Agented
A stateful text editor designed specifically for LLMs
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agented. It is used for: A stateful text editor designed specifically for LLMs Full Skill content: https://321skill.com/skills/agented-x-9/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the lack of reliable history and concurrency control for AI agents during multiple editing sessions. In real-world development, AI agents need to repeatedly modify code files, but standard editors cannot record the context of each change, leading to conflicts, lost progress, or duplicate work. Agented solves this by persisting state and an undo tree in SQLite, making every edit traceable and supporting branch navigation.
Usage is straightforward: install the ae command-line tool, then initialize a file with ae open <path>. After that, you can use short commands like ae s (replace), ae i (insert), and ae w (write) to perform operations. Each read returns a state_token; when writing next time, include the --expect parameter. If the file has been modified by another agent, the operation will be rejected and the latest content returned, ensuring no overwriting of others' changes.
It is ideal for teams or individuals who need multiple AI agents to collaboratively edit the same repository. Especially for developers already using AI coding assistants (like Claude or Cursor) for code generation and refactoring, Agented can help record the reason for each change and allow rollback to any historical version at any time.
It is recommended to use this tool uniformly when AI agents need to edit files across multiple steps. Note that it primarily handles text files and does not support binary files (such as images or PDFs). Additionally, installation depends on macOS (Homebrew) or Linux; Windows users may need to use WSL or compile it themselves.
Key Features
Unlike human-oriented editors such as vim/emacs, Agented is designed specifically for LLMs. It implements atomic concurrency control via `state_token`, validating the expected state on every write to avoid conflicts. Standard editors lack built-in collaboration mechanisms for AI agents, requiring additional manual coordination.
Limitations
Only supports text files, not binary files; depends on SQLite (created automatically); requires macOS (Homebrew) or Linux environment; Windows requires WSL or manual compilation.
FAQ
Does Agented have a graphical interface?
No, it operates entirely via the command line, making it suitable for AI agent invocation. Human users can also use it with scripts.
How do I install ae?
On macOS, run: `brew tap frane/tap && brew install agented`. For other systems, download the binary from GitHub releases.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agented-x-9/raw/index.md to read the original Skill definition (Markdown format) for Agented, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agented-x-9/raw/index.md