How to see what is left on every AI plan in one command with Magpie

Related use cases from other repos

• Hand off a half-finished task from Claude Code to Codex

  Quit one coding agent mid-task and resume in another in the same directory with the open questions intact.

  • AI Memory
  • Claude Code
  • Codex
  • Software and DevOps
  • Intermediate
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  Using the ai-memory repo (github.com/akitaonrails/ai-memory), set up the tool, then start <target-agent> in the project at <project-path> through `ai-memory run`. Expected output: the new agent begins with a brief that lists the last session's status, failed approaches, and open questions. Verify the brief mentions the open questions from the previous session before continuing.

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• Map an unfamiliar codebase in one run

  Build a browsable graph and a highlights report for a project you have not worked in before.

  • Graphify
  • Claude Code
  • Cursor
  • Codex
  • Gemini CLI
  • Software and DevOps
  • Intermediate
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  In the Graphify-Labs/graphify repo setup, run `/graphify <repo-path>` on the target repository at <repo-path>. Confirm that graphify-out/ contains graph.html, GRAPH_REPORT.md, and graph.json, then summarize the top concepts listed in GRAPH_REPORT.md.

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• Start the official DSH web runtime in one command

  Launch the official DeepSeek Harness web runtime with npx and manage plugins from Settings.

  • Awesome DeepSeek Harness
  • Software and DevOps
  • Intermediate
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  In the repo 0xsline/awesome-deepseek-harness, run `npx @deepseek-ai/dsh web` from <project folder>. Report the local address the runtime prints and whether Settings → Plugins is reachable. Verify the command completed without an install error.

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Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page