What is Agent CLI used for?

Agent CLI is a collection of local-first, AI-powered command-line agents that run entirely on your machine. It provides voice transcription, autocorrect, text-to-speech, voice editing, conversational AI, RAG with documents, and development assistance — all private and offline capable.

Yes, Agent CLI is open source under the MIT license and completely free to use. There are no paid plans or subscriptions.

Does Agent CLI require an internet connection?

No, all agents can run 100% locally without internet. Your data stays on your machine. You may optionally configure cloud providers like OpenAI or Gemini for enhanced capabilities.

What are the system requirements for Agent CLI?

You need uv (recommended) or Python 3.11+, a microphone for voice features, and speakers for text-to-speech. For local AI models, a reasonably powerful CPU or GPU is recommended.

How do I install Agent CLI?

You can install via uv: 'uv tool install agent-cli' or pip: 'pip install agent-cli'. For automatic setup including all services, run 'agent-cli install-services' after installation.

Agent CLI

Updated Jul 25, 2026

Private, offline AI agents for your terminal: voice, chat, autocorrect, and more. No data leaves your machine.

Categories:

Speech To Text|

Text To Speech|

Voice Assistant

#local ai#privacy#voice commands#open source#command line

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Editor's Verdict

Rating: 4.3/5.0•Reviewed by RAGWiki

At Free, Agent CLI stands out as a powerful solution in the speech to text,text to speech,voice assistant landscape. It is especially well-suited for professionals like Software Engineer and Writer / Content Creator. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid requires setup. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

Autocorrect
Transcribe
Transcribe Live
Diarize Live Session

In-Depth Review: What is Agent CLI?

Agent CLI provides a suite of powerful command-line tools that run entirely on your machine. Use voice transcription, autocorrect, text-to-speech, and conversational AI without sending data to the cloud. Supports hotkeys, local LLMs, and seamless system integration.

Core Features

Autocorrect

Correct grammar and spelling using a local LLM, keeping your data private.

Transcribe

Transcribe audio from microphone directly to clipboard with a hotkey.

Transcribe Live

Continuous background transcription with voice activity detection.

Diarize Live Session

Retroactively label speakers in saved transcribe-live sessions.

Speakers Management

List, rename, and merge persistent diarization speaker identities.

Speak

Convert text to speech using a local TTS engine.

Voice Edit

Edit clipboard text with voice commands like 'make this more formal'.

Assistant

Wake word-based voice assistant for hands-free interaction.

Chat

Conversational AI with tool-calling capabilities.

RAG Proxy

Chat with your documents via Retrieval-Augmented Generation.

Memory

Long-term memory system for persistent conversations.

Dev

Parallel development with git worktrees and AI coding agents.

Server

Local ASR and TTS servers with dual protocols (Wyoming & OpenAI) and multi-platform acceleration.

Pricing

Open Source (Free)

Free

All features including autocorrect, transcribe, voice-edit, assistant, chat, dev, server, and more
100% local and private
Offline capable
System-wide hotkeys
MIT License

Pros and Cons

Pros

Local & PrivateAll agents can run 100% locally. Your data stays on your machine unless you configure a cloud provider.
Offline CapableWorks without internet; no external dependencies required for core functionality.
System-wide HotkeysGlobal shortcuts (e.g., Cmd+Shift+R on macOS) for quick voice transcription and actions.
Voice-First ProductivityTranscribe, edit, and interact using voice, reducing typing fatigue.
Open SourceMIT licensed, fully transparent, and community-driven.

Cons

Requires SetupNeeds Python/uv and installation of local AI services (Ollama, Whisper, etc.) for full functionality.
Hardware RequirementsMicrophone and speakers required for voice features; local models may need significant CPU/GPU resources.
macOS FocusMenu bar app and hotkey scripts are macOS-specific; Linux/Windows support may be limited.
No Cloud SyncNo built-in cloud synchronization; configuration and data are local only.
Learning CurveNumerous commands and services may be overwhelming for non-technical users.

Use Cases & Recommended Professions

Software Engineer→ View Toolkit

Speeds up coding workflows by allowing voice-driven context input, code review, and parallel development with AI agents.

Writer / Content Creator→ View Toolkit

Dictates text faster than typing, uses autocorrect and voice editing to polish drafts.

Student→ View Toolkit

Takes notes hands-free, transcribes lectures, and queries documents with RAG proxy.

Researcher→ View Toolkit

Analyzes papers via RAG, manages long-running conversations with memory, and uses live transcription for interviews.

Productivity Enthusiast→ View Toolkit

Automates repetitive tasks using local AI agents, hotkeys, and voice commands.

Privacy-Conscious User→ View Toolkit

Needs AI tools that run entirely offline without sending data to third parties.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Agent CLI were synthesized using AI and fact-checked by our curation team to ensure accuracy.