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SkillsMay 11, 2026·2 min de lecture

DeepSeek TUI — Terminal Coding Agent for DeepSeek

DeepSeek TUI is a terminal coding agent for DeepSeek models. Install via npm/cargo/brew, run on your repo, and keep approval gates for edits.

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Prêt pour agents

Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

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Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Asset
Commande d'installation directe
npx -y tokrepo@latest install d950a025-f3c2-477b-b2fb-db2975bcafd7 --target codex

À exécuter après confirmation du plan en dry-run.

Introduction

DeepSeek TUI is a terminal coding agent for DeepSeek models. Install via npm/cargo/brew, run on your repo, and keep approval gates for edits.

  • Best for: Developers who want a local terminal coding agent with explicit approval gates and multiple install paths
  • Works with: DeepSeek model providers + local workspaces; supports npm/cargo/brew/Docker installation paths (per README)
  • Setup time: 10 minutes

How to Use It Well

  • Setup time ~10 minutes (npm install + deepseek doctor)
  • Multiple install paths in README (npm/cargo/brew/direct/Docker) so teams can standardize
  • GitHub stars + forks (verified): see Source & Thanks

Terminal agents are best when they’re predictable: keep a narrow scope (one repo, one task), require explicit approvals for edits, and use the built-in doctor/auth commands to prevent “mystery key” failures.

FAQ

Q: Is the npm package the runtime? A: The README states the npm package is an installer/wrapper for prebuilt Rust binaries.

Q: How do I validate my credentials? A: Use deepseek doctor and deepseek auth status to confirm which key source is active.

Q: How do I keep it safe? A: Use approval gates, run in a limited workspace mount, and start with read-only tasks before enabling write actions.

🙏

Source et remerciements

Source: https://github.com/Hmbown/DeepSeek-TUI > License: MIT > GitHub stars: 25,095 · forks: 2,074

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