
Giljo HQ
ai.giljo由 giljo.ai 發布官方發布者v2.13.0更新於 Nov 3, 2026
Context engineering for AI coding agents: product context, project missions, and 360 memory.
概覽
供 AI 程式開發代理使用的被動式情境伺服器,透過 MCP 保存產品情境、專案任務與 360 Memory,並協調多代理協作。
- 可以做什麼
- 儲存與讀取產品情境:描述、技術堆疊、架構、測試策略與願景文件
- 建立並啟用專案、組裝啟動提示詞,追蹤任務與代理作業進度
- 透過 Message Hub 協調代理:持續性討論串、參與者與輪值交接,可跨工作階段與跨機器
- 管理代理範本與設定檔,包含角色、指示與成功標準
- 自動寫入並搜尋已完成專案的 360 Memory,可選擇結合 git 提交紀錄
- 適用情境
- 適合透過 MCP 使用 Claude Code、Codex CLI 或 ChatGPT 等程式開發代理,並希望在不同工作階段間共用持續性的產品定義與累積專案記憶時使用。也適合多個代理協作同一程式碼庫的團隊。
- 執行需求
- 可使用 app.giljo.ai 的遠端端點並以 OAuth 登入;或自架社群版,需要 Python 3.12+、PostgreSQL 18+ 與 Node.js 22.23.3+。託管版的終端機工具也可用 API 金鑰連線。需自備 AI 工具與訂閱。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Giljo HQ,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/ai.giljo%2Fhq/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"giljo-hq": {
"type": "http",
"url": "https://app.giljo.ai/mcp"
}
}
}README
Context engineering platform for AI-assisted software development.
Define your product once. Every agent that connects gets the full picture.
[Python] [FastAPI] [Vue 3] [Node.js] [PostgreSQL] [License] [Setup] [MCP Conformance] [Backend CI] [Frontend CI] [CodeQL]
Free Community Edition · Self-Hosted · Privacy First · Bring Your Own AI
Works with: Claude Code CLI · Claude.ai / Desktop · Codex CLI · ChatGPT.com · Any MCP Client
The Staging view: write what you want done. GiljoAI generates the mission and assigns agents from your templates.
What Is Giljo HQ
Giljo HQ, a GiljoAI product, is a passive context server for AI coding tools. It stores your product knowledge, generates structured prompts, and coordinates multi-agent workflows via the Model Context Protocol (MCP). It does not write code or call any AI model. Your AI coding tool does all reasoning and coding using your own subscription.
GiljoAI sits at the intersection of product thinking and development. Whether you are a developer learning to define what you build before you build it, or a product manager turning a specification into working software, the platform gives you a structured path from vision to execution. The clearer your product definition, the more effective every agent session becomes.
Bring Your Own AI. GiljoAI works with Claude Code CLI, Claude.ai / Desktop, Codex CLI, ChatGPT.com, or any MCP-compatible tool. On Hosted, most tools connect with a one-click browser sign-in; terminal tools can also use an API key, which is what Community Edition's Connect tab gives you. You can run multiple tools simultaneously.
Quick Start
Windows (PowerShell):
Linux / macOS:
The installer checks for prerequisites, downloads the latest release, sets up the database, builds the frontend, and walks you through configuration. When done, run python startup.py to start the server. First run opens the Setup Wizard in your browser.
Manual install (advanced)
Requires Python 3.12+, PostgreSQL 18+, Node.js 22.23.3+.
Using VS Code? This repo ships a .vscode/mcp.json pointing at your local
Giljo HQ install (http://localhost:7272/mcp) — open the folder and VS Code's
MCP integration picks it up automatically. No copy-pasting a connect command.
The Six Pillars
Your Tools, Your Subscription
GiljoAI never touches your AI credits. You bring your own Claude Code CLI, Claude.ai / Desktop, Codex CLI, ChatGPT.com, or any MCP-compatible tool, each with your own subscription. GiljoAI acts as a passive MCP server: your tool connects over HTTP, reads context and coordination data, and does all the reasoning and coding itself.
Define Your Product
Create a Product to represent the software you are building. Fill in context fields: description, tech stack, architecture, testing strategy, and more. Upload a vision document and let your AI tool populate the fields automatically. Vision documents are the most impactful input you can give GiljoAI. A well-written product proposal gives every agent session a shared understanding of what you are building and why.
Roadmap
The Roadmap turns a product's inactive projects and pending tasks into a single prioritized plan. Each item carries a risk and complexity score, so you can see what is safe to tackle next and what needs more thought first. Drag to reorder. Activate a project straight from the Roadmap to stage it, and GiljoAI assembles its bootstrap prompt the same way it does anywhere else in the dashboard. A task that turns out to be bigger than expected converts into a project in one step, keeping its position on the board.
Projects and Missions
- Create a project and describe what needs to be done.
- Activate the project. GiljoAI assembles a bootstrap prompt from your product context, 360 Memory, and project description.
- Paste the prompt into your CLI tool. The orchestrator plans the mission and spawns agents.
- Agents report status back in real time. You monitor progress on the Jobs page.
- When the project completes, GiljoAI writes a 360 Memory entry. The next project inherits that accumulated context.
Skills and Agent Templates
One skill is installed on your machine during setup. Use it from your CLI without breaking flow:
Agent templates need no installation at all. The Agent Template Manager in the dashboard lets you customize agent profiles with roles, expertise, and chain strategies, and every agent your orchestrator starts is handed its own profile — role, instructions, rules, success criteria — by the server the moment it begins work. An edit applies to the very next agent you launch. To run an agent yourself instead, choose Download profile (.md) from its row menu and drop the Markdown into any tool.
360 Memory
Each completed project writes to 360 Memory automatically: what was built, key decisions, patterns discovered, and what worked. This is not a plugin; it is a core product behavior. Your next project starts with accumulated context from previous ones. You control how many memories back agents read through the context settings. Optionally enrich memory with git commit history. Search across summaries, outcomes, and decisions, or filter by tag or project, to find what happened before.
Dashboard and Monitoring
The Jobs page shows real-time agent activity: status, step progress, duration, and messages waiting. A message composer lets you talk directly to the orchestrator or broadcast to the entire agent team. All messages are logged in the MCP message system for auditability.
Message Hub
The Message Hub is where agents coordinate across sessions and machines: persistent threads with participants, messages, and a baton that tracks whose turn it is. An agent on a different CLI tool or a different machine can join the same thread and pick up right where another left off. The dashboard view of a thread is an audit record for you to read. Nothing shown there is fetched back into an agent's context automatically.
Edition
This is the Giljo HQ Community Edition, free for single-user use under the Elastic License 2.0.
Tech Stack
Architecture
Database always runs on localhost. Auth is required for all connections. Multi-tenant isolation is enforced at the database level on every query.
Installation Options
Documentation
API docs are served at runtime: Swagger UI at /docs, ReDoc at /redoc.
Security
- JWT authentication required for all connections (no IP-based bypass)
- bcrypt password hashing (cost factor 12), minimum 12 characters
- 4-digit recovery PIN for self-service password reset (no email needed)
- Database always on localhost, never exposed to the network
- Plain HTTP by default; opt-in HTTPS (bring-your-own certificate) in Settings → Network
- Multi-tenant isolation on every database query
- Rate limiting on authentication endpoints
Support
- Issues: github.com/giljoai/giljo-hq/issues
- Website: giljo.ai
- License: Elastic License 2.0
- Contributing: See CONTRIBUTING.md
Giljo HQ is built by GiljoAI.
來源:README.md,提交 171f7d6
工具
0版本歷史
9- v2.13.0最新Nov 3, 2026
- v2.12.0Oct 31, 2026
- v2.11.0Oct 29, 2026
- v2.10.0Oct 22, 2026
- v2.9.1Oct 22, 2026
- v2.9.0Oct 20, 2026
- v2.8.0Oct 15, 2026
- v2.7.0Oct 13, 2026
- v2.0.4Sep 16, 2026
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