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Pheron Agent
A native macOS AI agent that never phones home
Pheron Agent runs entirely on Apple Silicon — planning, tool use, and self-correction across 72 integrated tools, with nothing leaving your machine. Built in Swift, tested against real bugs, not a demo.
Hey — I'm Turgay, I built Pheron Agent alone, mostly at night, over the last several months.
The short version: it's a macOS app that runs a full agent loop — plan, call tools, read the result, correct itself — entirely on your own Mac. No API key, no account, no data leaving the machine. It talks to 72 tools (files, shell, browser, calendar, Jira, Slack, Notion, and a lot more) through a real Swift actor architecture, not a Python wrapper around someone else's API.
Every one of those 72 tools ships behind a real test suite — 369 tests right now — and I don't merge a fix without running it against a live account, not a mock. Every MCP integration (Jira, Slack, Notion, GitHub, and more) was connected to a real account and driven with a real prompt before I called it done. The full testing methodology (300+ real scenarios, not synthetic benchmarks) is public: https://github.com/trgysvc/Agent...
I didn't build this to prove a point about local AI. I built it because I stopped mid-paste one day — about to hand a year of product strategy to a chat window — and realized I never had a real answer for "where does this actually go." I wrote the longer version of that here: https://trgysvc.github.io/blog/i...
A couple of weeks ago I found a bug where it told me a Jira ticket move had failed, and the ticket had actually already moved — the agent ran out of "turns" one step after it succeeded, and reported the timeout as a task failure. Wrote that one up too: https://trgysvc.github.io/blog/t...
Pricing is $69 one-time (normal price is $99, this is still the launch discount), one Mac license, 14-day no-questions refund. Needs Apple Silicon and macOS 26+.
Happy to answer anything about the architecture, the sandboxing, or why I made specific calls the way I did — I'll be around in the comments all day.
About Pheron Agent on Product Hunt
“A native macOS AI agent that never phones home”
Pheron Agent was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #137 on the daily leaderboard. Pheron Agent runs entirely on Apple Silicon — planning, tool use, and self-correction across 72 integrated tools, with nothing leaving your machine. Built in Swift, tested against real bugs, not a demo.
On the analytics side, Pheron Agent competes within Artificial Intelligence — topics that collectively have 478.1k followers on Product Hunt. The dashboard above tracks how Pheron Agent performed against the three products that launched closest to it on the same day.
Who hunted Pheron Agent?
Pheron Agent was hunted by Turgay Savacı. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Pheron Agent including community comment highlights and product details, visit the product overview.
Turgay Savacı