# Stakpak

2026-11-11에 검증된 OpenAITools.app 텔레메트리에 따르면, Stakpak(stakpak.dev)은(는) AI Agent에 색인된 AI 플랫폼으로 월 633회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -545(-46.3%)입니다. 주요 지리적 시장은 이집트(트래픽 점유율 100%)이며, 무료+유료 가격 모델로 운영됩니다. 월간 트래픽 기준 주요 경쟁 대안으로는 OpenShip (월 2.38만회 방문), Atomic Bot (월 4.77만회 방문), Browser Use (월 120.64만회 방문) 등이 있습니다.

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.

## 주요 텔레메트리 및 사양

| 지표 | 값 |
| :--- | :--- |
| 도구 이름 | Stakpak |
| 핸들 | stakpak-dev |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| 공식 도메인 | stakpak.dev |
| 웹사이트 URL | https://stakpak.dev |
| 카테고리 | AI Agent, AI 개발자 도구, 오픈소스 AI 모델, AI 코파일럿 |
| 가격 모델 | 무료+유료 |
| 월간 방문 수 | 633 |
| 전월 대비 트래픽 변화 | -545 |
| 전월 대비 성장률 | -46.3% |
| 주요 시장 | 이집트 |
| 시장 점유율 | 100% |
| 직접 방문 | 253 |
| 자연 검색 방문 | 0 |
| 소셜 방문 | 0 |
| 추천 방문 | 67 |
| 이메일 방문 | 12 |
| 리뷰 점수 | 4.6 |
| 저장 수 | 0 |
| 지원 플랫폼 | 웹사이트 |
| 결제 플랫폼 |  |
| 속성 | 가격: 무료+유료; 기능: 웹사이트 |
| 태그 | DevOps, AI 에이전트, 오픈소스, Rust, 코드형 인프라(IaC), 클라우드 관리, 보안, 인시던트 관리, 비용 최적화, IAM 보안, 컨테이너화, 터미널 도구, CI/CD, 자동화, AI, 클라우드 비용, IAM, Docker, Kubernetes, Terraform, 프로덕션 인프라 |

## 개요

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.

## 가격 및 요금제

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.

## 주요 기능 및 역량

- **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.

## 주요 활용 사례

- **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.

## 강점

- 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

## 한계

- 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

## 자주 묻는 질문

### 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.

### Stakpak의 월간 트래픽과 성장 추세는 어떠한가요?
Stakpak은(는) 현재 월 633회 방문을 기록 중이며, 전월 대비 트래픽 변화량은 -545(성장률 -46.3%)입니다. 주요 유입 시장은 이집트(점유율 100%)이며, 여기에는 월 직접 방문 253회와 월 자연 검색 방문 0회가 포함됩니다.

### Stakpak은(는) 무료인가요? 가격 모델은 무엇인가요?
Stakpak은(는) 무료+유료 가격 모델로 운영됩니다. 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. 지원되는 결제 및 체크아웃 플랫폼에는 등록되지 않음 등이 있습니다.

### 2026년 최고의 Stakpak 대안은 무엇인가요?
OpenAITools.app의 카테고리 트래픽과 기능 적합도를 기준으로 할 때 Stakpak의 상위 5개 대안은 다음과 같습니다: 1. OpenShip (월 2.38만회 방문); 2. Atomic Bot (월 4.77만회 방문); 3. Browser Use (월 120.64만회 방문); 4. Zeabur (월 27.56만회 방문); 5. Rivet.dev (월 2.14만회 방문).

### Stakpak은(는) 어떤 플랫폼과 핵심 AI 역량을 지원하나요?
Stakpak은(는) AI Agent, AI 개발자 도구, 오픈소스 AI 모델, AI 코파일럿으로 분류되며 다음 플랫폼을 지원합니다: 웹사이트. 핵심 역량 태그에는 DevOps, AI 에이전트, 오픈소스, Rust, 코드형 인프라(IaC), 클라우드 관리 등이 있습니다.

## 대안

| 도구 이름 | 월간 방문 수 | 가격 모델 | 비교 |
| :--- | :--- | :--- | :--- |
| [OpenShip](https://openaitools.app/ko/tool/openship) | 23,815 | 무료+유료, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/openship-vs-stakpak-dev) |
| [Atomic Bot](https://openaitools.app/ko/tool/atomic-bot) | 47,693 | 무료+유료, 무료 | [비교](https://openaitools.app/ko/compare/atomic-bot-vs-stakpak-dev) |
| [Browser Use](https://openaitools.app/ko/tool/browser-use) | 1,206,376 | 무료+유료, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/browser-use-vs-stakpak-dev) |
| [Zeabur](https://openaitools.app/ko/tool/zeabur) | 275,642 | 무료 체험, 유료 | [비교](https://openaitools.app/ko/compare/stakpak-dev-vs-zeabur) |
| [Rivet.dev](https://openaitools.app/ko/tool/rivet-dev) | 21,359 | 무료+유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/rivet-dev-vs-stakpak-dev) |
| [exe.dev](https://openaitools.app/ko/tool/exe-dev) | 60,103 | 무료+유료, 유료 | [비교](https://openaitools.app/ko/compare/exe-dev-vs-stakpak-dev) |
| [Coder](https://openaitools.app/ko/tool/coder) | 149,417 | 무료 체험, 가격 문의, 무료 | [비교](https://openaitools.app/ko/compare/coder-vs-stakpak-dev) |
| [FlexAI](https://openaitools.app/ko/tool/flexai) | 44,314 | 무료+유료, 유료, 가격 문의 | [비교](https://openaitools.app/ko/compare/flexai-vs-stakpak-dev) |
| [Modelence](https://openaitools.app/ko/tool/modelence) | 31,915 | 무료+유료, 유료 | [비교](https://openaitools.app/ko/compare/modelence-vs-stakpak-dev) |
| [InsForge](https://openaitools.app/ko/tool/insforge) | 60,257 | 무료+유료, 가격 문의, 무료 | [비교](https://openaitools.app/ko/compare/insforge-vs-stakpak-dev) |
| [Openclaw](https://openaitools.app/ko/tool/openclaw-1) | 9,696 | 무료 | [비교](https://openaitools.app/ko/compare/openclaw-1-vs-stakpak-dev) |
| [MyClaw](https://openaitools.app/ko/tool/myclaw) | 990,387 | 유료 | [비교](https://openaitools.app/ko/compare/myclaw-vs-stakpak-dev) |

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출처: https://openaitools.app/ko/tool/stakpak-dev