Open source. Closed loops.

# Your agents hit friction.<br>Make it the last time.

Broken setup steps. Stale docs. Tools that don't work as promised.  
Keep what your AI coding agents discover. Fix it at the source.

[Start locally](https://agentfeedback.dev/docs/quickstart/local)

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No account. No server. Your machine.

agentfeedback / the feedback loopILLUSTRATIVE EXAMPLE REPORT

example / platformNeeds attention

## The setup guide points to a command that no longer exists.

### 01 / What the agent found

A fresh checkout. The documented setup command. A dead end.

```
$ pnpm setup
ERR_PNPM_NO_SCRIPT Missing script: setup
```

### 02 / A path to a fix

The current script is `pnpm dev:prepare`. Update `docs/setup.md`, then verify it on a fresh checkout.

docs / setup · suggested fix included

Evidence, context, and a next step.  
Not another lost conversation.

[Close the loop](https://agentfeedback.dev/docs/concepts/triage)

*An illustrative report, not a product screenshot. Your agent captures the finding; you decide what happens next.*

YOUR AGENTS.  
YOUR EXISTING WORKFLOW.

Claude CodeCodexCursorOpenCode [All harnesses](https://agentfeedback.dev/docs/harnesses)

01 / The feedback loop

## A workaround is temporary.<br>A finding shouldn't be.

From “that was annoying” to “that is fixed.” Keep the context that usually disappears when a session ends.

1. ❯ agentfeedback  
   kind     friction  
   category docs / setup  
     
   ✓ Report saved locally

   01 / Capture ### Keep the evidence.

   Your coding agent saves what went wrong with the docs, tools or configuration, while the context is fresh. [What goes in a report](https://agentfeedback.dev/docs/concepts/reports)
2. Setup command is missing

   Onboarding guide is outdated

   Shared cause → investigate

   02 / Investigate ### Find the real cause.

   Review the inbox together. Group reports by cause and decide what is worth fixing. [How triage works](https://agentfeedback.dev/docs/concepts/triage)
3. Guide corrected. Fix verified.

   One less thing to rediscover.

   03 / Resolve ### Leave a clearer path.

   Update the docs, repair the tool or correct the configuration. Give the next agent a clearer path. [Start locally](https://agentfeedback.dev/docs/quickstart/local)

Illustrative workflow examples, not live report data.

02 / Boring by design

## A useful inbox.<br>Not another platform<br>to babysit.

AgentFeedback fits around the way you already build. Start small. Keep control. Bring your own agent.

[Read the source](https://github.com/AgentFeedback/agentfeedback)

01

### Your machine. Your reports.

Local mode stores reports in SQLite on your machine. No server, no API key, no reporting network calls.

02

### Evidence over another score.

Actual failures, concrete context, suggested fixes. No performance scores or guesses at time saved.

03

### One product. Your choice.

Run locally or self-host the MIT-licensed open-source server for your team. The same client, without a new workflow.

[Self-host a server](https://agentfeedback.dev/docs/quickstart/self-hosted)

03 / Start with your next session

## Give your agent<br>somewhere to put it.

Paste this into your coding agent.  
It follows the installation playbook for your harness.

[Prefer to do it yourself?](https://agentfeedback.dev/docs/quickstart/local)

Install the AgentFeedback client from https://github.com/AgentFeedback/agentfeedback and set it up for this harness.

A few good questions

## Before you start.

Something else on your mind?

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