What do you want to do?
4 use cases
-
Check what an agent read before it edited a file
Replay a session to see which files the agent opened before changing code, and which it never opened.
- Agentplay
- Claude Code
- Codex
- Cursor
- Software and DevOps
- Intermediate
View prompt
In the agentplay repo at https://github.com/Entelligence-AI/agentplay, run `uvx agentplay` and open the session that edited <target file path>. Report which files the agent read before the first edit to that file and which related files it never opened. Verify by confirming each listed read appears earlier than the first edit on the timeline.
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Find the commands an agent kept retrying and failing
Use the Errors tab to see which failing command ran most often in a row and jump to it in the replay.
- Agentplay
- Claude Code
- Codex
- Cursor
- Software and DevOps
- Intermediate
View prompt
Using the agentplay repo at https://github.com/Entelligence-AI/agentplay, run `uvx agentplay` and open the session <session name or id>. Open the Errors tab, list the top three error classes with their longest repeated failing command, and state the step where each run began. Verify that each count matches the error rows shown in the Errors tab.
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Review what each Claude Code subagent brought back
Use subagent lanes and the agent lens to see how each subagent in a Claude Code session contributed.
- Agentplay
- Claude Code
- Software and DevOps
- Intermediate
View prompt
Using the agentplay repo at https://github.com/Entelligence-AI/agentplay, run `uvx agentplay`, open the Claude Code session <session name or id>, and use the agent lens to scope to each subagent. Report which subagents produced edits or outputs and which came back with nothing. Verify by checking each subagent lane against its entries on the timeline.
How to use Agentplay
- Check you have what it needs: Python 3.11 or newer; uv, pipx, or pip to run agentplay; Existing session transcripts from a supported agent such as Claude Code, Codex, or Cursor on the same machine.
- Open Entelligence-AI/agentplay on GitHub and read the README and license.
- Run
uvx agentplayin a terminal to build maps and open the local viewer. - Open the session you want to review from the session list in the viewer.
- Use the map to find the edited file and check which files were seen or read before it.
- Press Space to play the timeline and watch the order of reads and edits.
These steps come from our top use case, Check what an agent read before it edited a file, which also has a copy-paste agent prompt.
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About this repo
- Who it is forDevelopers and engineering leads who use coding agents and want to check what those agents actually did in a session.
- Why it is hot
- LanguagePython
- Sourcegithub.com/Entelligence-AI/agentplay · Back to Hot repos
Requirements
- Python 3.11 or newer
- uv, pipx, or pip to run agentplay
- Existing session transcripts from a supported agent such as Claude Code, Codex, or Cursor on the same machine
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Questions about Agentplay
What is Agentplay?
A local, open source tool that replays coding agent sessions as a map and a timeline, showing what the agent read, edited, and retried. It is an open-source project on GitHub: https://github.com/Entelligence-AI/agentplay.
Who is Agentplay for?
Developers and engineering leads who use coding agents and want to check what those agents actually did in a session.
What can I do with Agentplay?
4 use cases so far, for example: Check what an agent read before it edited a file; Find the commands an agent kept retrying and failing; Share a session map without prompt text or file contents. Each has steps and a copy-paste agent prompt.
What do I need to run Agentplay?
Python 3.11 or newer; uv, pipx, or pip to run agentplay; Existing session transcripts from a supported agent such as Claude Code, Codex, or Cursor on the same machine.
What are alternatives to Agentplay?
Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.
Is Agentplay safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.