Sageling
a local AI agent for Mac, Qwen 3.5 9B in-process via MLX
Details
- External ID
- 49569136
- Source
- HN
- Company
- —
- Product
- Sageling
- Website domain
- sageling.ai
- Launched
- Sept. 4, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.4393939393939394
- Tags
- —
- Fetched at
- Sept. 10, 2026, 5:31 a.m.
- Updated at
- Sept. 10, 2026, 5:31 a.m.
Description
A lot of my non-developer friends still think that AI is basically just Google or something you ask to write something and then copy paste it around... if they use it at all. When I ask them why they don't use the good stuff like Claude Cowork or its competitors, they tell me a few things: 1. Well, I don't wanna pay a bunch of money for it, and the $20 plans run out real fast. 2. I'm dealing with sensitive info (student grades, therapy notes, legal work, etc) and I don't wanna give it to anyone.So I built Sageling to give them a first taste of what a good coworking experience feels like. It's admittedly not going to be as powerful given it's running Qwen 3.5 9B, but with all of the harness' tricks, it a good first experience that can handle some impressive things for its size (see all the website videos).If you've heard similar things from your friends, send the link onto them =)
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Prosumer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- local ai agent for mac
- Manually corrected
- False
Could you build this?
Partial Building a standard desktop UI is easy, but integrating Apple Silicon MLX C++/Swift bindings to run local 9B models and audio models in-process without memory crashes requires deep native systems optimization.
What it would actually take: Requires a native Swift/macOS app that directly interfaces with Apple MLX or llama.cpp via C/Obj-C bridges, alongside local Whisper models for speech-to-text. The hard part is memory budgeting to run a quantized 9B LLM and transcriptions simultaneously within 16GB of unified memory without UI stalls or thermal throttling, plus handling local tool-calling loops. Requires native Apple platform engineering and local machine learning inference expertise.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one — 161 launches clear the similarity bar, closest 8 shown.
Attention rank: #86 of 162 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 302 days after the earliest competitor.
- Mozilla.ai introduces Clawbolt, an AI Assistant for the trades · hn · 2026-03-03 · 12 upvotes · similarity 0.51
- Maxxwell · hn · 2026-09-09 · 11 upvotes · similarity 0.46
- I made a Raspberry with Qwen my local car AI · hn · 2026-08-25 · 146 upvotes · similarity 0.46
- Juggler · hn · 2026-07-12 · 280 upvotes · similarity 0.45
- I built a way to find and install Claude skills · hn · 2026-06-02 · 7 upvotes · similarity 0.45
- Bestie, a coding agent that respects you · hn · 2026-09-08 · 5 upvotes · similarity 0.44
- Agents, run any coding agent on your subscription not API costs · hn · 2026-05-31 · 6 upvotes · similarity 0.44
- Loopsy, a way for terminals and AI agents on different machines to talk · hn · 2026-05-01 · 58 upvotes · similarity 0.44
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.