DeepSeek TUI v0.8.60

DeepSeek TUI is an open source terminal based coding agent designed for DeepSeek AI models. Unlike a simple chatbot, it can interact with your local workspace, execute shell commands, manage git operations, and assist with software development tasks directly from the command line.

The project is written in Rust and focuses on speed, low resource usage, and keyboard driven workflows. It is especially appealing for developers who spend most of their time in the terminal.

DeepSeek TUI is gaining attention among developers who prefer terminal based workflows and want direct access to AI powered coding tools without relying on heavy IDE integrations. Built around DeepSeek models, it transforms the terminal into an interactive coding assistant capable of editing files, running commands, and managing development workflows.

Download DeepSeek TUI v0.8.60 - Software Mirrors

Download DeepSeek TUI v0.8.60 Windows 64bit
codewhale-tui-windows-x64.exe | 45.44 MB

Download DeepSeek TUI v0.8.60 Windows 64bit
codewhale-windows-x64-portable.zip | 20.6 MB

Download DeepSeek TUI v0.8.60 Windows 64bit
codewhale-windows-x64.exe | 13.02 MB

Download DeepSeek TUI v0.8.60 Windows 64bit
codewhale-windows-x64.zip | 20.6 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-macos-arm64 | 12.97 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-macos-arm64.tar.gz | 21.77 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-tui-macos-arm64 | 42.24 MB

Download DeepSeek TUI v0.8.60 macOS x64
codewhale-macos-x64 | 13.51 MB

Download DeepSeek TUI v0.8.60 macOS x64
codewhale-macos-x64.tar.gz | 22.78 MB

Download DeepSeek TUI v0.8.60 macOS x64
codewhale-tui-macos-x64 | 44.47 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-macos-arm64 | 12.97 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-macos-arm64.tar.gz | 21.77 MB

Download DeepSeek TUI v0.8.60 macOS arm64
codewhale-tui-macos-arm64 | 42.24 MB

Download DeepSeek TUI v0.8.60 Linux x64
codewhale-linux-x64 | 16.78 MB

Download DeepSeek TUI v0.8.60 Linux x64
codewhale-linux-x64.tar.gz | 24.23 MB

Download DeepSeek TUI v0.8.60 Linux x64
codewhale-tui-linux-x64 | 52.77 MB

Download DeepSeek TUI v0.8.60 Linux arm64
codewhale-linux-arm64 | 15.97 MB

Download DeepSeek TUI v0.8.60 Linux arm64
codewhale-linux-arm64.tar.gz | 23.94 MB

Download DeepSeek TUI v0.8.60 Linux arm64
codewhale-tui-linux-arm64 | 49.7 MB

DeepSeek TUI v0.8.60 Release Notes:

CodeWhale is the canonical project, command, npm package, and
release-asset name. The legacy npm package deepseek-tui is
deprecated and receives no further releases. Users coming from
v0.8.x legacy deepseek / deepseek-tui names should migrate
with docs/REBRAND.md.

Install

Recommended — npm (one command, both binaries)

bash
npm install -g codewhale
The wrapper downloads both binaries from this Release and places them in the same directory.

Docker / GHCR

bash
docker run --rm -it \
  -e DEEPSEEK_API_KEY="$DEEPSEEK_API_KEY" \
  -v ~/.deepseek:/home/codewhale/.deepseek \
  ghcr.io/hmbown/codewhale:v0.8.60
The image ships the codewhale dispatcher and codewhale-tui runtime. The latest tag is also updated on release.

Cargo (Linux / macOS)

bash
cargo install codewhale-cli codewhale-tui --locked
Both crates are required — codewhale-cli produces the codewhale dispatcher and codewhale-tui produces the interactive runtime that the dispatcher delegates to. Installing only one binary will fail at runtime with a MISSING_COMPANION_BINARY error.

Manual download — platform archives (recommended)

Each archive below contains both the codewhale dispatcher and codewhale-tui runtime, plus an install script: | Platform | Archive | Install script | |---|---|---| | Linux x64 | codewhale-linux-x64.tar.gz | install.sh | | Linux ARM64 | codewhale-linux-arm64.tar.gz | install.sh | | Linux RISC-V | codewhale-linux-riscv64.tar.gz | install.sh | | macOS x64 | codewhale-macos-x64.tar.gz | install.sh | | macOS ARM | codewhale-macos-arm64.tar.gz | install.sh | | Windows x64 (installer) | CodeWhaleSetup.exe | NSIS setup | | Windows x64 | codewhale-windows-x64.zip | install.bat | | Windows x64 (portable) | codewhale-windows-x64-portable.zip | — | Unix (Linux / macOS): 
bash
tar xzf codewhale-.tar.gz
cd codewhale-
./install.sh
Windows:
  • For the installer path, run CodeWhaleSetup.exe; it installs both binaries under %LOCALAPPDATA%\Programs\CodeWhale\bin and adds that directory to the current-user PATH.
  • Extract codewhale-windows-x64.zip
  • Run install.bat (copies to %USERPROFILE%\bin)
  • Add %USERPROFILE%\bin to your PATH
The portable Windows archive skips the install script — extract and run from any directory. The NSIS installer is currently unsigned and may trigger Windows SmartScreen until a signing certificate is wired into the release pipeline. Individual binaries are also attached below for scripting and the npm wrapper. The legacy npm package deepseek-tui is deprecated and is not republished. For migration from v0.8.x legacy binary names, see docs/REBRAND.md.

Verify (recommended)

Download the checksum manifests from this Release and verify: 
bash

Linux — archive bundles

sha256sum -c codewhale-bundles-sha256.txt

Linux — individual binaries

sha256sum -c codewhale-artifacts-sha256.txt

macOS

shasum -a 256 -c codewhale-bundles-sha256.txt
shasum -a 256 -c codewhale-artifacts-sha256.txt

What's in v0.8.60

Added

  • Agent Fleet real-run cutover (#3154/#3096). codewhale fleet run now
launches durable workers through the headless `codewhale exec --output-format stream-json` path instead of the local simulation interpreter, with terminal worker events freeing leases so queued fleet tasks continue running.
  • Read-only shell parallelism (#2983). The engine can now run conservative
read-only shell calls in parallel, including strict bash/sh/zsh -c wrappers for whitelisted commands, while writes, stdin, background TTY work, redirects, pipes, command substitution, and follow-mode tails stay serial.
  • Declarative JS/TS WhaleFlow authoring (#3097). WhaleFlow now accepts a
compile-only workflow({...}) JavaScript/TypeScript authoring form that lowers into the existing WorkflowSpec validator without executing user JavaScript.
  • Slash-menu Ctrl+P/Ctrl+N navigation (#3196). The slash command menu now
supports Ctrl+P/Ctrl+N movement without letting the global file picker steal focus while the menu is open. Thanks @1Git2Clone for the PR.
  • New models and first-party provider routes. This release adds
GLM-5.2 (selectable on the Z.ai Coding Plan and over OpenRouter as z-ai/glm-5.2, alongside the existing GLM-5.1 default), a first-party Z.ai provider route, a first-party StepFun / StepFlash route (step-3.7-flash), and a first-party MiniMax route defaulting to MiniMax-M3 with the M2.7/M2.5/M2.1 family selectable (#3187/#3191).

Changed

  • README and contributor credits. The README now has a shorter public
overview and moves the full contributor ledger to docs/CONTRIBUTORS.md, preserving public thanks for DeepSeek, DataWhale, OpenWarp, and Open Design.
  • Fleet-backed sub-agent direction. Runtime docs now state the intended
cutover clearly: "sub-agent" is role/UX vocabulary, while durable detached work should converge on the fleet-backed worker lifecycle with retries, receipts, and ledgered inspection.

Fixed

  • Sub-agent eval no longer blocks by default. agent_eval now returns the
current projection immediately and delivers follow-up input without waiting for a running child to finish its provider call. Pass block:true for an intentional terminal wait.
  • Z.ai GLM thinking traces. Direct Z.ai requests now use the documented
thinking shape, preserve and replay reasoning_content, classify GLM reasoning streams as thinking output, and accept ultracode as a max-effort alias.
  • Claude skill archive compatibility (#2743). /skill install keeps
portable Claude-style skill folders supported while rejecting multi-skill Claude plugin archives clearly instead of silently installing only one skill and dropping plugin semantics. Thanks @AiurArtanis for the ecosystem request. Contributor credits for this release live in the changelog entry above — thank you to everyone whose reports, PRs, reviews, and reproductions shaped it. See CHANGELOG.md for full notes and docs/CHANGELOG_ARCHIVE.md for older releases.

Contributors

Thanks to the community members whose PRs and ecosystem reports shaped v0.8.60:
  • @1Git2Clone — slash-menu Ctrl+P/Ctrl+N navigation (#3196)
  • @AiurArtanis — Claude skill archive compatibility (#2743)
And thank you to everyone who filed issues, tested builds, reviewed PRs, and shared reproductions across the v0.8.58–v0.8.60 release train.

Key Features of DeepSeek TUI

  • Terminal Native Workflow
    DeepSeek TUI operates entirely within the terminal, allowing developers to work without switching between browser windows or external interfaces.

  • AI Assisted Coding
    The assistant can read and edit files, generate code, explain logic, and help automate development tasks.

  • Shell Command Execution
    It supports running terminal commands directly through the interface, streamlining development workflows.

  • Git Integration
    Developers can manage repositories, review changes, and handle version control related tasks from inside the tool.

  • Multiple Work Modes
    DeepSeek TUI includes modes like Plan, Agent, and YOLO, offering different levels of automation and approval control.

  • Large Context Handling
    The tool is built around DeepSeek V4 capabilities, including support for extremely large context windows that help with understanding bigger codebases.

User Experience

DeepSeek TUI is designed for developers comfortable with terminal environments. The interface is keyboard focused and efficient, though beginners may need time to adapt.

The workflow feels closer to tools like Claude Code or Codex style assistants rather than traditional chat applications. Community feedback on Reddit and GitHub discussions highlights its speed and practical coding workflow.

Performance and Compatibility

Because it is written in Rust, DeepSeek TUI is lightweight and responsive. It supports Linux, macOS, and Windows, with installation available through npm, Cargo, or direct binaries.

Performance depends heavily on the connected DeepSeek models and API configuration, but the local interface itself remains fast and efficient.

Pros

  • Fast terminal native workflow

  • AI powered coding and automation

  • Lightweight Rust based architecture

  • Supports file editing and shell execution

  • Open source and actively developed

Cons

  • Requires familiarity with terminal workflows

  • Depends on external AI APIs

  • Advanced automation modes may feel risky for inexperienced users

DeepSeek TUI is ideal for developers, DevOps engineers, and terminal focused power users who want AI assistance integrated directly into their command line workflow. It is especially attractive for users seeking a lightweight alternative to browser based AI coding tools.

DeepSeek TUI combines AI coding assistance with the efficiency of terminal workflows. Its fast performance, flexible automation, and developer focused design make it one of the most interesting open source AI terminal tools currently gaining traction.

DeepSeek TUI v0.8.60
Free
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Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-06-14T16:01:29.216Z
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