DeepSeek TUI v0.8.65

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 v0.8.65 - Software Mirrors

Download DeepSeek TUI v0.8.65 Windows 64bit
codew-windows-x64.exe | 244 kB

Download DeepSeek TUI v0.8.65 Windows 64bit
codewhale-tui-windows-x64.exe | 51.36 MB

Download DeepSeek TUI v0.8.65 Windows 64bit
codewhale-windows-x64-portable.zip | 23.05 MB

Download DeepSeek TUI v0.8.65 Windows 64bit
codewhale-windows-x64.exe | 14.31 MB

Download DeepSeek TUI v0.8.65 Windows 64bit
codewhale-windows-x64.zip | 23.05 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codew-macos-arm64 | 455.77 kB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-macos-arm64 | 14.17 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-macos-arm64.tar.gz | 24.52 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-tui-macos-arm64 | 47.72 MB

Download DeepSeek TUI v0.8.65 macOS x64
codew-macos-x64 | 436.11 kB

Download DeepSeek TUI v0.8.65 macOS x64
codewhale-macos-x64 | 14.84 MB

Download DeepSeek TUI v0.8.65 macOS x64
codewhale-macos-x64.tar.gz | 25.7 MB

Download DeepSeek TUI v0.8.65 macOS x64
codewhale-tui-macos-x64 | 50.92 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codew-macos-arm64 | 455.77 kB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-macos-arm64 | 14.17 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-macos-arm64.tar.gz | 24.52 MB

Download DeepSeek TUI v0.8.65 macOS arm64
codewhale-tui-macos-arm64 | 47.72 MB

Download DeepSeek TUI v0.8.65 Linux x64
codew-linux-x64 | 596.74 kB

Download DeepSeek TUI v0.8.65 Linux x64
codewhale-linux-x64 | 16.78 MB

Download DeepSeek TUI v0.8.65 Linux x64
codewhale-linux-x64.tar.gz | 27.53 MB

Download DeepSeek TUI v0.8.65 Linux x64
codewhale-tui-linux-x64 | 57.79 MB

Download DeepSeek TUI v0.8.65 Linux arm64
codew-linux-arm64 | 523.19 kB

Download DeepSeek TUI v0.8.65 Linux arm64
codewhale-linux-arm64 | 17.31 MB

Download DeepSeek TUI v0.8.65 Linux arm64
codewhale-linux-arm64.tar.gz | 26.97 MB

Download DeepSeek TUI v0.8.65 Linux arm64
codewhale-tui-linux-arm64 | 55.94 MB

DeepSeek TUI v0.8.65 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 the matched runtime 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:v0.8.65
The image ships the codewhale dispatcher, codew shim, 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 codew shim, while codewhale-tui produces the interactive runtime that the dispatcher delegates to. Installing only one crate will fail at runtime with a MISSING_COMPANION_BINARY error.

Manual download — platform archives (recommended)

Each archive below contains the codewhale dispatcher, codew shim, 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 codewhale.exe, codew.exe, and codewhale-tui.exe 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-, codew-, and codewhale-tui-) — the npm wrapper and the in-app codewhale update download the matched runtime binaries, 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 v0.8.65

Added

  • Provider/model/route resolution (EPIC #2608). Canonical provider, model,
offering, and route types with a single RouteResolver that produces a resolved ReadyRouteCandidate (endpoint, wire protocol, model id, context limit, price) for every switch (#3458, #3084, #3384). The executing client is now constructed from the resolved candidate rather than re-derived from config (#3384). A committed, network-free Models.dev-shaped catalog gives models real context windows and pricing, with a secret-free live cache (#3497, #3498, #3385). Offering pricing with provenance is projected onto candidates (#3501, #3085), and route limits feed a route-aware context-budget service (#3508, #3523, #3086).
  • Fleet execution substrate (EPIC #3154). Fleet profile types and config
(#3469), durable manager resume, workspace agent-profile loading resolved into the worker runtime (#3367), loadout intent carried in task specs (#3512), and receipts that persist the resolved route for inspection (#3154, #3166). Worker status is folded into the unified /fleet surface and exposed through the Runtime API.
  • Provider surfaces. A /provider readiness dashboard with reasoning
readiness, an experimental/supported maturity marker, and an "open models for this provider" action (#3083, #2984, #3485); cross-provider /model search with scroll and provider type-ahead (#3484, #3075); inline reasoning-stream routing with per-provider overrides (#3222); usage telemetry normalized into canonical token classes including Responses cache-miss and reasoning tokens (#2961, #3509); and remote MCP OAuth login with bearer/header auth precedence (#3527).
  • More providers and routes. User-defined OpenAI-compatible custom providers
via [providers.] (#1519); a DeepSeek Anthropic-compatible route (#2963, #3449); a Qianfan route (#3425); Zhipu folded into Z.ai with equal-treatment model normalization (#3539); DashScope/Together fixtures.
  • Localized mode picker and composer indicators. The /mode picker prompt,
mode names, and hints, plus the composer's Vim mode indicator, now render in all seven shipped locales (model-facing mode labels stay English). Harvested from #2239 by @gordonlu.
  • Website and automation. A runtime/integrations page, provenance and
mirror-trust copy, a fact-drift CI gate, a published install script, and a weekly community digest archive on codewhale.net (#3419, #3421, #3415, #3482, #3420); per-automation mode/shell/trust/approval settings (#3467).
  • Model reference browser. A read-only /modeldb command (aliases
model-reference, modelref) opens a pager over the bundled catalog — every model's factual context window, max output, modality, and price, grouped by provider/kind. Labels only: it never selects, routes, or tiers a model (#3205, #2300).
  • Transcript presets. A /config preset [--save] mechanism with a
first calm preset — calm mode, calm tool collapse, comfortable spacing, and low motion — presentation-only and evidence-preserving (#3478).
  • Model capability profiles. A typed model_profile module separates
intrinsic model facts from resolved provider-route capability, so compact routes defer heavier nonessential tools while standard/full routes keep the eager tool surface (#3451, #3365).
  • Live provider catalog refresh. A secret-free /models live-fetch layer
(401/403/404/429 mapped to typed outcomes) feeds the catalog cache; the API key authorizes the request but is never persisted into the delta or cache (#3385).

Changed

  • Config modularization (#3311). ProviderKind (#3505), harness posture
(#3507), and provider default seeds (#3503) moved into dedicated modules, and the config.rs monolith split into clean leaf modules (paths, search, model/base-URL constants, sub-agent limits) behind a pub use facade. AppMode helpers were centralized (#3510), and mode-vs-permission policy is now derived through a single base_policy_for_mode resolver instead of scattered mutation (#3386, advisory review-intent behavior preserved).
  • Leaner tool surface. Dropped task_shell_* from the active set and folded
tool_search_* (#3463); ablated the in-turn loop_guard and encoded reasoning dispositions (#3462); added the Orchestration disposition to the constitution.
  • Routing. Provider/model switches and the capability-aware fallback chain
resolve through RouteResolver; reasoning effort is normalized for the resolved provider; the fallback chain now skips providers that lack auth (#2574); and context window and memory-pressure come from the resolved route (#3086).
  • UX. Approval modal gained a group divider and selected-row caret (#3515);
picker scroll/type-ahead and selection contrast hardened (#3500); the README was rewritten as an architecture end-cap (#3087); and repo agent guidance was de-hardcoded to live truth.
  • Fleet identity and defaults. Fleet workers now enter with an explicit
"summoned Fleet member" operating contract, setup/profile prompts keep the default model behavior as same-route inheritance, and generated worker instructions avoid leaking recursive topology that only the orchestrator needs.
  • Legacy swarm cleanup. Removed the obsolete /swarm core command/menu
registration so /fleet is the product surface, while /subagents remains a compatibility shortcut to worker status.
  • Running-state animation. Tool cards and background-task rows now share one
faster braille spinner cadence, so Bash/background work reads consistently alive across the transcript and sidebar.
  • Restored contributor credit. Threaded machine-readable credit
(docs/CONTRIBUTORS.md + .github/AUTHOR_MAP) for earlier merged work that shipped without it, including the /jobs cancel-all action and the npm retry-timeout hint (#1538) by @jieshu666, and the community ACP adapter reference by @rockeverm3m.

Fixed

  • Release hygiene. The strict `cargo clippy --workspace --all-targets --locked
-- -D warnings gate passes; npm run build` no longer dirties the generated web facts; the site sets metadataBase; the community digest page parses each record independently and localizes its chrome; and cargo audit is clean with the starlark-transitive unmaintained advisories documented.
  • Routing and mode correctness. Ordinary prompt text is no longer
interpreted as a mode switch (#3387, #3491); model candidates are scoped to the active provider; Together-owned DeepSeek routes are accepted (#3426); insecure http:// custom endpoints raise an advisory warning (#1519); and the Fleet setup planner's role/model selection now drives the generated profile.
  • Runtime stability. MCP connection drops are explicit (#3524), HTTP API
calls reuse a shared MCP pool (#3532), and per-agent sub-agent mailbox telemetry is throttled to cut UI lag (#3454).
  • YOLO background-shell approvals. A background shell command no longer pops
an approval modal in YOLO mode. classify_risk marks all shell commands destructive, so the auto-review safety floor held every background shell for review, and the ForcePrompt site never checked auto_approve — only background commands surfaced it, since foreground shells take the Interactive origin and skip that branch.
  • Bash approval modal fit. The shell approval modal now labels Bash
commands directly, avoids repeating command/workdir in the impact summary, wraps long commands, and switches to compact controls on short terminals so the decision keys stay visible.
  • Custom-provider picker rows. Concrete [providers.] entries now
appear in the provider picker (id, endpoint, auth readiness, wire protocol, current model) instead of only the generic placeholder; auth readiness honors per-entry key/env/metadata/no-auth/loopback.
  • Passive MCP tool discovery. Runtime API-owned stdio MCP processes are no
longer spawned from passive /v1/apps/mcp/tools requests; live discovery remains available through ?connect=true. doctor now warns on relative-path stdio MCP commands without cwd.

Credits

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 v0.8.65
Free
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Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-06-26T16:01:33.855Z
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