Stakpak 3.0 CLI
Open-source autonomous DevOps agent that runs 24/7 on your own machines and only pings when it needs a human.
The interesting part of Stakpak isn't the autonomy claim — plenty of agents promise that. It's that the trust problem is answered with named, checkable mechanisms: Secret Substitution, Warden Guardrails, mTLS on MCP, Privacy Mode. Compare that to handing Claude or a generic agent shell access to prod and hoping your prompt holds. Apache-2.0, no seat bill, install is one curl. What you pay instead is operational attention: Docker for the current user, 2GB+ RAM, and TOML files you'll actually
Verified 4d ago · liveness 76/100 · cite: rightaichoice.com/tools/stakpak-3-0-cli
- DevOps and SRE teams that refuse to give an LLM raw production credentials
- Startups that want PaaS-style automation on infrastructure they already own
- Teams running self-hosted models, including Ollama, behind the agent
- Terminal-first developers comfortable editing TOML config
- Teams that need a graphical dashboard rather than CLI and TOML files
- Anyone without Docker available to the current user on the host
- Hosts with under 2GB RAM, where autopilot plus sandbox runs get unreliable
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Skip Stakpak 3.0 CLI if you want a managed dashboard, an SLA and a vendor on call — Autopilot runs on your machines, needs Docker available to your user and 2GB+ RAM, and its support is community discussions only.
Stakpak itself is Apache-2.0 and free, but Autopilot runs on your own host, so the compute, storage and egress bill lands on your cloud account rather than a vendor invoice.
There is one tier and it is $0: Apache-2.0, self-hosted, bring your own model provider including Ollama (per the project README and the seed pricing record). That makes it cheaper than per-seat hosted PaaS such as Railway or Render, and cheaper than managed AI-SRE products, but the saving is offset by your own compute and ops time. Teams that want a vendor dashboard or an SLA should budget for a managed platform instead.
In short
Stakpak 3.0 CLI — Open-source autonomous DevOps agent that runs 24/7 on your own machines and only pings when it needs a human. Best for DevOps and SRE teams that refuse to give an LLM raw production credentials, Startups that want PaaS-style automation on infrastructure they already own, Teams running self-hosted models, including Ollama, behind the agent. Free to use.
What's new in Stakpak 3.0 CLI
Checked 4 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Stakpak 3.0 CLI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
10 mentions across 1 source (Product Hunt) · researched Aug 2, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Fully open-source under Apache 2.0, no vendor lock-in.
- +Secret Substitution means the LLM never sees credentials — a big security win.
- +Warden guardrails use network-level policies to block destructive operations.
- +Runs 24/7 autonomously on your own VMs, ideal for background ops.
- +Built-in Rulebooks handle common DevOps tasks like K8s debugging.
- −Community feedback is sparse; reliability unproven in production.
- −CLI-only, no GUI — steep for those used to visual dashboards.
- −Setup requires self-hosting and Docker knowledge, not plug-and-play.
- −Lacks killer feature differentiated from Claude Code + MCP combos.
- −Support is community-driven; no official SLAs for self-hosted.
- • Self-hosting requires paying for your own VM, storage, and bandwidth
- • If using commercial LLMs (e.g., GPT), you'll incur API costs
- • Time cost for setup and maintenance, especially if integrating with Slack/Discord
Viability Score
How well maintained and how widely used is Stakpak 3.0 CLI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Autonomous 24/7 Autopilot runtime running in the background on your own machines
- Lifecycle aliases stakpak up and stakpak down for one-command start and stop
- stakpak init learns your apps and tech stack before first run
- Secret Substitution: agent reads, writes and compares credentials without seeing raw values
- Warden Guardrails block destructive operations via network-level policies before execution
- Privacy Mode redacts IP addresses and AWS account IDs from agent context
- Mutual TLS (mTLS) for end-to-end encrypted MCP connections
- DevOps Playbooks (Rulebooks) for infrastructure code, Kubernetes debugging and CI/CD
- Cron-based schedules with per-schedule prompts and separate behavior profiles
- Notification routing with channel plus target pairs, e.g. slack:#ops or a Telegram chat
- stakpak autopilot doctor as a deployment-readiness check before first boot
- Preflight checks that run automatically on stakpak up before autopilot startup
- Split config across ~/.stakpak/config.toml (profiles) and ~/.stakpak/autopilot.toml (runtime wiring)
- Secure password generation with configurable complexity
- Asynchronous task management for background commands like port forwarding and servers
About Stakpak 3.0 CLI
Stakpak 3.0 CLI is an Apache-2.0 licensed DevOps agent written in Rust. You install it with one curl against stakpak.dev, run `stakpak init` so it learns your apps and tech stack, then `stakpak autopilot up` (or the `stakpak up` lifecycle alias) to launch an agent that keeps working around the clock on your own servers, VMs, or Docker hosts. The stated pitch: all the upside of a PaaS, none of the lock-in. The design starts from a blunt premise — one bad LLM command and production is toast. Secret Substitution lets the model read, write, and compare credentials without ever seeing raw values. Warden Guardrails apply network-level policies that block destructive operations before they execute. MCP connections are hardened with mutual TLS, and Privacy Mode redacts IP addresses and AWS account IDs from agent context. Curated DevOps Playbooks in Stakpak Rulebooks cover infrastructure code generation, Kubernetes debugging, CI/CD configuration, and deployments. Day-to-day work is terminal work. Cron-style schedules run prompts under named behavior profiles — `schedule --profile monitoring`, `channel --profile ops` — kept deliberately separate from notification routes, which pair a channel (slack, telegram, discord) with a target like `#ops`. `~/.stakpak/config.toml` holds profiles (model, allowed_tools, auto_approve, system_prompt, max_turns, provider credentials); `~/.stakpak/autopilot.toml` holds runtime wiring (schedules, channels, notification routes, service settings). `stakpak up` runs preflight checks at startup and `stakpak autopilot doctor` verifies deployment readiness before first boot. It suits CLI-comfortable developers, SREs, and small platform teams already running their own infrastructure — including self-hosted models via Ollama. Versus hosted platforms like Railway or Render, Stakpak swaps the managed dashboard for self-hosting, credential isolation, and no per-seat bill.
Behind the Verdict
Pick Stakpak when your objection to agentic ops is security-shaped rather than capability-shaped. Secret Substitution and Warden Guardrails are the sort of thing you can point at during a review — the agent never holds raw credentials, and destructive network operations get blocked before execution rather than after. That framing is why we'd put it in front of an SRE team before a generic coding agent. The 24/7 runtime is the other half. Cron schedules with per-run behavior profiles mean a health check every five minutes and a deploy watcher every fifteen can run under different models, tool allowlists, and auto-approval rules, then route alerts into `slack:#ops` or a Telegram chat. Keeping schedule profiles and notification routes as separate concepts is a small design decision that saves real confusion — changing where alerts land shouldn't change which model ran them. Where it bites: this is self-hosted software, not a service. Docker must be installed and usable by the current user, 2GB+ RAM is the stated floor for reliable autopilot plus sandbox runs, small Linux hosts want swap, and user services may need linger to survive logout. None of that is exotic for a platform team; all of it is friction for a developer who just wants a hosted dashboard. Pass if you need a GUI, an SLA, or a vendor on call at 3am. The closest alternative isn't another agent — it's a managed platform like Railway or Render, which gives you a control plane and takes your lock-in in return. Stakpak's trade is the reverse: you keep the infrastructure and the responsibility. In practice, expect a real setup session. `stakpak init`, `stakpak autopilot doctor`, then `stakpak up` — the doctor step exists because first-boot failures are common enough to warrant a preflight. Budget an afternoon
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Real-world workflow fit
Concrete scenarios for the personas Stakpak 3.0 CLI actually fits — and what changes day-one when you adopt it.
Install with `curl -sSL https://stakpak.dev/install.sh | sh`, run `stakpak init` so the agent reads the stack, then `stakpak autopilot doctor` to confirm the host is ready before `stakpak autopilot up`.
Outcome: The app stays up without the developer babysitting it, and the agent posts to a Telegram chat only when something needs a decision.
Define a `monitoring` profile in ~/.stakpak/config.toml with allowed_tools and max_turns, add a cron schedule in ~/.stakpak/autopilot.toml, and route notifications with `notification --target "#ops"`.
Outcome: Health checks run on schedule and alerts land in the Slack channel the team already reads, instead of a separate dashboard nobody watches.
Use the baked-in DevOps Rulebooks to generate infrastructure code and configure CI/CD, then call the workflow from GitHub Actions without storing production secrets in CI.
Outcome: Deployments run from a pipeline while Secret Substitution keeps raw credentials out of both the model context and the CI secret store.
Use Cases
- Deploy a production app from your local terminal with one command via stakpak up.
- Run a 24/7 agent that monitors your services and alerts you only when human intervention is needed.
- Deploy securely from GitHub Actions without storing secrets in CI.
- Drive infrastructure with a self-hosted model via Ollama to avoid vendor lock-in.
- Generate infrastructure code or debug Kubernetes using curated DevOps Rulebooks.
- Set up cron-based scheduled maintenance or health checks that notify Slack or Telegram.
Limitations
- The agent is designed for developers comfortable with Rust toolchain and CLI workflows, and all interaction happens through terminal commands and config files.
- It requires you to manage the underlying infrastructure — Docker, VMs, user services — yourself.
- Because Autopilot runs on your machines, automation uptime is bounded by host availability: the README recommends Docker accessible to the current user, 2GB+ RAM for reliable autopilot plus sandbox runs, and swap on small Linux hosts, and notes Linux user services may need linger to survive logout.
- Guardrails only block what you configure them to block, so a thin Warden policy is a real risk.
- The project offers no official support channel beyond community discussions.
- The config split between ~/.stakpak/config.toml and ~/.stakpak/autopilot.toml, and the separation of schedule, channel and notification profiles, takes some reading before it clicks.
as of 2026-10-04
Verification history
We have re-verified Stakpak 3.0 CLI 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Stakpak 3.0 CLI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0
Ideal for
Developers, SREs and small platform teams who run their own Docker hosts or VMs and are willing to own the ops layer in exchange for no per-seat bill.
What this tier adds
The only published tier: $0, Apache-2.0, self-hosted, with Secret Substitution, Warden Guardrails, Privacy Mode, mTLS and bring-your-own-model including Ollama.
Where the pricing makes sense
The company stage and team size where Stakpak 3.0 CLI's pricing actually pencils out — and where peers do it cheaper.
There is one tier and it is $0: Apache-2.0, self-hosted, bring your own model provider including Ollama (per the project README and the seed pricing record). That makes it cheaper than per-seat hosted PaaS such as Railway or Render, and cheaper than managed AI-SRE products, but the saving is offset by your own compute and ops time. Teams that want a vendor dashboard or an SLA should budget for a managed platform instead.
Setup time & first value
How long it actually takes to get something useful out of Stakpak 3.0 CLI — broken out by persona, not the marketing-page minute.
Solo developer on an existing Docker host: install script plus `stakpak init` is roughly 10-15 minutes to first agent run. SRE adding cron schedules and Slack routing: budget an hour, mostly writing the `monitoring` profile and notification target. Platform team wiring GitHub Actions and custom Rulebooks: half a day. Anyone starting from a bare VM should add time for Docker, swap on small hosts
Switching to or from Stakpak 3.0 CLI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From hosted PaaS (Railway/Render): move the workload onto your own Docker host or VM, then let `stakpak init` map the stack before switching Autopilot on.
- →From cron scripts and hand-rolled health checks: convert each script into a schedule in ~/.stakpak/autopilot.toml with a named profile and a notification target.
- →From storing deploy credentials in CI secrets: run the deployment through Stakpak from GitHub Actions and let Secret Substitution supply the credentials.
- →From a cloud AI-SRE tool: point the agent at your own infrastructure and configure a self-hosted Ollama provider if you want to keep inference on-prem.
- ↗To a managed PaaS (Railway, Render): move workloads onto the hosted platform and rebuild cron health checks as platform jobs, losing credential isolation in the process.
- ↗To a hosted AI SRE product: replace Autopilot schedules with the vendor's managed monitors and accept that the agent runs on their infrastructure.
- ↗To plain cron and systemd timers: port each schedule from ~/.stakpak/autopilot.toml back into a unit file and drop agent-driven remediation.
- ↗To a different open-source agent CLI: export the Rulebooks and profile settings by hand, since config lives in TOML rather than in a portable format.
Integrations
Resources & Guides
- Resourcegithub.com
Agent · Stakpak 3.0 CLI
Helpful link from github.com
- Quickstartgithub.com
GETTING STARTED · Stakpak 3.0 CLI
Get up and running fast from github.com
- Resourcegithub.com
CONTRIBUTING · Stakpak 3.0 CLI
Helpful link from github.com
- API Referencegithub.com
Cli · Stakpak 3.0 CLI
Methods, params, types from github.com
- Documentationgithub.com
Docs · Stakpak 3.0 CLI
Full product docs from github.com
Tutorials & Learning
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Official links
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