AgentClick

AgentClick

  🧠 Human-in-the-loop review UI for autonomous AI agents

  AgentClick is a skill-based plugin that adds a browser review layer to terminal agents.
  Agents propose actions, users inspect and edit in a browser UI, then the agent continues.

  Website

⚙️ How It Works

Most agents still interact like this:

AgentClick adds a review step:

This keeps the speed of autonomous agents while adding a human-in-the-loop safeguard before irreversible work.

🤖 Supported Agents

AgentClick works as a skill / plugin for modern AI agents. Any agent that can run local tools, send HTTP requests, and follow skill instructions can integrate with it.

- Claude Code
- Codex
- OpenClaw
- Custom tool-calling agents

🧩 What It's For

AgentClick extends the agent interaction into a browser UI for tasks like:

- 📧 Email Review — browse inbox, edit drafts paragraph-by-paragraph, preference learning
- 📋 Plan Review — inspect multi-step plans, inject constraints before execution
- 🖥️ Code Review — GitHub-style diff viewer before any script runs
- ✅ Action Approval — approve or reject external actions with reasons
- 🔍 Trajectory Inspection — replay every decision, tool call, and error in a DAG
- 🗳️ Selection Review — agent presents options, you choose
- 🧠 Memory Management — control what the agent remembers across sessions

The goal: keep the speed of terminal agents, but add a real review layer before the agent commits to irreversible work.

✨ Why It Helps

- Edit before execution — change the draft, command, or payload instead of only approve/reject.
- Shared visual context — move from raw terminal text to a purpose-built UI.
- Preference learning — feedback from review is persisted so the agent improves over time.
- Framework-agnostic — anything that can POST JSON and poll…