DeepSeek TUI v0.8.62

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 v0.8.62 - Software Mirrors

Download DeepSeek TUI v0.8.62 Windows 64bit
codewhale-tui-windows-x64.exe | 47.28 MB

Download DeepSeek TUI v0.8.62 Windows 64bit
codewhale-windows-x64-portable.zip | 21.39 MB

Download DeepSeek TUI v0.8.62 Windows 64bit
codewhale-windows-x64.exe | 13.91 MB

Download DeepSeek TUI v0.8.62 Windows 64bit
codewhale-windows-x64.zip | 21.4 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-macos-arm64 | 13.86 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-macos-arm64.tar.gz | 22.8 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-tui-macos-arm64 | 44.34 MB

Download DeepSeek TUI v0.8.62 macOS x64
codewhale-macos-x64 | 14.49 MB

Download DeepSeek TUI v0.8.62 macOS x64
codewhale-macos-x64.tar.gz | 23.86 MB

Download DeepSeek TUI v0.8.62 macOS x64
codewhale-tui-macos-x64 | 46.95 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-macos-arm64 | 13.86 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-macos-arm64.tar.gz | 22.8 MB

Download DeepSeek TUI v0.8.62 macOS arm64
codewhale-tui-macos-arm64 | 44.34 MB

Download DeepSeek TUI v0.8.62 Linux x64
codewhale-linux-x64 | 16.43 MB

Download DeepSeek TUI v0.8.62 Linux x64
codewhale-linux-x64.tar.gz | 25.48 MB

Download DeepSeek TUI v0.8.62 Linux x64
codewhale-tui-linux-x64 | 53.3 MB

Download DeepSeek TUI v0.8.62 Linux arm64
codewhale-linux-arm64 | 16.97 MB

Download DeepSeek TUI v0.8.62 Linux arm64
codewhale-linux-arm64.tar.gz | 25.09 MB

Download DeepSeek TUI v0.8.62 Linux arm64
codewhale-tui-linux-arm64 | 52.08 MB

DeepSeek TUI v0.8.62 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:v0.8.62
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:
  • 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. Each platform also has bare, unarchived binaries attached below (codewhale- and codewhale-tui-) — these are what the npm wrapper and the in-app codewhale update download, whereas the .tar.gz / .zip archives above are the recommended manual download and additionally bundle an install script. 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 v0.8.62

Changed

  • GLM-5.2 is now the default direct Z.AI model. DEFAULT_ZAI_MODEL resolves
to GLM-5.2 in both codewhale-tui and codewhale-config; the glm-5.1 alias still resolves to GLM-5.1 (the defaulting was decoupled from the alias arm so it no longer tracks the default). Docs and config.example.toml no longer describe GLM-5.2 as an opt-in preview.
  • GLM-5-Turbo registered as a real model and wired as the faster/explore
sub-agent sibling for the GLM family: a GLM-5.2 parent routes faster/explore children to GLM-5-Turbo (direct Z.ai) and z-ai/glm-5-turbo (OpenRouter), instead of down to GLM-5.1. GLM-5.1 and GLM-5-Turbo themselves have no cheaper tier and keep children on the parent.
  • type: "explore" sub-agents default to model_strength: "faster". Bounded
read-only lookup/search/status work now uses the cheaper same-family sibling automatically, unless an explicit model or model_strength: "same" is supplied. Non-explore roles keep the conservative same default.
  • GPT-5.5 / OpenAI Codex faster route stays on GPT-5.5 with reasoning
resolved to low (the Codex Responses API has no true off, so the resolved effort is now honest low rather than off silently rewritten). No DeepSeek/GLM fallback is fabricated when no cheaper same-provider sibling exists. DeepSeek Pro→Flash routing and its no-thinking faster lane are unchanged.
  • Base prompt / delegate skill guidance updated to encourage parallel
read-only exploration (2-4 type: "explore" sub-agents) for broad repo, version, branch, benchmark, and API-surface investigations, while keeping architecture, integration, and final verification in the parent. The delegate skill examples now use provider-neutral model_strength instead of hardcoded DeepSeek model ids.
  • Agent synthesis guardrails. The base constitution now frames tools around
sufficient evidence rather than open-ended persistence: extra reads, searches, and delegation must target a missing fact, and agents should answer with limits instead of broadening searches indefinitely. The runtime loop guard now blocks duplicate read-only/delegated calls earlier and caps repeated broad lookup/delegation loops in a single turn with a synthesis-forcing tool error. Guard metadata distinguishes exact duplicates (identical_tool_call) from no-progress loops (no_progress_tool_loop).
  • Sub-agent handoff and visibility. Direct sub-agent completions are drained
before the next parent model request, so finished children can wake the main model promptly instead of waiting for an empty-tool-use branch or idle engine path. Nested sub-agents now report completions to their immediate parent inbox; the main model still receives only direct-child completions, avoiding grandchild floods while preserving nested evidence flow. Sub-agent output guidance now requires child-agent provenance when a sub-agent relies on a child report: cite the child agent_id and the child's EVIDENCE line(s), and do not present child findings as directly verified facts. The sidebar orders sub-agents as a parent/child tree and annotates nested rows with parent and depth information in hover text.
  • Sub-agent summary provenance (#2652). A sub-agent's free-text result is now
explicitly treated as an unverified self-report rather than confirmed evidence. The completion sentinel carries summary_kind: complete | truncated so the parent model can branch on whether it saw the full report or a clipped excerpt. Short summaries (≤ 12,000 chars) get a soft "re-verify material claims" suffix; longer ones are head+tail truncated with an honest marker stating the elided middle is not retrievable via retrieve_tool_result. Every summary therefore carries exactly one boundary marker, never both.
  • Provider metadata centralization. Provider env vars, config keys, aliases,
and auth hints are now resolved through the shared ProviderMetadata registry across codewhale-config, codewhale-tui, and codewhale-cli, reducing drift between the provider picker, codewhale auth, doctor --json, and setup hints.

Added

  • Agent clarification questions (#3102). Agents now have a first-class
request_user_input tool to ask the user structured clarifying questions through a modal UI surface instead of only emitting a chat message and hoping the user notices. Mirrors the approval/secret-request flow the harness already used for permissions. The tool accepts 1-3 questions, each with a header, an id, 2-4 selectable options (label + description), and allow_free_text / multi_select flags (both default to false for back-compat). Input is validated up front with actionable errors. Wired across all layers: the request_user_input tool, engine handling (turn_loop → approval), an interactive TUI modal (UserInputView) with full keyboard navigation, and the runtime protocol (EventFrame::UserInputRequest + AppRequest::SubmitUserInput) so headless / app-server clients can answer programmatically. Parity tests cover the wire round-trip and the omitted-flags default.
  • Transcript hyperlinks — out-of-band OSC 8 (#3029). Clickable file /
file:line / URL links now reach the terminal through a column-drift-safe path. Link payloads are embedded in-band by the markdown renderer, then extracted out of the ratatui buffer cells and re-emitted out-of-band by ColorCompatBackend — so the ESC bytes never occupy display columns or corrupt selection. Supporting terminals get live hyperlinks; others see the label text unchanged. Clipboard/selection extraction strips residual codes as defense-in-depth.
  • CodeWhale-only skill discovery gate (#3296). New
[skills].scan_codewhale_only = true limits session-time skill discovery to CodeWhale-owned roots (/.codewhale/skills, ~/.codewhale/skills, and any explicit skills_dir) while ignoring cross-tool directories such as .claude/skills, .opencode/skills, .cursor/skills, and ~/.agents/skills. The default remains the broad compatibility scan.
  • Permission/ask runtime rules (#3295). Sibling permissions.toml ask-only
rules are now loaded by the TUI engine and applied to exec_shell before Auto/session approval shortcuts. Matching ask rules force an approval prompt in otherwise auto-approved flows and are rejected under approval_mode = "never".
  • Runtime API no-auth documentation. docs/RUNTIME_API.md now documents
codewhale app-server --insecure-no-auth for loopback-only testing and warns against combining it with --mobile on 0.0.0.0.

Fixed

  • TUI polish. The empty-startup welcome block is centered by the actual
rendered text width, fixing the off-center layout left over from the old sidebar-oriented welcome composition. Streaming HTTP body read errors now explain whether CodeWhale can retry before output, or is surfacing a warning after partial output to avoid replaying and duplicating streamed text.
  • Config comment preservation. Rewriting config.toml, settings.toml, or
tui.toml now merges user comments and formatting back into the serialized document; if comment merge fails, the write falls back to plain serialized output rather than failing.
  • Snapshot gate respected for per-tool snapshots (#3292). Per-tool snapshots
now check [snapshots].enabled before writing, matching the existing session-level gate.
  • Poppler pdftotext detection (#1667). The dependency resolver now probes
pdftotext -v instead of --version, because Poppler treats --version as an input filename. Fixes detection on systems where only Poppler is installed.
  • Plan confirmation checklist visibility. The Plan-mode confirmation modal
now shows the active checklist under the plan details, so users can review the concrete checklist_write work breakdown before accepting or revising a plan.

Retroactive credits

A credit-reconciliation pass found shipped community fixes that were never recorded in this changelog. Crediting them now, with the version they shipped in:
  • Global ~/.deepseek/AGENTS.md fallback loading — thanks @manaskarra (fix) and @xfy6238 (report) (#1157, v0.8.27)
  • CRLF SSE event parsing for MCP — thanks @reidliu41 (fix) and @djairjr (report) (#1309, v0.8.29)
  • Reduce-motion default on VTE/flicker terminals — thanks @Geallier (report) (#1470, v0.8.34)
  • portable-pty 0.9 upgrade for LoongArch64 — thanks @quentin-lian (fix) and @k0tran (report) (#1531, #1992, v0.8.46)
  • DEEPSEEK_ALLOW_INSECURE_HTTP guard for LAN vLLM — thanks @F1LT3R (report) (#1656, v0.8.47)
  • Hidden reasoning_content kept in English regardless of locale — thanks @cmyyy (report) (#1842, v0.8.47)
  • ExternalTool abstraction layer — thanks @aboimpinto (#1794, #2294, v0.8.48)
  • Ephemeral generated project context — thanks @Final527 (report) (#3058, v0.8.59)
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 v0.8.62
Free
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Software Informations:
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Operating System:
Windows / macOS / Linux
Date Added:
2026-06-18T16:01:46.403Z
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