A business guide to OpenClaw's cron and heartbeat

AI agents have graduated from executing tasks on command to running multi-step projects on a schedule. Models such as Claude Opus and GPT-5.4 have reached a new level of resourcefulness, working for hours, recovering from setbacks, and routing around obstacles to get the job done.

This new agent capability enables teams to multiply the impact of AI on their work, without adding headcount or relying on manual follow-through.

OpenClaw popularized the idea of automating recurring work with AI. The key innovation of the project was to give each agent a "heartbeat" that prompts it every 30 minutes to perform valuable work, and a cron function that can be set to run at specific times. For a deeper look at what OpenClaw is and how it works, we covered that in a previous post.

In this article we'll explain the difference between heartbeat and cron in OpenClaw, and introduce a cloud based alternative that teams can use safely.

How OpenClaw handles automation

The key difference between Cron and Heartbeat is simple. Cron starts work, while heartbeat keeps it going. The cron function kicks off a run, while the heartbeat file determines whether the agent should continue, end, or change course.

This combination reflects a shift in how previous tools structured automation. Instead of treating each run as a one-off execution, in OpenClaw automation is an ongoing process.

In practice, this means an agent can be scheduled to start at a specific time, then continue operating for an extended period, retrying actions, gathering additional information, and adjusting its approach as needed. The system is designed to support long-running, adaptive workflows rather than short, deterministic scripts.

This model is closer to delegation than orchestration. You are assigning responsibility to an agent, and it manages its own execution. Jason Calacanis demonstrated this approach with OpenClaw Ultron, his custom deployment that autonomously handles podcast production and CRM operations.

How Adapt handles automation

Adapt handles automation in three ways, each suited to a different type of work.

Recurring monitoring. You can tell Adapt to check for something on a repeating interval, as often as every 15 minutes or as infrequently as every few hours.

For example: "Check HubSpot every 15 minutes for new leads and send me a brief so I can reach out."

Each run starts with a fresh context, so there is no accumulated state or drift. This is Adapt's equivalent of OpenClaw's heartbeat, but managed and sandboxed.

Recurring scheduled tasks. You can schedule work on a regular cadence. "Every day at 9 AM, pull yesterday's sales numbers and post a summary in Slack."

This is Adapt's equivalent of OpenClaw's cron: the "do X at Y time" use case, whether it's daily, weekly, or monthly.

One-time future tasks. You can also schedule something to happen once. "Remind me tomorrow to follow up with that prospect," or "At 9 AM Friday, generate the board deck and share it with the team."

These are fire-and-forget: Adapt executes at the specified time and you move on.

Adapt also lets teams build custom apps, like dashboards or internal tools, using natural language. Apps are a good fit for recurring tasks that a team needs to run on demand.

To see these capabilities in action, read how Adapt uses Adapt internally across engineering, marketing, and sales.

Where OpenClaw and Adapt diverge

The basic automation capabilities of OpenClaw and Adapt are equivalent. The real differences are in how that automation is operated, secured, and shared across a team.

Adapt is managed

OpenClaw is an open-source project that runs on your machine, or server. If your laptop sleeps, the cron fails, or the heartbeat stops. And if you self-host OpenClaw, you maintain the infrastructure.

By contrast, Adapt runs on managed cloud infrastructure. Scheduled tasks execute whether you're at your desk or on a flight. Apps stay deployed without you managing containers. You don't need to hire a DevOps engineer to keep your AI agent alive.

Adapt is safe

OpenClaw inherits whatever access you give it. API keys live in your local environment, and every run executes with that full set of permissions. There is no centralized way to scope access per task or enforce boundaries beyond the machine it runs on.

Adapt enforces access at the organization level. Integrations are connected with defined scopes, and permissions mirror the underlying systems, so agents only see what a user is allowed to see. Secrets are managed centrally, not passed around in .env files.

Each task runs in an isolated, sandboxed environment with least-privilege access. A fresh execution context is created every time, and actions are logged, so work is auditable and contained. Instead of trusting a long-running agent with broad access, Adapt applies permissions at runtime, on every task. We covered the security comparison between OpenClaw and other agents in detail previously.

Adapt is for teams

OpenClaw is fundamentally a personal assistant, while Adapt was built for organizations.

Adapt is a company agent that works across business data, and is designed to operate inside the tools where teams already work, like Slack, GitHub, and Jira. This is the direction the market is moving: one connected AI system across all tools.

Workflows can be designed by a team in conversation with Adapt, and the agent can post results of the work within shared channels. Adapt is a multiplayer AI system that leaves an auditable trail others can follow. If one person leaves, the automation does not disappear with their laptop or local config. The system, the context, and the history stay with the team.

Adapt as an OpenClaw alternative

If you're building a company, your team needs more than just a personal agent. Your automations should be managed, safe, and collaborative. Adapt gives you the same scheduling power of OpenClaw with managed infrastructure, org-level security, and team-wide visibility out of the box. Understanding what an AI agent actually is helps clarify why these differences matter at scale.

FAQ

Can OpenClaw and Adapt both run scheduled automation?

Yes. OpenClaw uses two systems, heartbeat and cron, to handle interval-based monitoring and precisely timed tasks. Adapt uses scheduled tasks (cron and one-shot) plus persistent apps for continuous monitoring. The automation capabilities are equivalent.

What's the difference between OpenClaw's heartbeat and Adapt's Apps?

Both handle monitoring. OpenClaw's heartbeat wakes an agent on an interval to check for changes. Adapt Apps are persistent, always-on applications deployed to managed infrastructure, purpose-built for continuous watching rather than periodic wake-ups.

Do I need to manage infrastructure with either tool?

OpenClaw runs on your machine or a server you maintain. If your machine goes offline, automation stops. Adapt runs on managed cloud infrastructure with no uptime responsibility for the user.

Is OpenClaw safe for business use?

OpenClaw stores API keys in local environment variables and runs with whatever permissions you give it. There is no centralized way to scope access per task. Adapt manages secrets at the org level with defined scopes, runs every task in an isolated sandbox, and logs all actions for auditability. For a detailed comparison, read our post on OpenClaw security.

Can my team see and edit automations?

In OpenClaw, automations live in local or hosted config files. In Adapt, scheduled tasks are visible, searchable, and editable by anyone in the organization who has been granted access.