DeepSeek TUI v0.8.58

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 v0.8.58 - Software Mirrors

Download DeepSeek TUI v0.8.58 Windows 64bit
codewhale-tui-windows-x64.exe | 42.22 MB

Download DeepSeek TUI v0.8.58 Windows 64bit
codewhale-windows-x64-portable.zip | 19.4 MB

Download DeepSeek TUI v0.8.58 Windows 64bit
codewhale-windows-x64.exe | 12.58 MB

Download DeepSeek TUI v0.8.58 Windows 64bit
codewhale-windows-x64.zip | 19.4 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-macos-arm64 | 12.58 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-macos-arm64.tar.gz | 20.56 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-tui-macos-arm64 | 39.43 MB

Download DeepSeek TUI v0.8.58 macOS x64
codewhale-macos-x64 | 13.11 MB

Download DeepSeek TUI v0.8.58 macOS x64
codewhale-macos-x64.tar.gz | 21.52 MB

Download DeepSeek TUI v0.8.58 macOS x64
codewhale-tui-macos-x64 | 41.53 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-macos-arm64 | 12.58 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-macos-arm64.tar.gz | 20.56 MB

Download DeepSeek TUI v0.8.58 macOS arm64
codewhale-tui-macos-arm64 | 39.43 MB

Download DeepSeek TUI v0.8.58 Linux x64
codewhale-linux-x64 | 16.33 MB

Download DeepSeek TUI v0.8.58 Linux x64
codewhale-linux-x64.tar.gz | 23.05 MB

Download DeepSeek TUI v0.8.58 Linux x64
codewhale-tui-linux-x64 | 49.85 MB

Download DeepSeek TUI v0.8.58 Linux arm64
codewhale-linux-arm64 | 15.58 MB

Download DeepSeek TUI v0.8.58 Linux arm64
codewhale-linux-arm64.tar.gz | 22.79 MB

Download DeepSeek TUI v0.8.58 Linux arm64
codewhale-tui-linux-arm64 | 46.94 MB

DeepSeek TUI v0.8.58 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:v0.8.58
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 v0.8.58

Added

  • Native Anthropic provider. A dedicated Messages API adapter
(/v1/messages with x-api-key auth) replaces OpenAI-dialect shims for Claude models: adaptive thinking with output_config.effort shaping, prompt-cache breakpoints (capped at 4, earliest dropped), signed-thinking replay via signature_delta, normalized cache-hit/miss usage telemetry, and SSE error envelopes. claude-opus-4-8, claude-sonnet-4-6, and claude-haiku-4-5 join the model registry; configure with ANTHROPIC_API_KEY (#3014).
  • Hooks v2. tool_call_before hooks can now return a JSON decision —
`{"decision": "allow"|"deny"|"ask", "reason", "updatedInput", "additionalContext"}` — with deny > ask > allow precedence across multiple hooks, last-writer-wins input rewriting, and concatenated context. Exit code 2 remains a legacy hard deny. Hooks support glob matchers and project-local .codewhale/hooks.toml (#3026).
  • Clickable sidebar. Background-job rows show/cancel on click, the
Ctrl+K hint row runs /jobs cancel-all, and agent rows open /subagents; row actions are built in the same pass as the rendered lines so a click can never target the wrong job (#3028).
  • OSC 8 out-of-band hyperlink infrastructure with per-region open/close
sequences that survive partial redraws (#3029).
  • codewhale exec gains --allowed-tools, --disallowed-tools (deny wins),
--max-turns, and --append-system-prompt (#3027).
  • Constitution prompt source: YAML source-of-truth plus Python renderer for
the system prompt, with the active prompt now served from constitution.md (#3015, renderer reconciliation still tracked).
  • Agent-task issue template, labels, and runner protocol (#3021); remote
smoke-test droplet loop hardening — gh CLI, swapfile, agent sessions (#3022).

Changed

  • Sub-agent routing is provider-aware. DeepSeek ids are no longer
hardcoded into model validation; routing works from per-provider big/cheap candidates, the network router is skipped when a provider has no cheap tier, and spawn-time model requests are validated against the active provider (#3018).
  • Model-specific facts in the system prompt (context window, sub-agent
pricing, thinking notes, architecture characteristics) are now templated per-model instead of hardcoded DeepSeek V4 claims, in both base.md and constitution.md (#3025).
  • Provider capability lookups for Moonshot/OpenAI/Atlascloud resolve from
per-model registry rows (bare and vendor-prefixed ids) instead of hardcoded 64K-era floors (#3023).
  • Reasoning-effort now reaches Atlascloud (DeepSeek dialect), Moonshot
(thinking enable/disable), and Ollama (think param) (#3024); Moonshot/ Kimi models joined the reasoning-content provider and model gates (#3016).
  • Transcript polish: compact tool-call cells without boilerplate (#3031),
internal turn/agent ids hidden behind stable labels (#3030), and Ctrl+B now backgrounds the running foreground shell directly instead of opening a menu (#3032).
  • The Tasks sidebar separates "Model reasoning" from "Background commands",
and auth list reports the same active-credential source as auth status for openai-codex.

Fixed

  • TUI freeze under sub-agent load. Rapid AgentProgress events
saturated the render loop and starved terminal input; progress-driven repaints are now throttled to one per 100ms (#3033).
  • Hooks on Windows. Hook commands were passed to cmd /C through
CRT-style argument quoting, which injected literal \" sequences that cmd.exe never unescapes — JSON decisions could not parse. Commands now reach cmd.exe verbatim via raw_arg.
  • Codex Responses: assistant tool results are converted to
function_call_output items (multi-turn tool calling previously broke), tool schemas are sanitized for the Responses API, and maximum effort maps to xhigh (#3019, #3017 — both partially; retry/backoff and per-tool strict mode remain open).
  • Better tool-denial and provider error messages harvested from PR #2933
(#3020). 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.

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 v0.8.58
Free
Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-06-12T16:02:23.590Z
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