notebooks. It also emphasizes that files, databases, and project state remain in a persistent workspace, so the agent can continue from prior sessions without losing context.
Features
Persistent workspace
Work continues in a persistent computer and workspace, so project files, databases, and state survive across sessions.
Scheduled automation
Schedule jobs to run on cron-like intervals for reports, monitoring, syncing, and other autonomous tasks.
Email and Slack interfaces
Use the agent through email or Slack, with workspace-specific inboxes and shared team threads.
Integrations with business tools
Connect to common tools and data systems, including Postgres, Snowflake, Stripe, HubSpot, Salesforce, Notion, and GitHub.
Model usage options
Choose between camelAI credits and your own API key, with support for major model providers including GPT, Claude, Gemini, Grok, Kimi, and DeepSeek.
Use cases
Build full-stack apps
Create application prototypes or production-ready web apps from a conversational brief, then let the agent deploy them and keep them running.
Automate recurring work
Set up recurring jobs that fetch data, generate reports, or monitor metrics on a schedule without manual intervention.
Operate through team channels
Use the agent in Slack or email to answer questions, route work, or act on messages in an existing team workflow.
Work across connected systems
Connect the agent to business systems like Stripe, Postgres, Snowflake, HubSpot, Salesforce, Notion, and GitHub to sync or query data across tools.
Continue work across sessions
Keep long-running projects and multi-step work organized in one persistent workspace where the agent can remember prior context.
Pros and Cons
Pros
- Builds and deploys full applications from one conversation.
- Keeps files, databases, and project state in a persistent workspace.
- Supports autonomous, scheduled background work such as reporting, monitoring, and syncing.
- Offers multiple access paths, including email, Slack, and team threads.
- Supports both camelAI credits and bring-your-own-key usage models.
Cons
- The Free plan requires a supported API key before you can chat with the agent.
- Monthly plan credits do not roll over, so usage planning matters on paid plans.
- The source does not document every integration or workflow in detail on the pages provided.
FAQ
How does camelAI work?
camelAI is set up for a persistent computer-based workflow. You describe what you want, and the agent can build and deploy apps, then keep context across sessions.
What is camelAI used for?
The source describes it as an AI software engineer that builds, deploys, and remembers everything, with a persistent workspace, email and Slack access, and support for scheduled background tasks.
Is there a free trial or free plan?
Paid plans include a 7-day free trial. The Free plan does not require a credit card, and you can cancel or change plans from Settings → Billing.
Can I use my own API key?
Yes. The documentation says you can use camelAI credits or bring your own API key, depending on plan. The Free tier requires a key from a supported provider to chat with the agent.
Is camelAI suitable for teams?
The Team plan supports multiple seats and per-workspace access, while the Enterprise plan adds features such as SSO/SAML, multi-workspace, and dedicated support.
Quick Facts
- Category
- AI software engineer
- Platform
- Web app
- Primary users
- Builders, developers, and teams
- Domain
- camelai.com
- Workflow
- Describe tasks, let the agent build and deploy, then keep it running