Gnt

io.github.gnt-ai由 GitHub 帳號 gnt-ai 發布v0.6.0更新於 Nov 2, 2026

Git-native policy layer for AI agents: check_action verdicts against rules approved via PR.

已驗證Streamable HTTP可網頁執行知識與記憶開發者工具安全與監控

概覽

AI 產生的概覽

Git 原生的政策層:讓助理在執行動作前,對照團隊經 PR 核准的規則檢查,取得允許、阻擋或需人工處理的裁決。

可以做什麼
  • 對照已核准規則檢查所描述的動作,回傳 allowed、blocked 或 needs_human 裁決,並附上引用規則與一行理由
  • 以語意搜尋已核准規則,可依標籤篩選
  • 依 id 取得單一已核准規則及其來源資訊(核准者、時間、引用來源)
  • 列出組織已編譯的技能包版本,並取得某個技能包的清單與檔案列表
適用情境
當代理要執行退款、刪除、傳訊息給客戶等有後果的動作,且希望每次都由團隊透過合併 PR 核准的規則把關並留下可追溯紀錄時使用。
執行需求
遠端 MCP 端點 api.gntai.dev。搭配的 CLI 需 Node 22.13 以上版本,需透過 gnt login 登入並在本機儲存 API 金鑰,並連接一個 GitHub 儲存庫放置規則。可選變數 GNT_API_URL、GNT_WEB_URL、GNT_CONFIG_DIR 可變更端點與設定目錄。
安裝前請注意
規則同時存放在所連接的 GitHub 儲存庫與 gnt 自己的資料庫,MCP 工具讀取的是該儲存區,而非每次複製儲存庫。預設規則擷取會把來源文字送到 Anthropic 的 API,擷取出的規則文字會送到 gnt 的 API 以建立 PR。CLI 會把 API 金鑰存在 credentials.json。裁決預設失敗即關閉為 needs_human,未被規則涵蓋的動作不會自動放行。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Gnt,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。

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/io.github.gnt-ai%2Fgnt/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。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "gnt": {
      "type": "http",
      "url": "https://api.gntai.dev/mcp"
    }
  }
}

README

Run the setup below once and every agent your team runs has a git-native rulebook it has to check over MCP before it acts, approved the same way your code already is: a merged pull request.

  • Rules live in your repo as files and ship through normal PRs, not a dashboard click.
  • Agents call check_action over MCP before anything risky (a refund, a delete, a message to a customer) and get back an allow/block/escalate verdict.
  • Every rule traces back to the git file and the PR that approved it, so "why did the agent do that" always has a paper trail.

Prefer not to run any of this yourself? The hosted version at gntai.dev does the same thing without you standing up a Postgres instance.

Get started (30 seconds)

bash
npm install -g @gnt-ai/clignt logingnt connect githubgnt prebrain# merge the opened PR on GitHub. that merge is the approval

Try it with Docker first

To see a real check_action response before installing Node or npm, clone the repository and run the Docker-only demo:

bash
./demo.sh

It builds the full local stack in an isolated gnt-demo Compose project, seeds an approved refund rule, calls check_action, and prints a curl command you can run again. Without an Anthropic key the real fail-closed path returns needs_human; pass GNT_DEMO_ANTHROPIC_API_KEY=sk-ant-... ./demo.sh to opt in to the model's grounded policy verdict. The demo uses deterministic local embeddings and throwaway localhost-only secrets, so it does not need a ZeroEntropy key.

[gnt connect's interactive picker, and what gnt prebrain's draft-PR output looks like]

Nothing for gnt prebrain to scan yet? Run gnt init first — it scaffolds rules/ locally with a couple of example rule files so there's something real to look at and edit, and points you at gnt prebrain --starter-packs for a curated pack to start from instead.

That merge lands a rule file in your connected repo, shaped like this:

your-repo/└── rules/    ├── refund-approval-threshold.md    └── contract-legal-cc.md

Each file is plain markdown with YAML frontmatter:

markdown
---title: Never refund over $500 without a managerstatus: approvedconfidence: 0.91owner_id: finance-teamsource_citations: [...]source: slacktags: [refunds, finance]last_validated_at: 2026-07-20version: 1superseded_by: nullapproved_by: [email protected]approved_at: 2026-07-21T14:03:00Zcreated_at: 2026-07-18T09:12:00Zpr_number: 142pr_url: https://github.com/your-org/your-repo/pull/142---
Refunds over $500 need manager sign-off before they go out...

See it in action

There's no captured transcript to show yet (see the gap noted at the bottom of this README). Here's the actual response shape a check_action call returns, straight from the tool's contract:

json
{  "verdict": "blocked",  "reason": "Refund exceeds the $500 threshold without manager sign-off (rules/refund-approval-threshold.md)",  "cited_rules": [    { "id": "refund-approval-threshold", "title": "Never refund over $500 without a manager" }  ],  "rules_retrieved": 3}

verdict is one of allowed, blocked, or needs_human. needs_human is the fail-closed default: no approved rule covers the action, retrieval failed, or the check couldn't complete. It never guesses.

What it does

One MCP endpoint, five tools:

ToolWhat it does
check_actionChecks a described action against your approved rules before an agent takes it. Returns allowed, blocked, or needs_human with cited rules and a one-line reason.
search_rulesSemantic search over your org's approved rules, optionally filtered by tag. An empty list means no approved rule covers the query.
get_ruleFetches one approved rule by id, with its provenance (who approved it, when, what it was cited from).
list_skill_packsLists every compiled skill pack version for your org, newest first.
get_skill_packFetches a compiled skill pack's manifest and file list by id.

Prerequisites

RequirementCheckGet it
Node >=22.13node --versionnodejs.org

Install

MethodCommand
curlcurl -fsSL gntai.dev/install.sh | sh
npmnpm install -g @gnt-ai/cli

gnt needs Node >=22.13. If the CLI fails to start with a version error, update Node first and confirm with node --version.

Common commands

bash
gnt login                # sign in, store an API key locallygnt init                 # scaffold a local rules/ dir with example rule filesgnt connect github       # connect the repo your rules PRs open againstgnt prebrain             # scan sources, extract candidate rules, open PRsgnt review               # review rules awaiting approvalgnt status               # show brain statusgnt pull                 # download the latest skill packgnt gaps                 # list uncovered queries with no approved rule

Config

VariableDefaultWhat it controls
GNT_API_URLhttps://api.gntai.devAPI endpoint the CLI and MCP calls hit
GNT_WEB_URLhttps://gntai.devWeb app used for gnt login's browser step
GNT_CONFIG_DIR~/.gntWhere credentials.json and local config live

Privacy

  • No analytics or telemetry dependency in the CLI or the web app.
  • gnt prebrain's default extraction mode is cloud, not on-device: your source text goes straight to Anthropic's API (or Vercel AI Gateway with zero-data-retention, if you configure it), never to gnt's own servers. Fully on-device extraction needs --mode local against a local Ollama daemon.
  • The extracted rule candidates still get sent to gnt's API to open the PR. Raw source text stays off gnt's servers in cloud mode; the resulting rule text doesn't.
  • Rules live in your connected GitHub repo and in gnt's own database. The MCP tools read from gnt's store, not by cloning your repo on every call.
  • Self-hosting: apps/api only sends error data to Sentry if you set SENTRY_DSN yourself. Leave it unset and nothing goes out.

Team setup

  • Who writes rules: anyone with access to your connected repo, either through gnt prebrain (batch-extracted from real sources) or gnt review (hand-proposed).
  • How approval works: merging the PR is the approval. There's no separate publish step.
  • What gets committed: rules/<rule-id>.md files with the frontmatter shown above and a plain markdown body.
  • Catching a malformed rule before it's reviewed: gnt rules lint checks a rule file's frontmatter locally, and gnt-ai/gnt/.github/actions/lint-rules runs the same check as a CI step on your rules repo's own PRs, so a bad frontmatter fails the PR instead of the review.

Troubleshooting

Self-hosting: gnt login's browser step has nowhere to land. gnt login opens a browser to a /cli-login page and polls the API for the resulting key — that page is served by the hosted product's web app, which isn't part of this repo. There's no CLI-only login flow (device code or otherwise) today, and no gnt command to set a key manually. Self-hosting this stack currently means building your own thin frontend for that one route (it just needs to complete the sign-in flow and hand the CLI a key). This is a real, open gap in the self-host path, not a config issue — closing it properly means adding a CLI-only login flow.

ValueError: refusing to start: these settings still have their .env.example placeholder value... A change-me-... string is still sitting in apps/api/.env. The error names every offending field; generate a real value for each and retry.

store fails to start with GNT_STORE_INTERNAL_API_SECRET is not set. apps/store/.env wasn't filled in, or wasn't picked up. Confirm the file exists at that exact path, not still named .env.example.

Every store-to-api call gets rejected with 401 or 403, even though both services are up. STORE_INTERNAL_API_SECRET / APPROVAL_SIGNING_SECRET in apps/api/.env don't byte-for-byte match GNT_STORE_INTERNAL_API_SECRET / GNT_APPROVAL_SIGNING_SECRET in apps/store/.env. This fails closed by design. Regenerate both pairs so the two files agree.

A rule fails to save with an embedding or rerank error. apps/store/.env is missing ZEROENTROPY_API_KEY, or it's still empty. Get a real one from zeroentropy.dev.

Full command reference

gnt logingnt logoutgnt init                 scaffold a local rules/ dir with example rule files (--dir <path>)gnt connect <app>        github, slack, notion-mcp, monday-mcp, linear-mcp, jira-mcp,                          sentry-mcp, granola-mcp, zoom-mcp, figma, datadog,                          gitlab-threads, hubspot, airtable, openclaw, hermesgnt disconnect <app>gnt statusgnt billinggnt reviewgnt pullgnt gapsgnt prebrain              scan local sources, extract candidate rules, open batched draft                           PRs (~60 flags for source paths and extraction mode, see                           `gnt prebrain --help`; --mode cloud|local, cloud is the default)gnt stalegnt keys list|create|revoke|rotategnt webhook list|create|revokegnt org show|rename|invite|remove

Shell completion

bash
# bash, add to ~/.bashrceval "$(gnt completion bash)"
# zsh, add to ~/.zshrceval "$(gnt completion zsh)"
# fish, add to ~/.config/fish/config.fishgnt completion fish | source

Learn more

Self-hosting is a first-class, fully supported path — Apache-2.0 from day one, run it on your own infra with your own keys, or use the hosted version at gntai.dev. The homepage FAQ and the self-hosting docs both describe this same path; there is no "not today" caveat.

License

Copyright © 2026 gnt.ai. Licensed under Apache-2.0 — see LICENSE for the terms and NOTICE for the trademark rule on forks.

Why is this free?

Self-hosting gnt costs you nothing, forever — clone it, run docker compose up, bring your own keys. What we sell is the part self-hosting doesn't give you: hosting at gntai.dev, managed OAuth connectors (GitHub, Slack, Linear, Notion, Zendesk — no app-approval process on your end), and usage-based AI features. If you'd rather run it yourself, that's a fully supported, fully free path, not a crippled trial of the real thing.

Contributing

See CONTRIBUTING.md for dev setup and how to open a PR. Every commit needs a Signed-off-by trailer (git commit -s), the Developer Certificate of Origin instead of a CLA. No separate form, just the flag.

Thanks to everyone who's sent a PR:

[gnt contributors]

來源:README.md,提交 59a743d

工具

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版本歷史

1
  1. v0.6.0最新Sep 16, 2026

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