Compare

Screenpipe vs HeyClicky: execute now vs learn the workflow

An on-demand Mac agent vs local workflow history that can trigger repeatable automations

The Verdict

HeyClicky is strong when you know the task and want an agent to help or do it now. Press a hotkey and it can explain the current screen, draw where to click, or run an agent. Screenpipe is built for the process around that task. It keeps a local history of screens and conversations so an agent can start from the meeting, understand prior context, propose the next actions, request human approval, and work across connected tools. Choose HeyClicky for immediate Mac assistance. Choose Screenpipe when you need to own the workflow history, find what repeats, or build event-triggered automations across calls, CRM, project management, and other systems. Recording alone does not magically automate a process; it gives agents and operators the evidence needed to define, review, and improve one.

Criterion
Primary job
HeyClicky
Teach, explain, or act on the current Mac screen
screenpipe
Remember, search, and analyze work across time
Takeaway
HeyClicky optimizes the live interaction. Screenpipe supplies durable context before and after it.
Criterion
Capture boundary
HeyClicky
Screen and voice captured after a hotkey
screenpipe
Continuous screen, app, microphone, and system-audio history
Takeaway
On-demand capture is less ambient. Continuous capture is what enables retrospective workflow discovery.
Criterion
Data architecture
HeyClicky
Payloads pass through a backend to third-party AI; basic summaries are retained
screenpipe
Core capture and search can remain local, with optional cloud paths separated
Takeaway
HeyClicky minimizes screenshot retention. Screenpipe gives the operator control of the durable raw memory.
Criterion
Agent surface
HeyClicky
On-demand agents inside a packaged assistant
screenpipe
REST, MCP, CLI, event triggers, schedules, and configurable pipes
Takeaway
HeyClicky is simpler for immediate tasks. Screenpipe is the broader substrate for custom and team workflows.
Criterion
Operational loop
HeyClicky
A user asks the agent to complete the task in front of them
screenpipe
An event can gather context, propose actions, request approval, and continue through connected tools
Takeaway
Screenpipe fits repeatable cross-tool processes. HeyClicky fits live assistance and execution inside an active session.
workflow reality check

I am stuck in a Mac app and want someone to show me where to click

HeyClicky: HeyClicky is purpose-built for spoken guidance and drawing directly on the current screen.

screenpipe: Screenpipe can answer from context, but live visual coaching is not its clearest advantage.

After each customer call, we need to update systems and launch the approved follow-up

HeyClicky: HeyClicky can help execute the steps when a user invokes it and supplies the task context.

screenpipe: Screenpipe can start from the call transcript and surrounding history, propose the workflow for approval, then act through connected CRM, project, and outbound tools.

We repeat the same onboarding process and want to automate the stable steps

HeyClicky: HeyClicky can execute a known onboarding task during an invoked session.

screenpipe: Screenpipe can compare how onboarding actually happens across customers, expose the repeated steps and exceptions, and supply examples for a reusable agent skill.

We want to train or ground agents on our own work data

HeyClicky: HeyClicky offers packaged agents but does not document a public raw-data API.

screenpipe: Screenpipe exposes local work memory through REST, MCP, CLI, SQL, and pipes while preserving an endpoint-first data boundary.

On-device PII removal

Your SSN, cards, and keys never leave your device.

Screenpipe trained its own PII removal that runs entirely on your machine. Social Security numbers, credit cards, passwords, and API keys are detected and scrubbed before anything is stored — and it catches more sensitive data than OpenAI's and Microsoft's privacy filters do.

Cloud-first tools upload your raw screen and audio to their servers first. Your most sensitive data lands on someone else's infrastructure before any filtering happens.

See the PII engine
on-device text PII model
  • Catches more than OpenAI's privacy filter
  • Beats Microsoft's PII filter
  • Runs locally — no per-call cost, nothing sent out

Where screenpipe is stronger

Live help for the current screen vs memory of the whole workflow

screenpipe
every moment
m
t
w
t
f
8
9
10
11
12
1
2
3
4
5
100% of your workday
HeyClicky
meetings only
m
t
w
t
f
8
9
10
11
12
1
2
3
4
5
~12% of your workday
screenpipe
100% local
your data never leaves
HeyClicky
where does data go?
?
can't verify HeyClicky's privacy claims
screenpipe
works everywhere
macOS
Windows
Linux
desktop, all platforms
HeyClicky
mac only
macOS
Windows
Linux
switch OS = lose your data
screenpipe
developer friendly
# query your data
curl localhost:3030/search \
-d '{"q": "meeting notes"}'
{ results: [...] }
Claude integration
AI chat built-in
HeyClicky
no API access
no programmatic access
integrations
AI features

At a Glance

Feature
Screenpipe
HeyClicky
Primary Job
Remember and analyze how work happens
Help or act in the current moment
Capture Trigger
Continuous screen + audio
Only after pressing the hotkey
Screen Context
Searchable history across apps and monitors
What is visible when invoked
Voice and Audio
Continuous mic + system audio with local transcription options
On-demand voice conversation
Active On-Screen Guidance
AI chat and configurable agents
Voice guidance + drawings on screen
Data Path
Local-only capture and search available
Payloads sent via backend to AI providers
Screenshot Storage
Stored locally for durable memory
Not stored after processing
Stored Context
Local database you control
Basic text summaries stored by HeyClicky
Platform Support
Mac, Windows, Linux
Mac only; Windows waitlist
Source Visibility
Public source-available app repository
Public release feed, no app source
Developer Surface
REST API, MCP, CLI, pipes
No public API documented
Automation Model
Manual, event, or schedule triggers with agents
User invokes an agent for the current task
Workflow Discovery
Compare history to surface repeated steps and handoffs
No continuous history between invoked sessions
After-Call Workflows
Use transcript + prior context, then trigger connected tools
Ask an agent to take a specific action
Human Approval
Configurable approval step before an automation acts
User starts and directs the live session

Different jobs, not identical products

HeyClicky focuses on the live interaction: you ask for help, it sees the current screen, and it teaches or acts. Screenpipe focuses on the history around the interaction: what led to the task, how the task was completed, what happened afterward, and which process repeats across the team. That distinction matters more than a raw feature count.

Privacy means understanding the data path

HeyClicky says it only captures the screen when you press its hotkey and never stores screenshots. Its privacy policy also says screenshot, transcript, and prompt payloads travel through its backend proxy to third-party AI providers, while basic summaries and account data are retained on its servers. Screenpipe can keep capture, transcription, indexing, and search on the device. Optional sync, cloud AI, exports, connectors, and team workflows are separate choices.

From a call to an approved business process

The practical difference appears after a meeting ends. Screenpipe can give an agent the transcript plus the surrounding work context, trigger a workflow, ask for approval in Slack or another system, and then act through APIs, MCP servers, or skills. A live assistant can still execute individual steps, but someone must invoke it and provide the task context. Screenpipe is designed for turning the recurring sequence into an operation the team can inspect and reuse.

Persistent context helps agents improve, but recording is not magic

Screenpipe gives agents a history they can search for prior decisions, repeated steps, tool configurations, and outcomes. That makes it possible to categorize work, find automation candidates, and refine skills from real examples. It does not mean every process becomes autonomous just because it was recorded. Teams still need to choose the workflow, connect the right systems, define permissions, and keep a human review step where mistakes would matter.

Where HeyClicky is the better choice

If you use a Mac and want an approachable voice assistant that can point at the interface, teach an unfamiliar tool, or take an immediate action, HeyClicky is purpose-built for that experience. Screenpipe is a better fit when persistent history, data ownership, cross-platform deployment, APIs, or process discovery matter more than animated live guidance.

HeyClicky: pros & cons

Where HeyClicky Is Strong

  • Friendly voice-first experience built around a simple hotkey
  • Draws directly on the screen to guide users through unfamiliar tools
  • Runs on-demand agents that can complete tasks
  • Only captures screen context after the user invokes it
  • Free plan available with no card required

Limitations

  • macOS 14.2 or newer only; Windows is still a waitlist
  • Does not build a continuous record of work between hotkey sessions
  • Screenshots, transcripts, and prompts are sent through HeyClicky's backend to third-party AI providers
  • Basic text summaries and account data are stored on HeyClicky's servers
  • No public app source code; the linked GitHub repository contains the update feed and binaries
  • No public developer API or event-based workflow platform documented on the official site

Is Screenpipe a Good HeyClicky Alternative?

Yes. Screenpipe is a strong HeyClicky alternative and HeyClicky competitor for anyone who values privacy, transparency, and data ownership. Unlike HeyClicky, Screenpipe is open-source, supports local-only capture and search, and works on macOS, Windows, and Linux.

Screenpipe directly compares itself to HeyClicky on this page. The key difference: Screenpipe captures your screen and audio 24/7 while keeping core capture local-first. Optional sync, cloud AI, exports, connectors, and team workflows are scoped separately.

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