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usewhale/Whale

Whale — blazingly fast, terminal-first AI coding agent for DeepSeek. ~98% prompt cache hit rate, 1M context, MCP tools, dynamic workflows.

#AI agent#AI coding assistant
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6 contributors
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Momentum

How fast usewhale/Whale is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 6 – Nov 4, 2026

Stars +20 in 60 days

0123
3

Forks +16 in 60 days

024
4

Merged PRs 0 in 60 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24Nov 1
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sun, Sep 6, 2026+0+10
Mon, Sep 7, 2026+1+00
Tue, Sep 8, 2026+0+00
Wed, Sep 9, 2026+0+00
Thu, Sep 10, 2026+0+00
Fri, Sep 11, 2026+0+00
Sat, Sep 12, 2026+0+00
Sun, Sep 13, 2026+1+00
Mon, Sep 14, 2026+0+00
Tue, Sep 15, 2026+2+00
Wed, Sep 16, 2026+0+00
Thu, Sep 17, 2026+0+00
Fri, Sep 18, 2026+0+10
Sat, Sep 19, 2026+1+00
Sun, Sep 20, 2026+0+00
Mon, Sep 21, 2026+0+00
Tue, Sep 22, 2026+0+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+1+00
Tue, Sep 29, 2026+0+00
Wed, Sep 30, 2026+0+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
Sat, Oct 3, 2026+0+00
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+1+00
Tue, Oct 6, 2026+1+00
Wed, Oct 7, 2026+0+00
Thu, Oct 8, 2026+0+00
Fri, Oct 9, 2026+0+00
Sat, Oct 10, 2026+0+00
Sun, Oct 11, 2026+0+10
Mon, Oct 12, 2026+1+00
Tue, Oct 13, 2026+2+10
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+10
Fri, Oct 16, 2026+1+20
Sat, Oct 17, 2026+0+40
Sun, Oct 18, 2026+1+30
Mon, Oct 19, 2026+0+20
Tue, Oct 20, 2026+0+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+00
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Tue, Oct 27, 2026+0+00
Wed, Oct 28, 2026+1+00
Thu, Oct 29, 2026+0+00
Fri, Oct 30, 2026+1+00
Sat, Oct 31, 2026+0+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+1+00
Tue, Nov 3, 2026+0+00
Wed, Nov 4, 2026+3+00
Total+20+160
  • 1#1 on the list
  • 7Rank that day
  • Not trending
  • Mentions and achievements

    Where people are talking about usewhale/Whale, and every badge it has earned
    1. Jul 161 post
      • Whale – 98% Cache Hit with DeepSeek

        Read full on Hacker News

        Hacker News

    2. 1 month earlier
    3. Jun 61 post
      • DeepSeek deserves a coding tool built for it. DeepSeek Code Whale is a Go based terminal AI coding assistant tuned for DeepSeek with 1M token context. - TUI, CLI, and headless CI modes - MCP support…

        Read full on X, posted by @so_sthbryan

        @so_sthbryan · x.com

    4. Jun 51 post
      • 一个专为 DeepSeek 优化的终端 AI 编程助手,支持超长上下文、持久会话、工具调用和动态工作流。 Whale 是一个 Go 写的终端 AI 编程工具,专门为 DeepSeek 模型优化,能处理 100 万 token 的上下文。它有三种用法:TUI 交互模式、CLI 一次性命令、headless 跑 CI。 会话可以持久保存,关掉后回来还能接着聊。支持 MCP 协议,能接 1000…

        Read full on X, posted by @QingQ77

        @QingQ77 · x.com

    5. Jun 31 post
      • DeepSeek专用的终端 coding agent 越来越有意思了。不是又一个多模型大杂烩,而是扎在 DeepSeek 的 1M 上下文和廉价推理上做优化。Go 写的,启动快,持久会话支持 MCP 和动态工作流(JS 编排多 agent)。终端里直接干活,开发体验很克制,值得长期关注。

        Read full on X, posted by @vintcessun

        @vintcessun · x.com

    6. 11 days earlier
    7. May 231 post2 posts
      • 平时拿 DeepSeek 写代码的人,可以看看 DeepSeek-Code-Whale。 GitHub: 开源终端 AI 编程 Agent,专为 DeepSeek 模型优化,支持 MCP 工具、Skills 扩展、代码任务执行、前缀缓存优化(90% 缓存命中率)、1M 上下文窗口、git worktree 隔离、read-only /ask 模式、/plan 规划模式。 适用场景: • 想降低…

        Read full on X, posted by @wsl8297

        @wsl8297 · x.com

      • Terminal AI coding agent built for DeepSeek. Features: MCP tool integration, Skills extension system, prefix-cache optimization for 97% live hit rate, 1M context window. Would this fit your current…

        Read full on X, posted by @AIDailyGems

        @AIDailyGems · x.com

    8. 11 days earlier
    9. May 121 post
      • 在终端里跑 DeepSeek API 做编程 Agent,靠 prefix-cache 把长任务成本压下来 Whale 是个 Go 写的 DeepSeek 终端 Agent,跑在 TUI 里。它专门针对 DeepSeek 的 prefix-cache 机制做了设计,追加式对话、固定上下文顺序、会话可恢复,长任务能持续吃到缓存,官方说能到 90% 缓存命中、单任务成本比 Claude Code…

        Read full on X, posted by @QingQ77

        @QingQ77 · x.com

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