For Teams & Companies

Start free. Prove it on a real workload. Then scale.

You don’t evaluate MonkeysCloud with a sales deck — you evaluate it by shipping something. Every project starts with 2 free compute instances and 2 free databases. No credit card. No per-seat cost.

The Adoption Path

From pilot to production in 4 steps.

01Week 1

Land a pilot project

Pick one app and one team. Create a project, connect the repo, and let the platform auto-detect the stack from 32 supported runtimes. Free instances cover app + worker + database + cache at $0.

02Week 1–2

Bring the team in

Invite developers, designers, contractors, and clients. No per-seat pricing — headcount never changes the bill. One dashboard replaces Git host + tracker + deploy tool + monitoring.

03Week 2–4

Stand up real environments

Add a paid instance and every project gets 7 free compute instances and 7 free databases — enough for dev, staging, and production with most of it still free.

04Month 2+

Standardize and roll out

Once one team trusts the loop, the pattern repeats cleanly: one set of conventions, one dashboard. Agencies run dozens of client sites this way.

What It Replaces

One platform. One bill.

What teams run todayOn MonkeysCloud
GitHub + Jira + Vercel + DatadogOne platform, one dashboard
$10–20 per user / monthUnlimited members, always free
Separate database hosting2 free databases per project
AI tooling you build or buyAI code review built in
Different permissions per toolOne team, one role, everywhere

How the Economics Scale

Predictable pricing. Mostly free.

A realistic paid-org setup runs around 10 instances with 8 of them free. You pay only for the production app server and production database.

Free

Free
shared 0.25 vCPU1 GB RAM1 GB SSD

Starter

Free
shared 0.5 vCPU2 GB RAM10 GB SSD

Plus

$39/mo
shared 1 vCPU4 GB RAM25 GB SSD

Pro

$79/mo
dedicated 2 vCPU8 GB RAM60 GB SSD

Business

$149/mo
dedicated 4 vCPU16 GB RAM120 GB SSD

Scale

$299/mo
dedicated 8 vCPU32 GB RAM250 GB SSD

The Team Workflow

No context-switching.

Code, tasks, and deploys are linked in one place. The work that usually leaks across four tools stays in one.

Plan

Describe work in plain English; AI structures it into a task with title, labels, and estimates.

Build

Branches and PRs link to tasks automatically. AI reviews every PR before a human opens it.

Ship

Every push triggers a build. AI scores deploy risk. Typical deploys complete in under a minute.

Operate

Custom domain with SSL, real-time monitoring, and AI that explains root cause when things break.

MonkeysLegion v2.0 — Shipped

The framework is production-ready.

Standards-compliant

PSR-7, 11, 14, 15, 16, and 17 throughout.

545 tests / 1,145 assertions

Deep test coverage across the full ecosystem.

PHPStan Level 9

Static analysis across all source files.

6× Laravel throughput

~12.5K req/s at ~18% of the boot memory.

Secure by default

JWT, OAuth2, 2FA, OWASP headers — first-party.

MIT-licensed

No vendor lock on the foundation itself.

The Standout Advance

Apex AI orchestration — built into the framework.

The first PHP framework with a full AI orchestration engine built in — not a wrapper around one provider’s SDK. What typically takes 5–7 libraries in Python ships as one Composer package.

Multi-provider routing — Anthropic, OpenAI, Google, Ollama
Declarative pipelines — pipe, when, loop, parallel, transform
Guardrails — PII detection, prompt-injection defense, toxicity
Multi-agent crews — sequential, parallel, hierarchical modes
Smart model router — CostOptimized, QualityFirst, LatencyFirst
MCP server + client support, SSE streaming, 6 memory strategies

Where It’s Going

Public roadmap. Active development.

v2.1

  • Notifications package (email, SMS, Slack, push)
  • Per-route rate limiting via attributes
  • API resource transformers and pagination
  • Model factories for testing

v3.0 Vision

  • GraphQL with attribute-based schema
  • Admin panel generator (CRUD scaffolding)
  • Fibers-based async HTTP client
  • Native Swoole / FrankenPHP runtime
  • Plugin marketplace