Local-first ambient memory for your Mac β pages, meetings, notes, encrypted on-device.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
shyn.day Β· macOS (Apple Silicon) Β· pre-alpha Β· Elastic License 2.0
Shyn is the always-on memory companion for your Mac. It quietly remembers what you see, hear, and read β your screen, your meetings, your browsing, your notes β and gives your AI assistant total recall over your life. Ask Claude "what did we decide in yesterday's standup?" or "where did I read about that retention bug?" and get an answer grounded in your own history, not the internet's.
100% local. Zero cloud. Private by design. Everything shyn captures lives in an encrypted database on your Mac. Nothing is uploaded, synced, or phoned home β the only bytes that ever leave your machine are the few snippets relevant to a question you chose to ask, sent to the AI you chose to ask it.
Status: pre-alpha. Shyn is young, moving fast, and macOS-only (Apple Silicon). Expect rough edges and breaking changes. Install is a two-command Homebrew cask (
brew install+shyn setup) β the apps are self-signed and re-signed locally byshyn setup, not Apple-notarized; notarized one-click installs are on the roadmap.
shyn pause 30m. Exclude apps. Delete anything β forget is
byte-honest: vacuumed, gone, not soft-deleted.A background daemon owns an encrypted SQLite index (key in your macOS Keychain) and serves JSON-RPC over a unix socket. Capture agents β screen, meetings β and source readers β Chrome, Safari, Apple Notes β feed it. Your AI talks to it through five MCP tools. That's the whole trick: one private index, many memories, any MCP-speaking assistant.
| Tool | What your AI gets |
|---|---|
search_memory(query, β¦) | Hybrid search with provenance β the workhorse |
recent_activity(hours?, β¦) | Orientation timeline; great first call on vague questions |
remember(content, tags?) | Explicit "write this down" memory |
forget(doc_id | source | time-range, confirm) | Honest deletion; refuses without confirm: true |
memory_status() | Health, index counts, model download %, connected sources |
Two commands: the cask verifies the download against its pinned checksum,
and shyn setup starts everything and walks you through permissions via
the βοΈ menu bar window. No Node, no Xcode, no cloning. Read the cask's
caveats β they're the honest fine print (local signing, quarantine, EDR).
Update later with brew upgrade shyn && shyn setup.
Register the MCP server with Claude Code:
Substitute <path-to-shyn-repo> with the absolute path where you cloned
this repo (e.g. the output of pwd run from inside it).
Feed it something and ask Claude about it:
Use an absolute path: it's stored as the document's uri. Ingest accepts a
single file (.md, .txt, .pdf) or a directory to walk. Pull in browser
history and Apple Notes any time with pnpm shyn sync.
That's it: installs dependencies, creates a stable local signing identity,
builds the daemon bundle + capture agents + status app, and starts
everything under launchd. Idempotent β re-run it after every git pull.
Under the hood it stages and starts everything β daemon, screen agent,
meeting agent, and the menu bar status app β surviving reboots, logging to
~/Library/Logs/shyn/. Grant the permissions macOS asks for (Microphone +
System Audio for meetings; Screen Recording + Accessibility for screen
capture; Full Disk Access only if you want Safari/Notes β everything else
works without it, no dark patterns, no nagging).
pnpm build:mcpb produces dist/shyn.mcpb β drag it onto Claude Desktop's
Settings β Extensions page. (Registers the MCP client; the daemon must be
running via install above.)
Shyn is a standard stdio MCP server β any MCP client works, and your memory never has to touch a paid API at all. Tested so far:
Claude Code / Claude Desktop β daily drivers, best-in-class at knowing when to reach into memory unprompted.
Qwen3 14B running locally (MLX on Apple Silicon) via Open WebUI, with mcpo bridging MCP to OpenAPI:
Honest notes from testing: retrieval quality is identical everywhere β the
ranking runs inside the daemon, not the model. What varies is the driver.
Smaller local models answer well when you're explicit ("search my memory
forβ¦") but are less reliable at deciding to search on their own, and
thinking-mode models may need their reasoning reined in (/no_think for
Qwen3). Budget ~10GB of unified memory for a 14B model alongside the daemon.
β¦or skip the terminal entirely and click the βοΈ in your menu bar.
Me: / Others:), 10-second
cancellable grace before any recording, 180-minute hard cap, temp audio
byte-purged on ingest. Transcription defaults to Whisper small; at that
size Hindi/Hinglish and other non-English speech often lands as an English
gist (documented, not hidden). For markedly better multilingual
transcripts, click Multilingual under "Meeting language" in the menu
bar popover (a ~3GB one-time download that starts immediately; the
popover says plainly which model your next meeting will use). Same
switch by hand: "meeting": { "whisperModel": "large-v3" } in
~/Library/Application Support/shyn/capture.json; medium is the
middle ground. Config hot-reloads, no restart."updateCheck": false in capture.json. The capture agents and the
daemon make no network requests, ever.pnpm eval:keyword, eval:hybrid) runs a synthetic
corpus against pre-committed pass/fail bars for CI. It is not a benchmark
and its numbers are not an accuracy claim.docs/known-issues.md β
honesty is a feature.shyn diagnose:
it prints a copy-pasteable block of versions, service states, and
error-log lines β zero document content β and you choose where to
paste it.Elastic License 2.0 (source-available).
In plain words: use it, read it, modify it, share it β personally or at work, for free. What you may not do is sell shyn or offer it to others as a commercial or managed service; that right stays with the project. The full text is one page and worth reading.
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