DevTrack

io.github.sraj0501由 GitHub 帳號 sraj0501 發布v3.2.0更新於 Nov 4, 2026

Read local work context and published Sage command knowledge over MCP.

概覽

AI 產生的概覽

DevTrack 的唯讀 MCP 伺服器讓助理讀取本機 Git 工作脈絡、工單對應、待審動作、日報脈絡與 Sage 指令知識。

可以做什麼
  • 讀取目前工作脈絡:工單脈絡、已觀測的提交與工作項目對應
  • 檢視暫存待審的動作佇列與每日結束報告脈絡
  • 讀取語音資訊與已發布的 DevTrack Sage 指令知識
  • 全部為唯讀存取:助理無法核准動作或修改 DevTrack 資料
適用情境
適合已用 DevTrack 觀察 Git 工作並對應到工單的人,希望助理在編輯器中直接回答目前工單、提交、待審更新與日報相關問題。
執行需求
以本機桌面程序執行(Windows、macOS 或 Linux),透過 MCP 安裝包安裝;需要 Git。須在目標儲存庫完成 DevTrack 設定並保持執行,使用 DevTrack 的 MCP 設定指令加入伺服器後重新載入助理。未宣告驗證、環境變數或標頭。
安裝前請注意
MCP 介面本身唯讀,但 DevTrack 會觀察提交並把 PM 更新、狀態轉換與交付放入待審佇列;已設定的自動核准規則可讓符合條件的動作自動推進。外部 PM 系統、交付管道與雲端 LLM 僅在設定後才會收到資料,匿名遙測須主動開啟且預設關閉。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 DevTrack,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

DevTrack

Never write a standup again.

DevTrack watches your Git work, connects it to tickets, and prepares status updates and end-of-day reports in the background. It is local-first, offline-capable, and stages outbound actions for your review.

[GitHub Release] [Platforms] [License]

Website · Download · Documentation · Latest release

[DevTrack demo]

Website and documentation

Mogrov owns the DevTrack landing page, wiki, privacy page, and installer scripts. This repository owns the product code and GitHub releases.

What DevTrack does

  • Observes commits without interrupting or replacing normal Git commands.
  • Reports completed work without tracking hours or time spent per task in the v3.3.0 development line.
  • Maps ticket-named branches such as feature/AUTH-42-refresh-token to work items.
  • Builds reviewable ticket updates and end-of-day reports from the work already completed.
  • Keeps its client-side source of truth in local SQLite and uses Ollama by default for local AI.
  • Shares current work and DevTrack Sage knowledge with compatible assistants through ten read-only MCP tools.

Nothing is posted merely because DevTrack generated it. PM updates, transitions, and deliveries are placed in a pending-actions queue before delivery; configured earned auto-approval rules can advance eligible actions. Anonymous telemetry is also opt-in and disabled by default.

Get started

DevTrack supports Windows, macOS, and Linux. Git is required. The core Go client, SQLite storage, Git observation, queue, and MCP features do not require Python or an AI model. Managed AI features add uv, PostgreSQL, and an LLM provider; Ollama is the default.

1. Install

Use the Mogrov download link, or install the latest stable release directly:

Linux or macOS

sh
curl -fsSL https://mogrov.com/downloads/devtrack/install.sh | sh

Windows PowerShell

powershell
irm https://mogrov.com/downloads/devtrack/install.ps1 | iex

Manual binaries and checksums are available on GitHub Releases.

Stable v3.2.0 retains the former time-tracking behavior. The fixes and removal are on dev at 860b91b, prepared for v3.3.0; rolling development builds use dev-<commit>. A push to dev does not upgrade an installed binary or publish a new stable release. See the development release notes and qualification plan.

sh
devtrack version

2. Configure a repository

Run setup from the Git repository you want DevTrack to observe:

sh
cd /path/to/your/repositorydevtrack setupdevtrack startdevtrack statusdevtrack doctor

The setup wizard configures the operating mode, repository, LLM, identity, and optional PM integration. Choose none for the PM integration when evaluating the local-only path. Managed mode requires PostgreSQL for the optional Python service; Go-native features remain available while that service and the model are being prepared.

Managed mode starts the local Python server for AI-written ticket comments, EOD narratives, Boardroom reviews, planning, and voice personalization. External mode does not start Python: point DEVTRACK_SERVER_URL at a separately operated Python/PostgreSQL server for those features. With no server reachable, commit capture, deterministic ticket mapping, local history, queue, and MCP still work; generated reports and other server-backed features are unavailable. Model failures on a reachable server fall back to raw or templated wording. External mode skips automatic first-run voice mining. See the LLM guide.

3. Try the workflow

Use a ticket-named branch and commit normally:

sh
git switch -c feature/AUTH-42-refresh-tokengit commit -m "fix auth redirect"
devtrack logsdevtrack queuedevtrack eod

queue lets you inspect staged actions before approving anything. See the Quick Start for the complete first-run walkthrough.

In the development line, capture enumerates unseen commits across local branch tips, so rapid commits and switching branches during processing are included. Keep the daemon running: existing history is seeded at startup, and catch-up for commits made while it was stopped is not guaranteed.

devtrack work start AUTH-42 selects fallback ticket context; work stop clears it and work status shows it. These commands do not start or stop timers. devtrack work report generates a commit-based EOD report through the configured server.

Incidents, stories, bugs, and tasks all map by their work-item reference: for example, a Jira incident hotfix/OPS-123-restore-login, Azure DevOps story feature/ADO-456-add-export, or GitHub issue fix/GH-42-handle-timeout. The PM system supplies the item type; the branch kind does not. A canonical branch wins over an explicit commit reference, which wins over selected ticket context. Run devtrack ticket convention and devtrack ticket check <branch> to inspect the rule, or devtrack ticket link <commit-hash> <ticket-ref> to correct an observed mapping. See work-item and ticket mapping for configuration, conflicts, and examples.

devtrack eod status and devtrack eod show read the latest report across local and server history. devtrack queue list --all shows recent actions from both stores. Server actions use IDs such as server:123: pass that full ID to queue approve, queue reject, or queue edit. Bare numeric IDs address local actions. An unavailable server is reported explicitly.

Agent memory and DevTrack Sage

Add DevTrack's read-only MCP server to the current project:

sh
devtrack mcp setupdevtrack mcp testdevtrack mcp status

Reload your MCP-capable assistant after setup. It can then read current ticket context, commits, pending actions, EOD context, voice information, and published Sage knowledge. MCP cannot approve actions or modify DevTrack data.

DevTrack Sage captures useful command activity from supported coding harnesses and turns repeated work into searchable local Markdown knowledge:

sh
devtrack sage statusdevtrack sage search "docker compose"devtrack sage topics

Learn more in MCP and Agent Memory and DevTrack Sage.

Where to go next

I want to…Guide
Install or upgrade DevTrackDownload
Complete the first-run workflowQuick Start
Understand deployment choicesInstallation
Configure repositories, integrations, or modelsConfiguration
Find a commandCLI Reference
Connect an AI assistantMCP and Agent Memory
Use local command knowledgeDevTrack Sage
Fix an installation or runtime problemTroubleshooting
Review privacy and data flowPrivacy
Qualify automatic capture and reportingBasic workflow testing
Map incidents, stories, bugs, and tasksWork-item and ticket mapping
Review the v3.3.0 development boundaryDevelopment release notes

Contributors and maintainers can start with the repository documentation map and architecture.

Privacy

The default Go, SQLite, and Ollama path stays local. External PM systems, delivery channels, and cloud LLMs receive data only when configured for the corresponding operation. Telemetry remains off until explicitly enabled with devtrack telemetry on. Read the full privacy guide before enabling external services.

License

DevTrack uses the DevTrack Community License: free for personal use and teams of up to 10 users; larger teams and hosted use require an enterprise license.

來源:README.md,提交 c2fbb93

工具

0
SourceWeft 曾在隔離沙箱中以無憑證方式啟動該軟體包一次,以列出其工具,但未能完成:該軟體包類型無法在沙箱中執行。

版本歷史

2
  1. v3.2.0最新Oct 21, 2026
  2. v3.1.1Sep 16, 2026

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