EZClaws vs Heroku

Introduction

Heroku holds a special place in developer history. It was the platform that made "git push heroku main" synonymous with deployment. For years, it was the default answer to "where should I host my app?" — simple, reliable, and developer-friendly.

But that was a different era. Since Salesforce acquired Heroku in 2010, the platform has been in a slow decline. The removal of the free tier in 2022 was the most visible change, but the real issue runs deeper: Heroku simply hasn't kept pace with the modern hosting landscape. Meanwhile, AI agents have emerged as a major workload category that Heroku was never designed to support.

EZClaws represents what a hosting platform looks like when it's built from the ground up for a specific use case. Instead of being a general-purpose PaaS that you can awkwardly adapt for AI agents, it's a managed hosting platform where AI agent deployment is the primary workflow.

Let's see how the two compare for anyone looking to host an OpenClaw agent in 2026.

Deep Dive

Heroku's Legacy and Current State

Heroku launched in 2007 and revolutionized deployment. Before Heroku, deploying a web application meant provisioning servers, configuring web servers, setting up databases, and managing infrastructure. Heroku abstracted all of that behind a simple Git-based workflow.

At its peak, Heroku was the go-to platform for startups, indie developers, and prototyping. The free tier made it accessible to everyone, and the add-ons marketplace provided one-click access to databases, monitoring, caching, and more.

Today, Heroku looks different:

No free tier. As of November 2022, Heroku no longer offers free dynos, free Heroku Postgres, or free Heroku Data for Redis. The entry point is now $5/month for Eco dynos (which sleep after 30 minutes of inactivity) or $7/month for Basic dynos.

Pricing premium. Heroku's pricing is significantly higher than modern alternatives for equivalent resources. A Standard 1X dyno (512MB RAM) costs $25/month. On Railway, similar resources cost a fraction of that.

Ephemeral filesystem. Heroku dynos have an ephemeral filesystem — any files written to disk are lost on restart. For an AI agent that needs persistent data (conversation history, skill configurations, etc.), this is a significant limitation. You need external storage add-ons, adding complexity and cost.

Limited container support. While Heroku supports Docker via its container stack, the experience isn't as smooth as platforms built around containers from day one. Buildpacks remain the preferred deployment method, and they don't always play well with AI agent runtimes.

Stagnant feature development. Heroku's feature releases have slowed considerably. While competitors ship new capabilities regularly, Heroku has been in maintenance mode for years.

Running an AI Agent on Heroku

Let's walk through what hosting an OpenClaw agent on Heroku actually involves:

Step 1: Set up the container deployment. You can't just git push an OpenClaw agent — you need to use Heroku's container stack. This means creating a heroku.yml file, configuring Docker deployment, and dealing with Heroku's container registry.

Step 2: Configure environment variables. Every setting your agent needs — model provider, API keys, Telegram bot token, admin secret — must be configured via heroku config:set. This is straightforward but manual.

Step 3: Deal with ephemeral storage. Heroku's filesystem resets on every deploy and at least once every 24 hours (dyno cycling). If your agent stores any data locally, it will be lost. You'll need to add a Heroku Postgres instance ($5-15/month extra) or another storage add-on.

Step 4: Choose your dyno type. An AI agent needs to be always-on, so Eco dynos (which sleep) won't work. You need at least a Basic dyno ($7/month) or a Standard dyno ($25/month) if you need more resources or horizontal scaling.

Step 5: Set up HTTPS. Heroku provides automatic SSL on paid dynos via Automated Certificate Management (ACM). This is one area where Heroku works well.

Step 6: Build your own monitoring. Heroku's built-in logging (Logplex) is basic — logs are only retained for a short period. For real monitoring, you'll want a logging add-on (Papertrail, LogDNA, etc.) at additional cost.

Step 7: No usage tracking. Heroku has zero awareness of AI token consumption. You'll need to build your own usage tracking system or go without, making it nearly impossible to budget your AI costs.

Total: $12-40/month in platform costs, plus hours of configuration, and you still won't have usage tracking, skill management, or an agent-specific dashboard.

The EZClaws Alternative

The same result with EZClaws:

1. Sign in at ezclaws.com with Google.
2. Pick a plan on the pricing page.
3. Deploy from the dashboard.
4. Your agent is running with HTTPS, usage tracking, and access to the skills marketplace.

No container registry. No ephemeral filesystem worries. No add-on shopping. No monitoring setup.

Why Developers Left Heroku (And Where They Went)

The post-free-tier exodus from Heroku was massive. Developers migrated primarily to three categories of platforms:

Modern PaaS alternatives like Railway, Render, and Fly.io. These platforms offer better pricing, modern container support, and more features. Many EZClaws users are developers who would have been on Heroku five years ago.

Self-hosted solutions like Coolify and CapRover. Developers who wanted more control but still wanted a deployment experience set up their own PaaS on cheap VPS instances.

Specialized platforms like EZClaws. As workloads became more specific — AI agents, ML models, real-time applications — developers sought platforms built for their exact use case rather than general-purpose hosting.

For AI agent hosting specifically, Heroku's general-purpose approach means you're paying more for less. You get a platform designed for web apps, and then you bolt on everything needed for an AI agent. EZClaws gives you a platform designed for AI agents, where everything is already bolted on.

Heroku Add-ons vs. EZClaws Skills Marketplace

Heroku's add-ons marketplace was one of its best features — hundreds of third-party services integrated with one click. But these add-ons are for general infrastructure needs: databases, caching, monitoring, email, search.

The EZClaws skills marketplace is fundamentally different. Skills extend your AI agent's capabilities — adding web search, code execution, API integrations, and custom behaviors. They're not infrastructure add-ons; they're agent functionality plugins.

This distinction matters because it reflects the platforms' different philosophies. Heroku helps you run an app. EZClaws helps you run an AI agent. The tooling in each case is optimized for different goals.

Heroku's Remaining Strengths

To be fair, Heroku isn't without merit:

Mature ecosystem. Heroku has been around for nearly two decades. Its documentation, community resources, and Stack Overflow answers are extensive.

Salesforce integration. If you're in the Salesforce ecosystem, Heroku offers integration points that other platforms don't.

Review apps and pipelines. Heroku's CI/CD pipeline features, including review apps for pull requests, are well-implemented. These aren't relevant for AI agent hosting, but they're good features for web application development.

Familiarity. Many developers know Heroku. The heroku CLI and Git-based deployment are well-understood patterns.

However, none of these strengths are particularly relevant to AI agent hosting.

Pricing

Heroku Costs:

• Basic Dyno (always-on): $7/month
• Standard 1X Dyno (512MB): $25/month
• Heroku Postgres (Mini): $5/month (for persistent data)
• Monitoring add-on: $5-20/month
• Model provider API costs: billed separately
• Total: $12-50/month with no AI-specific features

EZClaws Costs:

• Subscription: See pricing page
• Usage credits included
• Infrastructure, monitoring, and agent management included
• One price, one platform

Heroku's pricing has become a hard sell. You're paying a premium for a legacy platform that requires additional add-ons to match what modern alternatives include by default. For AI agents specifically, EZClaws is more cost-effective and more capable.

Who Should Use What

Choose Heroku if:

• You're deeply integrated with the Salesforce ecosystem
• You have existing Heroku applications and pipelines you can't easily migrate
• You specifically need Heroku's review apps feature for web app development
• You're not hosting AI agents

Choose EZClaws if:

• You want to deploy an OpenClaw AI agent quickly and easily
• You need usage tracking and credit management
• You want a skills marketplace for extending agent capabilities
• You prefer modern pricing and features over legacy platform familiarity
• You're migrating from Heroku and want a better experience

Getting Started with EZClaws

Migrating from Heroku — or just getting started for the first time:

1. Sign in at ezclaws.com with your Google account.
2. Choose a plan on the pricing page.
3. Deploy your agent from the dashboard. Enter your API key, model provider, and configuration.
4. Explore the marketplace for skills to enhance your agent.
5. Monitor usage and credits in real time from the dashboard.

If you're coming from Heroku, you'll appreciate the simpler setup, lower costs, and purpose-built tooling. The deployment guide covers the migration process, and the blog has resources for getting the most out of your AI agent.

Heroku was great in its time. For AI agent hosting in 2026, it's time to move on to something built for the job. EZClaws is that something.