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Autohand ACP

Autohand AI · Terminal & CLI Agents · Updated
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Autohand ACP is a specialized adapter that allows the Autohand Code CLI to function as an Agent Communication Protocol (ACP) agent within compatible editors like Zed. It bridges the CLI's terminal-based capabilities with modern IDE interfaces to provide persistent, context-aware AI coding assistance.

Recent updates added a feedback system, session interaction tracking, and an auto-prompt mechanism for feedback collection after a series of interactions.

As of

  • Native ACP integration for IDEs like Zed
  • Streamed agent reasoning and tool execution
  • Configurable session and permission modes
  • Cross-platform support for macOS, Linux, and Windows
  • Multi-model provider support including OpenRouter, OpenAI, and local options
✓ Best For

Developers who want to use the terminal-native Autohand Code CLI directly inside IDEs like Zed with IDE-integrated permission handling and session management.

✗ Not Ideal For

Users requiring a standalone, non-terminal integration or editors that do not support the Agent Communication Protocol (ACP) or stdio-based agent launching.

Freemium

Open-source adapter with free access; Autohand Code CLI offers a free forever tier for individuals/small entities, with paid hosted tiers at $8/month and $39/month.

A robust and essential bridge for bringing high-powered, terminal-native AI agent workflows into a modern, visual IDE environment.
AIIDECLICoding AgentACP
Is Autohand ACP free?

Autohand ACP is Freemium. Open-source adapter with free access; Autohand Code CLI offers a free forever tier for individuals/small entities, with paid hosted tiers at $8/month and $39/month. Check the official site for current plans.

What is Autohand ACP best for?

Developers who want to use the terminal-native Autohand Code CLI directly inside IDEs like Zed with IDE-integrated permission handling and session management.

Who makes Autohand ACP?

Autohand ACP is developed by Autohand AI. It is listed in the Terminal & CLI Agents category on ai.dosa.dev.

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