# Stakpak

OpenAITools.app のテレメトリ（2026-11-11 検証）によると、Stakpak（stakpak.dev）は AI Agent に分類される AI プラットフォームで、月間 633 の訪問を生み出し、前月比のトラフィック増減は -545（-46.3%）です。主要な地域市場はエジプト（トラフィックシェア 100%）で、フリーミアムの料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには OpenShip（月間 2.38万訪問）、Atomic Bot（月間 4.77万訪問）、Browser Use（月間 120.64万訪問）が含まれます。

Stakpak is an open-source AI DevOps agent that installs as a single binary on your own machines and runs 24/7 — monitoring health, healing incidents, chasing cloud waste and reporting back to Slack only when it needs a human.

## 主なテレメトリと仕様

| 指標 | 値 |
| :--- | :--- |
| ツール名 | Stakpak |
| ハンドル | stakpak-dev |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| 公式ドメイン | stakpak.dev |
| ウェブサイト URL | https://stakpak.dev |
| カテゴリ | AI Agent, AI開発者ツール, オープンソース AI モデル, AI Copilot |
| 料金モデル | フリーミアム |
| 月間訪問数 | 633 |
| 前月比トラフィック変動 | -545 |
| 前月比成長率 | -46.3% |
| 主要市場 | エジプト |
| 市場シェア | 100% |
| ダイレクト訪問 | 253 |
| オーガニック検索訪問 | 0 |
| ソーシャル訪問 | 0 |
| リファラル訪問 | 67 |
| メール訪問 | 12 |
| レビュースコア | 4.6 |
| 保存数 | 0 |
| 対応プラットフォーム | ウェブサイト |
| 請求プラットフォーム |  |
| 属性 | 料金: フリーミアム; 機能: ウェブサイト |
| タグ | DevOps, AIエージェント, オープンソース, Rust, Infrastructure as Code（IaC）, クラウド管理, セキュリティ, インシデント管理, コスト最適化, IAMセキュリティ, コンテナ化, ターミナルツール, CI/CD, 自動化, AI, クラウドコスト, IAM, Docker, Kubernetes, Terraform, 本番インフラストラクチャ |

## 概要

Stakpak is an open-source AI DevOps agent that installs as a single binary on your own machines and runs 24/7 — monitoring health, healing incidents, chasing cloud waste and reporting back to Slack only when it needs a human.

## 料金とプラン

Open Source is free forever (Apache 2.0, bring your own keys). Hacker is $15/mo for 3 apps, Builder $45/mo for 10 apps, Team $450/mo for 50 apps with unlimited users, and Enterprise is custom. Extra apps cost $5/app/month and each paid tier bundles LLM Gateway credits.

## 主な機能と特長

- **24/7 auto-healing:** When a health check fails, the agent investigates — checking metrics, finding idle database connections, restarting the service, verifying the rollout — then posts a summary of what it did and how long it took.
- **Cloud cost watchdog:** Scheduled scans surface idle RDS instances and orphaned EBS volumes, quantify the waste in a report and can recover meaningful monthly spend before finance notices.
- **Expiry and drift defence:** Upcoming TLS expiries, stale secrets, deprecated APIs and end-of-life runtimes are caught and renewed ahead of time, with zero-downtime rollouts.
- **Single binary, runs on your machine:** A single Rust binary installs as a system service and persists across reboots, combining scheduling, messaging and a local API. It works with Claude, GPT, Gemini and Mistral, or your own model running locally.
- **Warden sandbox and audit logs:** Network requests go through a Cedar-policy sandbox, 210+ secret types are swapped for placeholders before reaching a model, and every command, edit and change is fully logged and replayable.
- **Slack, Telegram and Discord triggers:** Outcomes are reported to Slack, Telegram or Discord per agent, and only escalated to a human when the agent genuinely needs a decision.

## 主なユースケース

- **Automate 3am incident response (On-call engineer):** Let the agent diagnose and remediate failed health checks overnight, restarting services and posting a plain-English summary before the on-call engineer wakes up.
- **Recover cloud spend (Platform engineer):** Run scheduled scans across your cloud accounts, get a quantified waste report, and act on idle instances and orphaned volumes before the next finance review.
- **Stop expiry-driven outages (SRE):** Track certificate expiries, stale secrets, deprecated APIs and end-of-life runtimes, and have them renewed or flagged ahead of the deadline.
- **Keep a small team informed (Engineering lead):** Give each managed application an agent that reports to a channel, so deployments, restarts and health summaries land where the team already talks.
- **Run side projects without ops work (Freelance developer):** Spread infrastructure maintenance across a fleet of projects without hiring round-the-clock operations cover.

## 強み

- Genuinely open source (Apache 2.0) and runs entirely inside your own environment
- Real production risk controls: Cedar network sandbox, secret substitution and replayable audit logs
- One binary, no Kubernetes or control-plane sprawl to operate
- Model-agnostic with a unified gateway or your own keys and local models
- Practical automation targets — incident response, cloud waste and expiring certificates

## 制約・デメリット

- Autopilot adds a long-running agent process with real production access, so misconfigured triggers carry real risk
- Per-app subscription maths only makes sense once you manage several applications
- Setup requires comfort with a terminal, system services and IaC concepts
- The team is joining Vercel, so road-map and licensing direction may shift
- Managed features like the LLM Gateway push you toward a metered credit model

## よくある質問

### What exactly does Stakpak run on my server?
It is a long-running agent process that you install on a machine you control. You point it at an app with stakpak init, it generates an APPS.md manifest of your stack, and from then on the agent watches and maintains that app in the background.

### Is it another coding agent?
No. Stakpak is a digital operations agent, not a coding agent. It deploys, monitors, heals and reports on running infrastructure; it is not there to write your application code.

### How do you stop it breaking production?
Every outbound request from the agent — curl, Python, MCP servers — passes through a transparent proxy governed by Cedar policies, so even a mistaken permission cannot let it reach something it should not. It also detects and substitutes 210+ secret types before any model provider sees them.

### Is Stakpak free?
The core agent is free and open source under Apache 2.0, running entirely on your machines and working with your own model keys. Paid plans (Hacker, Builder, Team) add managed apps, shared credits and centralised billing; Enterprise adds self-hosting support and custom guardrail policies.

### Which LLMs does it support?
It is model-agnostic. You can use the unified LLM Gateway to bill Claude, GPT, Gemini, Mistral and others through one wallet, or bring your own API keys and run models locally.

### Stakpak の月間トラフィックと成長トレンドはどうですか？
Stakpak は現在、月間 633 の訪問があり、前月比のトラフィック変動は -545（成長率 -46.3%）です。主要な流入市場はエジプト（シェア 100%）で、月間 253 のダイレクト訪問と月間 0 のオーガニック検索訪問を含みます。

### Stakpak は無料ですか？料金モデルは何ですか？
Stakpak はフリーミアムの料金モデルで運営されています。Open Source is free forever (Apache 2.0, bring your own keys). Hacker is $15/mo for 3 apps, Builder $45/mo for 10 apps, Team $450/mo for 50 apps with unlimited users, and Enterprise is custom. Extra apps cost $5/app/month and each paid tier bundles LLM Gateway credits. 対応する請求・チェックアウトプラットフォームには未掲載が含まれます。

### 2026年における Stakpak の最適な代替ツールはどれですか？
OpenAITools.app のカテゴリ別トラフィックと機能の適合性に基づくと、Stakpak の代替ツールトップ5は次のとおりです: 1. OpenShip（月間 2.38万訪問）; 2. Atomic Bot（月間 4.77万訪問）; 3. Browser Use（月間 120.64万訪問）; 4. Zeabur（月間 27.56万訪問）; 5. Rivet.dev（月間 2.14万訪問）。

### Stakpak はどのプラットフォームと主要な AI 機能に対応していますか？
Stakpak は AI Agent, AI開発者ツール, オープンソース AI モデル, AI Copilot に分類され、以下のプラットフォームに対応しています: ウェブサイト。中核機能のタグには DevOps, AIエージェント, オープンソース, Rust, Infrastructure as Code（IaC）、クラウド管理が含まれます。

## 代替ツール

| ツール名 | 月間訪問数 | 料金モデル | 比較 |
| :--- | :--- | :--- | :--- |
| [OpenShip](https://openaitools.app/ja/tool/openship) | 23,815 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/openship-vs-stakpak-dev) |
| [Atomic Bot](https://openaitools.app/ja/tool/atomic-bot) | 47,693 | フリーミアム、無料 | [比較](https://openaitools.app/ja/compare/atomic-bot-vs-stakpak-dev) |
| [Browser Use](https://openaitools.app/ja/tool/browser-use) | 1,206,376 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/browser-use-vs-stakpak-dev) |
| [Zeabur](https://openaitools.app/ja/tool/zeabur) | 275,642 | 無料トライアル、有料 | [比較](https://openaitools.app/ja/compare/stakpak-dev-vs-zeabur) |
| [Rivet.dev](https://openaitools.app/ja/tool/rivet-dev) | 21,359 | フリーミアム、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/rivet-dev-vs-stakpak-dev) |
| [exe.dev](https://openaitools.app/ja/tool/exe-dev) | 60,103 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/exe-dev-vs-stakpak-dev) |
| [Coder](https://openaitools.app/ja/tool/coder) | 149,417 | 無料トライアル、料金は要問い合わせ、無料 | [比較](https://openaitools.app/ja/compare/coder-vs-stakpak-dev) |
| [FlexAI](https://openaitools.app/ja/tool/flexai) | 44,314 | フリーミアム、有料、料金は要問い合わせ | [比較](https://openaitools.app/ja/compare/flexai-vs-stakpak-dev) |
| [Modelence](https://openaitools.app/ja/tool/modelence) | 31,915 | フリーミアム、有料 | [比較](https://openaitools.app/ja/compare/modelence-vs-stakpak-dev) |
| [InsForge](https://openaitools.app/ja/tool/insforge) | 60,257 | フリーミアム、料金は要問い合わせ、無料 | [比較](https://openaitools.app/ja/compare/insforge-vs-stakpak-dev) |
| [Openclaw](https://openaitools.app/ja/tool/openclaw-1) | 9,696 | 無料 | [比較](https://openaitools.app/ja/compare/openclaw-1-vs-stakpak-dev) |
| [MyClaw](https://openaitools.app/ja/tool/myclaw) | 990,387 | 有料 | [比較](https://openaitools.app/ja/compare/myclaw-vs-stakpak-dev) |

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出典: https://openaitools.app/ja/tool/stakpak-dev