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.

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.

What is Stakpak's monthly traffic and growth trend?

Stakpak currently receives 633 monthly visits, with a month-over-month traffic change of -545 (-46.3% growth rate). Its primary source market is Egypt (100% share), including 253 direct visits/mo and 0 organic search visits/mo.

Is Stakpak free? What is its pricing model?

Stakpak operates on a Freemium pricing model. 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. Supported billing and checkout platforms include: not listed.

Stakpak — AI Tool Traffic (633/mo), Pricing, API & Alternatives

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About Stakpak

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.

Stakpak is an open-source AI agent for running production infrastructure. Rather than a chatbot that suggests commands, it is a long-running process that lives on your own machines, watches your applications, and acts when something goes wrong. You install it as a single Rust binary, run stakpak init to let it discover your stack and generate an APPS.md manifest, then stakpak up and it runs in the background — scheduling checks, taking action and messaging you only when a human decision is genuinely required.

The scenarios it targets are the ones that ruin sleep: a health check fails at 3am, the agent finds 312 idle database connections, restarts the service, confirms latency dropped from 340ms to 12ms and posts a summary to Slack. Over longer horizons it runs a cost watchdog that spots idle RDS instances and orphaned EBS volumes and recovers real monthly spend, and it defuses time bombs like expiring TLS certificates, stale secrets and end-of-life runtimes.

The trust model is the differentiator. A coding agent that gets a command wrong produces a bad commit; an agent with production access that gets it wrong causes downtime or a five-figure bill. So Stakpak routes every network request — curl, Python, or MCP servers — through a Cedar-policy transparent proxy called Warden, detects and substitutes over 210 types of secrets before anything reaches a model provider, and keeps a full session audit log that lets you replay or roll back any change. It is Apache 2.0 licensed and written in Rust, and it is model-agnostic: use the unified LLM Gateway for one-wallet billing across Claude, GPT, Gemini and Mistral, or bring your own keys and run models locally.

High-Impact Use Cases for Stakpak

On-call engineer

Automate 3am incident response

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.

Platform engineer

Recover cloud spend

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.

SRE

Stop expiry-driven outages

Track certificate expiries, stale secrets, deprecated APIs and end-of-life runtimes, and have them renewed or flagged ahead of the deadline.

Engineering lead

Keep a small team informed

Give each managed application an agent that reports to a channel, so deployments, restarts and health summaries land where the team already talks.

Freelance developer

Run side projects without ops work

Spread infrastructure maintenance across a fleet of projects without hiring round-the-clock operations cover.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Stakpak	633	-46.3%	40% direct	Freemium	Current
1	OpenShip	23.82K	+26.8%	48% direct	Freemium, Paid, Contact for Pricing	vs OpenShip
2	Atomic Bot	47.69K	-7.8%	40% direct	Freemium, Free	vs Atomic Bot
3	Browser Use	1.21M	+41.1%	52% direct	Freemium, Paid, Contact for Pricing	vs Browser Use
4	Zeabur	275.64K	-15.9%	56% direct	Free Trial, Paid	vs Zeabur
5	Rivet.dev	21.36K	-44.3%	50% direct	Freemium, Contact for Pricing	vs Rivet.dev
6	exe.dev	60.1K	-26.4%	68% direct	Freemium, Paid	vs exe.dev

Stakpak

Why Choose Stakpak

Watchouts & Trade-offs

Multi-Angle Perspectives

Traffic Acquisition Breakdown