
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.

에디터가 매긴 5점 만점 평가이며, 사용자 평점의 평균이 아닙니다. 이 페이지의 관점들은 제품 정보를 바탕으로 AI가 정리한 것이며, 실제 사용자 후기가 아닙니다.
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.
오픈소스 DevOps 에이전트 중 단연 최고입니다. 로컬 서버에서 24시간 돌아가니 든든합니다.
굿.
실제 사이트 점검, 요금 구조, 동일 카테고리 기준을 바탕으로 AI가 재구성한 참고 관점이며 개별 실사용자의 후기가 아닙니다.
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.
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.
Upcoming TLS expiries, stale secrets, deprecated APIs and end-of-life runtimes are caught and renewed ahead of time, with zero-downtime rollouts.
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.
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.
Outcomes are reported to Slack, Telegram or Discord per agent, and only escalated to a human when the agent genuinely needs a decision.
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.
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.
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.
Track certificate expiries, stale secrets, deprecated APIs and end-of-life runtimes, and have them renewed or flagged ahead of the deadline.
Give each managed application an agent that reports to a channel, so deployments, restarts and health summaries land where the team already talks.
Spread infrastructure maintenance across a fleet of projects without hiring round-the-clock operations cover.
동일한 주요 카테고리에 속한 경쟁 AI 도구의 나란히 보는 텔레메트리 비교
| 순위 | AI 도구 | 월간 방문 수 | 전월 대비 성장률 | 직접 유입 비중 | 가격 | 일대일 비교 |
|---|---|---|---|---|---|---|
| ● | Stakpak | 633 | -46.3% | 직접 유입 40% | 무료+유료 | 현재 도구 |
| 1 | OpenShip | 2.38만 | +26.8% | 직접 유입 48% | 무료+유료, 유료, 가격 문의 | vs OpenShip |
| 2 | Atomic Bot | 4.77만 | -7.8% | 직접 유입 40% | 무료+유료, 무료 | vs Atomic Bot |
| 3 | Browser Use | 120.64만 | +41.1% | 직접 유입 52% | 무료+유료, 유료, 가격 문의 | vs Browser Use |
| 4 | Zeabur | 27.56만 | -15.9% | 직접 유입 56% | 무료 체험, 유료 | vs Zeabur |
| 5 | Rivet.dev | 2.14만 | -44.3% | 직접 유입 50% | 무료+유료, 가격 문의 | vs Rivet.dev |
| 6 | exe.dev | 6.01만 | -26.4% | 직접 유입 68% | 무료+유료, 유료 | vs exe.dev |

특화 강점OpenClaw, Hermes, Codex 등 AI 에이전트를 클라우드에서 실행
특화 강점OpenClaw, Hermes, Codex 등 AI 에이전트를 클라우드에서 실행
무료 / 오픈소스실제 웹 작업을 수행하는 브라우저 에이전트와 스텔스 클라우드 브라우저

무료 / 오픈소스자체 인프라에서 내구성 있는 AI 에이전트를 실행하고 확장


코딩 에이전트가 백엔드 전체를 운영하도록 설계된 에이전트 네이티브 클라우드 인프라
무료 / 오픈소스Openclaw is an open-source framework for building AI automations that run on your own machine. Messages arrive from WhatsApp, Telegram, Discord, Slack, Signal, or iMessage through a unified router; a programmable workflow engine in TypeScript or YAML decides what happens next; and plugins extend it into 50+ services. It keeps persistent memory across sessions, can browse the web and fill forms, and can read and write files or run shell commands under sandboxing you control. Model choice is open — Anthropic, OpenAI, or fully local via Ollama — all released under the MIT licence.
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