Your coding agent uses Recurse to define Python tools and checks around a task. An LLM calls those tools to explore alternatives and refine results. Execution is serverless: expose the workload as an MCP server for use in agentic workflows, or run it to completion. Requires the Recurse SDK and a Recurse account.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “Recurse” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 1
- recurse
Build and run custom agents with Recurse for tasks that benefit from test-time compute and iterative refinement. Examples include design exploration, performance optimization, and generating artifacts that improve through verification and revision. Use this skill when designing an adaptive component that solves a specific problem. When necessary, clarify uncertain requirements on the goal and constraints.
Things to ask
- “Design a Python tool that tests code changes against a benchmark.”
- “Plan a Recurse agent that generates puzzle levels and checks solvability.”
- “Help me expose a tested Recurse agent through MCP.”
Disconnect or uninstall
- 1In ChatGPT
Disconnect an account in Settings → Apps or Plugins. To remove the plugin itself, open Recurse in the Plugin Directory and select Uninstall plugin. Uninstalling can disconnect every account connected through it, and plugins your workspace installs may not offer the option.
- 2In Codex
Run /plugins in the Codex CLI, select the plugin and uninstall it, or press Space to turn it off.
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