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Breadcrumb, record everything on your mac + context manager for AI

This is 1 of 192 launches in ai meeting notetakers and voice recorders — see how it stacks up on momentum and crowding →

86 other launches read as similar to this one →

Details

External ID
49924943
Source
HN
Company
—
Product
Breadcrumb, record everything on your mac + context manager for AI
Website domain
innerloop.works
Launched
Oct. 1, 2026
Cohort
—
Upvotes
15
Upvotes percentile
0.7352941176470589
Tags
—
Fetched at
Oct. 2, 2026, 1:01 a.m.
Updated at
Oct. 2, 2026, 1:01 a.m.

Description

Hi HN, I'm Justin.Breadcrumb records everything you do on your Mac (screen + meetings + AI transcripts + what you and your AI decided) and turns it into memory your AI can search. It's local and encrypted.You can also teach it rules by talking to it and it makes sure the right rules turn up in the right context. Works with Claude Code / Codex / Cursor / opencode.All of this is exposed to your AI as 30+ MCP tools (here's the definitions): https://innerloop.works/breadcrumb/mcpI started it in June because I wanted to understand what was going on with my AI dev work. Then it just kept growing as I jammed on it 10 hours a day for 3 months.I started by recording every screen so I could jump back to a moment and see what I'd been doing with the AI. Then I added MCP so the AI could search it. Then time tracking. Then meetings with transcripts and timestamped screenshots.After that I started feeding the data back in. At first it was just a few relevant memories in the prompt. Then I started adding rules and rules modules.Then I started recording the AI transcripts and all the other stuff the AI did (subagents, tools etc). I wanted a complete record so I could go back and see what the AI did and why.I found the more data the AI had the more useful it became. One example. I got off a zoom call with the team at the day job and said:"Review the meeting I just had, find all the bugs we discussed, and create JIRA tickets with screenshots."It read the transcript. Found every bug we mentioned, pulled the screens from the screen timeline, spun up my local server, diagnosed each bug, reviewed the code, created 14 tickets in JIRA with diagnosis and likely fixes, attached 12 screenshots as evidence, and created a nice Slack message to send to my colleagues.I never built a workflow for any of that. Claude had the meeting record, Breadcrumb tools, and rules I'd accumulated. It basically chained the steps together itself.My favorite thing about the system is observability of my own work as an AI developer. I can trace a bug all the way back to the first thing I said (or the first thing the AI did) that caused it. Then I can add a rule so it doesn't happen again.Anyway, my working system is simply Claude Desktop + Breadcrumb + Markdown. I find I don't need anything else.It's local software for one person. Local models for transcription and diarization. Data encrypted with SQLCipher and a passphrase. You can exclude any apps, websites, words and phrases.Breadcrumb itself only makes one network call which is a daily update check. (but of course your AI will use it and that is local or cloud depending on what you use).It runs cool about 12% of one core on average (M series mac has 8+). You can set it to just save OCR text or to save screenshots. If just OCR it's about 12mb day (a lot of telemetry, indexing etc). If you record screenshots on meetings it's about 120mb/hour (1 every 2 secs). It can also record screenshots of everything that's heavy at about 160mb/day. It does local classification/naming with ollama with Gemma 3 4B (2.5 GB).It's 100% free. There's no account you can just download and start using it. I'll monetize it via E2EE cloud sync and team sync. It's open beta. Just one developer working on it. Requires 16GB+ M Series Mac.Thanks for reading!https://innerloop.works/breadcrumb (homepage)https://innerloop.works/breadcrumb/download (direct download)https://innerloop.works/breadcrumb/mcp (mcp definitions)https://discord.gg/gmavGZ6J8u (feedback and requests)

Enrichment

Theme
ai meeting notetakers and voice recorders
Vertical
Horizontal
Function
Workflow automation
Audience
Prosumer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
screen recorder and ai context manager for mac
Manually corrected
False

Could you build this?

Partial Wrapping an LLM context manager is easy, but continuous, performant background screen capture, local meeting audio transcription, and low-latency encrypted local vector retrieval on macOS require native systems programming.

What it would actually take: Requires native Swift/macOS development using ScreenCaptureKit and CoreAudio, integrated with an on-device OCR pipeline (Vision framework or Apple OCR) and local speech-to-text (Whisper.cpp/Metal). The hard parts are keeping battery and memory consumption minimal during continuous multi-hour captures and implementing a fast local SQLite/vector index with Model Context Protocol (MCP) server support.

Discussion

2 comments analyzed.

Competitors mentioned: Windows Recall

Competitors

Other products that read as similar to this one — 86 launches clear the similarity bar, closest 8 shown.

Attention rank: #37 of 87 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 310 days after the earliest competitor.

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