Drifty vs OpenClaw

Drifty and OpenClaw are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Drifty

The core loop is passive: Drifty records your active app, site, and session title in three-minute blocks, then routes that minimal context through an AI classification engine to label each block. You review a timeline at the end of the day, a weekly heatmap, and a drift alarm that can nudge you mid-session. The privacy architecture is the differentiator — no screen recording, no screenshots, and you choose whether classification runs locally on your Mac, through drifty's managed cloud, or via your own API key. The ceiling appears quickly if you need billable hour exports, client-facing reports, or integrations with invoicing tools — the vendor page describes none of those. Mac-only, no API, no self-hosted option outside the local AI mode.

OpenClaw

OpenClaw runs as a self-hosted agent on your machine, connecting to WhatsApp, Telegram, or other chat apps you already use, then executing multi-step tasks autonomously — clearing inboxes, managing calendars, controlling local devices. Your context and skills live on your hardware, not a vendor's server. The agent extends itself: you describe a new capability in chat and it builds the skill. Community reports and the GitHub source confirm it is still in beta, which means rough edges surface on tasks requiring precise sequencing or app-specific edge cases. Teams hitting those edges are currently writing custom extensions rather than finding a polished fallback.

Attribute	Drifty	OpenClaw
Pricing	Paid	Free
Price	$5/month	—
Free trial	No	No
Open source	No	Yes
Has API	No	No
Self-hosted option	No	Yes
Platforms	Mac	macOS, Linux, Windows, Raspberry Pi
Pros	Fully passive capture in three-minute blocks with no timers or manual tags, so the data you review at the end of the day reflects what actually happened rather than how consistently you remembered to log. Three AI routing options — managed cloud, your own API key, or local on-device — so teams with strict data policies can run classification without any activity context leaving the Mac. Session-level detail beyond app names, so the timeline shows what was happening inside each app rather than just which window had focus. Drift alarm fires during detected drift periods, which means you get a mid-session nudge instead of discovering the pattern only when reviewing last week's data. Weekly heatmap and focus rhythm views aggregate daily patterns automatically, so identifying which hours of the week produce the most focused work requires no manual analysis.	Runs entirely on your hardware with your own LLM subscriptions, so your conversation history and personal context never touch a third-party server — which means no vendor data retention and no subscription lock-in at the model layer. Operates through chat apps you already use (WhatsApp, Telegram, Discord), so there is no new interface to onboard, and tasks reach the agent wherever you already communicate. Self-extending via conversation — describe a new capability and the agent builds the skill — so you avoid maintaining a separate automation script every time your workflow changes. Open-source with a hackable extensions directory, which means when a built-in skill falls short you can inspect and modify the exact code path rather than filing a support ticket and waiting. Persistent memory across sessions, so context from previous tasks carries forward — you don't re-explain your preferences every time you open a new conversation.
Cons	No export, API, or integration surface is described anywhere on the vendor page — if a freelancer needs to turn tracked focus time into a client invoice or feed data into a project management tool, Drifty provides no pathway to do that, and they move to a dedicated time tracker like Toggl or Harvest. Local AI mode requires downloading a model that the vendor states consumes approximately 5–7 GB of RAM — on a MacBook with 8 GB, that classification load competes directly with the development or creative work being tracked, making the free tier impractical on lower-spec machines. Mac-only with no web access and no Windows or Linux support means any team member not on a Mac is excluded, ruling Drifty out for cross-platform teams tracking collective focus patterns.	Beta-stage sequencing: tasks requiring precise multi-step coordination across third-party apps (e.g., booking a flight and updating a calendar entry contingent on confirmation) break in ways that aren't predictable before you run them. Teams work around this by breaking tasks into smaller explicit steps rather than trusting end-to-end autonomous execution. No API surface is available, which means any existing internal tool or dashboard that needs to trigger the agent programmatically has no integration path. Teams that want the agent embedded in a broader automation pipeline — not just driven through chat — are building that bridge themselves or switching to an agent framework that exposes HTTP endpoints. Companion app requirements (macOS 15+, Windows 10 20H2+) exclude teams on older hardware or locked OS versions. Those users fall back to the CLI-only path, which loses the native tray and chat UI that make the product accessible to non-developers.

Bottom line

Drifty is paid while OpenClaw is free; OpenClaw is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Drifty and OpenClaw?

Drifty is Paid, while OpenClaw is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Drifty better than OpenClaw?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.