Cronloop
run Claude Code or Codex on a schedule
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What is Cronloop?
Cronloop is a platform that orchestrates AI agents to run on schedules (from every 5 minutes to once a week) to automate business workflows like prospect outreach, customer support, content updates, and code automation. Users describe jobs in plain Markdown, choose between Codex or Claude Code, and agents maintain persistent memory across runs.
Cronloop pricing
Pricing model: Freemium
Cronloop pros
- Integrates with 50+ popular tools and APIs (Gmail, HubSpot, GitHub, Notion, Linear, Zendesk, WordPress, Stripe, etc.) plus any service with an API, MCP, or CLI
- Agents run in fresh sandboxes and can install dependencies on-the-job; no infrastructure setup required
- Accessible directly from ChatGPT or Claude via MCP connector for natural language agent management
- Live execution monitoring and memory persistence between runs; results show concrete metrics (e.g., '12 demos booked this week')
Cronloop cons
- Pricing is not disclosed on the public page
- No visible information about execution time limits, rate limits, or scalability constraints
- Unclear what 'Codex' is as an agent option (appears as alternative to Claude Code but not explained)
Frequently asked questions about Cronloop
How do I create an agent?
Write a job description in plain Markdown (e.g., 'Book qualified demos every 30 minutes'), select Codex or Claude Code as the engine, and deploy. Cronloop handles the rest.
What tools can my agent use?
Any tool with an API, MCP, or CLI. Built-in integrations include Gmail, HubSpot, Notion, GitHub, Zendesk, and 50+ others. Skills from the catalog can be added too.
Can I control Cronloop from ChatGPT or Claude?
Yes. Add Cronloop as a custom MCP connector in your AI assistant, sign in once, and ask for agents to be created or run entirely in conversation.
How often can agents run?
On any schedule from every 5 minutes to once a week, or on-demand.
Do agents remember previous runs?
Yes, every agent keeps durable memory between runs so it can learn and adapt over time.