Del vs OpenClawmanaged vs self-hosted.

What's the main difference between Del and OpenClaw?

OpenClaw is something you run; Del is someone you text. OpenClaw is a free, open-source autonomous agent that lives as a local daemon on your own machine, routes through chat apps, and executes tasks with your own LLM keys. Its real strength is ownership: your files stay on your hardware, it has direct filesystem, shell, and browser access, and it's fully self-modifiable with no vendor lock-in.

Del is the opposite trade. Del is a proactive personal assistant that lives in your messages — iMessage, WhatsApp, Telegram, SMS — with nothing to install, host, or maintain. Del triages your email, manages your calendar and tasks, remembers what matters, and follows up on its own. You don't operate Del. You text Del like a friend, and Del works for you.

Can Del do everything OpenClaw does?

No, and that's by design. OpenClaw can read and write files on your own disk, run shell scripts, and drive a browser on your machine — things a text-native managed assistant cannot do. If you're a technical user with strict data-residency or privacy requirements, need an agent with local file and shell access, and are willing to operate a server, harden it, and accept community-only support, OpenClaw is genuinely the better pick. It can even run fully local models for zero third-party data custody.

Del is built for a different job: being the assistant you don't have to manage. Del is made for non-technical people, not just power users and developers. There are no config files, no model upkeep, and no security hardening on your end — Del is managed and maintained for you. The work comes to you over text instead of living on a machine you run.

How proactive is Del compared to OpenClaw?

Both can act on their own, but proactivity is Del's whole reason to exist. Del is the first personal AI you don't have to prompt — Del figures things out, then takes action, rather than waiting for instructions. OpenClaw has a proactive capability layered on a reactive messaging core: it can act unprompted through cron jobs, webhooks, and heartbeat check-ins, but you configure those triggers yourself.

Del's proactivity shows up as plain texts you didn't ask for: "The plumber finally answered 🔧 Saturday, 9 to 11. He has the gate code." Or, at midnight, "It's 12 — you should sleep 😴 you've got a meeting at 8:30." That follow-through is what users notice. As Arjun, in Private Equity at MUSEDATA, put it: "What I like most is how proactive the agent is. It follows up, asks you questions, and it learns about you — I can see it increasing my productivity by a lot."

There's also a cost-of-ownership gap worth naming. OpenClaw is self-hosted software, so running it safely is real work: any agent with file and shell access is something you have to harden, sandbox, and keep patched yourself, and community plugins are code you choose to trust. That's a fair tradeoff for the ownership and control OpenClaw gives you. Del carries none of that operational burden — Del is managed and secured for you.

Should I use Del or OpenClaw?

Choose OpenClaw if you're technical, want to own and self-host the runtime, need an agent with direct file, shell, and browser access on your own machine, and will take on the setup, hardening, and upkeep that comes with it. The software is free; you pay only for LLM API usage, or run local models at no cost.

Choose Del if you want an assistant, not a system to operate. Del is $20/month, flat, with two weeks free — long enough to feel the proactivity and the memory compound. There's nothing to install or maintain, and Del gets more useful the longer you use it. As Ben, a Data Scientist at Glean, said: "I don't think I could stop using it. It's so good at following up with me." You've got Del, and Del's got your back.