What did Hlido score Stakpak?

Stakpak scored 71/100 (STEADY) in Hlido's independent, hands-on review.

How much does Stakpak cost?

Hlido recorded the pricing model as: Open source. Derived from evidence Hlido holds, not vendor-supplied; verify current prices on the vendor's pricing page.

Does any vendor pay Hlido for placement?

No. Hlido takes no money from the agents it rates — scoring weights stay private and the evidence behind every verdict is public.

Stakpak

Name: Stakpak review
Item: Stakpak
Rating: 71
Author: Hlido Editor

Infrastructure · tested 2026-06-17 · re-test due 2026-09-17 · by the Hlido desk, not the vendor

In short: Always-on autonomous DevOps agent that lives on your machines — compelling premise, real traction, but the 'ship on autopilot' claim needs more verification surface.

5 PASS · 0 FAIL of 5 public-surface claims

Visit Stakpak → scorecard.json

Quick answer

Stakpak scores 71/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-06-17). STEADY (71) because the architecture is differentiated (persistent local agent vs cloud service), the install experience is polished, and the star count is consistent with genuine adoption. Pricing: Open source (free entry point documented).

Hlido Editor · 2026-06-17

Stakpak makes a specific and credible bet: that the correct architecture for autonomous DevOps is a persistent agent that runs on your own infrastructure 24/7 rather than a cloud service you call on demand. 'All the upside of a PaaS, none of the lock-in' is a sharp positioning. The curl-install one-liner and the Ratatui TUI show product craft — this isn't a README-only project. The 1,585 GitHub stars and active CI give signal that real developers are adopting it. The agent model (ping humans only when blocked, otherwise proceed) aligns with how experienced engineers already think about delegation. What's genuinely uncertain: the scope of what 'keeps your apps running' covers in production (deployment only? monitoring + auto-remediation? incident response?), the extent of platform compatibility (which cloud providers, which CI/CD systems), and what the failure modes look like when the agent gets stuck in a loop. This is the kind of tool where the integration story matters enormously — and the integration story lives mostly behind a signup and a working deployment.

Why STEADY

STEADY (71) because the architecture is differentiated (persistent local agent vs cloud service), the install experience is polished, and the star count is consistent with genuine adoption. Not VITAL because the deployment scope and failure handling are opaque from the public surface, and 1.5K stars is promising but not the signal of a category-defining tool yet.

Public-surface checklist

PASS Homepage loads (required)
PASS Primary value prop (required) — 'Ship your code, on autopilot'
PASS Cta present (required) — Install command + GitHub link
PASS Pricing or access — Free and open source
PASS Evidence or demo — GIF demo in GitHub README

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-62e05786ae503778-stakpak-dev). Our own captures — not vendor marketing material.

Stakpak — run screenshot 1 (home.png) — home.png

What it does well

Persistent agent model — runs 24/7 on your infrastructure, not a cloud function you invoke
Ratatui TUI shows real product craft for a CLI-first tool
curl install + single binary distribution — zero external dependencies
Open source (Apache 2.0) with active CI and community (Discord)
Human-in-the-loop only when blocked — correct default for autonomous DevOps

What it fails at

Scope of 'keeps your apps running' opaque — deployment-only? monitoring? incident response?
Cloud/CI platform compatibility not enumerated on public surface
Agent failure modes and recovery strategies not documented
No public demo of actual autonomous operation — GitHub GIF shows UI, not end-to-end run
Pricing and enterprise support story absent

Best for

Engineering teams that want an autonomous DevOps agent without surrendering infra control to a managed service
Self-hosted deployments where data sovereignty matters
Small engineering teams that need continuous deployment monitoring without a dedicated DevOps hire
Organizations already using Rust tooling that can extend the agent's capabilities

Not recommended for

Teams that need vendor SLAs and enterprise support
Organizations with existing GitOps tooling that already handles autonomous deployment
Teams that need the agent on cloud infrastructure they don't control (Stakpak runs on your machines)
Non-technical operators — CLI-first with TUI requires engineering comfort

Pricing & access

ModelOpen source
Free entry pointYes — a free tier or open-source edition is documented
Pricing findable on the public surfacePASS Free and open source (tested 2026-06-17)

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-06-17.

Compared to

Flytio autonomous-devops
Flyte is a workflow orchestration platform (Python DAGs, data pipelines). Stakpak is an autonomous DevOps agent (deployment + monitoring). Adjacent but different: Flyte for data pipeline orchestration, Stakpak for application delivery.

Agent relevance

CLI

Agentic-Commerce Readiness 43/100 · SURFACE-ONLY

Independent readiness for agent delegation & transaction. How it’s scored · check live

CLI-first. Install via curl, configure, and the agent runs persistently on your machines. Not designed to be called by other agents — it IS the agent. Limited external API surface documented.

Agent-friendly score: 4/10

Evidence

Open source on GitHub with 1500+ stars — source (2026-06-17) verified
curl install one-liner — source (2026-06-17) verified
Apache 2.0 license — source (2026-06-17) verified
Ratatui TUI in screenshots — source (2026-06-17) verified

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-2+editorial-narrative-v2 · Methodology version 2026.06 · Next review due 2026-09-17

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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