Local work memory for macOS developers
Stop losing context. Resume work instantly.
Remnis creates a searchable memory layer for your daily workflow so you can recover past decisions, errors, and task context without slowing down.
Remnis Session View
Current Focus
Chrome - Amazon Cart - Slack DM
Terminal
pytest sidecar/tests/test_search.py
8 passed - 1:42 PM
Messages
“Did you order that mic arm yet?”
1:44 PM
Memory Activity
Last 2h
Stuck On An Error? Ask Like You Remember.
You see a failure in terminal. Instead of digging through tabs and history, you ask Remnis in plain language and get back the exact context that solved it yesterday.
Terminal - npm run build
$ npm run build
Compiling project...
error TS2307: Cannot find module "@/lib/search"
at src/observer/index.ts:14:19
Build failed with 1 error.
Fixed by restoring alias path in tsconfig
`src/observer/index.ts` • Yesterday • 5:42 PM
Related terminal run: rebuild succeeded after restart
Terminal.app • Yesterday • 5:47 PM
Remember What You Were Buying Yesterday
You had an item open on Amazon, got distracted by messages, and forgot what it was. Remnis connects browser, chat, and timeline context so you can resume instantly.
Sony WH-1000XM5 Wireless Headphones
Color: Black • Seller: Amazon
Elgato Wave Mic Arm LP
Saved for later • Prime shipping
Slack DM • 4:18 PM
“Did you end up ordering that microphone arm?”
You were comparing Sony WH-1000XM5 and AirPods Max
Amazon tab active at 4:11 PM in Chrome.
Cart snapshot found: Sony XM5 + Elgato Wave Mic Arm LP
Last seen in cart at 4:16 PM.
Related context: Slack reminder about ordering mic arm
Message received at 4:18 PM, two minutes after cart update.
Why Remnis
Developer context is fragmented. Your terminal knows one part, your editor another, your browser another. Remnis helps you recover the full picture quickly, using intent instead of memory gymnastics.
Developers who switch between many tools throughout the day.
Builders who lose track of where they solved a specific issue.
Teams that want private, local-first context recall by default.
Built For Real Developer Workflows
Intent-Based Recall
Find context with natural prompts like “that docker error from this morning” instead of exact keyword guessing.
Low-Noise Capture
Context events are normalized, deduplicated, and filtered so your memory timeline stays useful.
Tool-Spanning Memory
Connect the dots across editor work, terminals, browser tabs, and docs in one local workflow memory layer.
Fast Local Retrieval
Designed for quick search and resume so you can recover task context without breaking your flow.
macOS-Native Workflow
Built for how developers actually work on macOS, with local sidecar architecture and desktop-first UX.
Searchable Work Timeline
See where and when things happened so you can return to the exact moment you solved something.
How It Works
STEP 1
Observe your context
Remnis captures active workflow context across the tools you use.
STEP 2
Clean and organize events
Events are normalized and deduplicated to remove noise.
STEP 3
Search by intent
Ask naturally and recover the exact context you need to continue.
Privacy-First, Local-First
No Required Cloud Dependency
Core search and memory workflows are designed to run locally on your machine.
Local Sidecar Architecture
Sidecar APIs are local and intended for on-device indexing and retrieval.
FAQ
Does Remnis require cloud sync?
No. Core functionality is designed for local-first operation with no required cloud dependency.
What kind of context can I recover?
Task context such as prior errors, related files, app/window history, and useful snippets tied to your workflow timeline.
Who is this best for?
Developers and builders who regularly jump between editor, terminal, browser, docs, and chat tools.
What is the privacy model?
Privacy-first by default. Sidecar APIs run locally and context processing is intended to stay on-device.
Get Started
Explore the repository and start building with local memory for your dev workflow.