The brain for your work.

How engr4m works

Five stages from chaos to action.

Every signal flows through the same pipeline — from raw event to cited answer to the surface where you actually work. All five stages are live: engr4m is your second brain today.

1. 01
   Capture every signalLive

   Input

   Connect Slack, WhatsApp, Google Calendar, Outlook, Jira, Linear and GitHub. Every message, meeting, ticket and pull request is ingested as a normalized event scoped to the right workspace, party and case — over webhooks, polling or watch channels, with realtime push to the UI.

   9 providers shipped · normalized into one event stream

   On the roadmap

   Docs, meetings & open APIs — Google Drive, Notion, Confluence, Granola, Teams, Zoom, Google Meet, plus a generic REST/webhook inlet for your own systems.

   OAuth installationsWebhooks · polling · watchRealtime pushPer-party scoping
2. 02
   Store as one source of truthLive

   Encode

   Every signal becomes a row in a single events table — provider-agnostic, provenance-preserving, audit-logged. Conversations, calendar, work items and source control are all read-models over the same store, so nothing lives in a silo and every change has a paper trail back to its installation.

   events table · live

   • @jane Let's reschedule the migration review to Thursday.

     #engr4m-eng · 2h

   • Status changed: In Review → In Progress

     ENG-421 · 4h

   • alex opened: feat(auth) — rotate session tokens on login

     PR #218 · 6h

   Normalized eventsProvenance preservedAudit logsOne table · many views
3. 03
   Build the knowledge graphLive

   Consolidate

   Events are extracted into entities — people, repos, meetings, tickets, PRs and messages — and auto-categorized into cases anchored on the party they belong to. Each link records how it was derived (auto-keyword vs. manual), and manual links are never overwritten by automation.

   Case

   engr4m · API migration

   Auto-managed casesEntity extractionCross-tool stitchingDerivation tracked
4. 04
   Ask your own brainLive

   Recall

   Ask AI is grounded in your graph. Ask what you decided on a case, what's open for a party, or which events touched a particular ticket — and get answers cited back to the exact Slack message, calendar invite or pull request. The graph remembers so you don't have to.

   What did we decide on the engr4m API migration case?

   Two-phase ship. Phase 1 by Apr 30, phase 2 by May 15. Owner: Jane.

   Cited

   #engr4m-eng · Apr 12

   ENG-421 spec

   Sync · Apr 14

   Conversational recallCited sourcesGrounded answers
5. 05
   Where you actually workLive

   Operate

   Every daily work surface — Inbox, Today, Desk, Journal, Notes, Whiteboards, Workflows and the CLI — reads from the same graph and writes back into it. The Now card surfaces one pending event at a time, ordered by recency and recall heat; the rest stays in the graph until you snooze, acknowledge or focus it.

   Inbox

   Today / Now

   Desk

   Journal

   Notes

   Whiteboards

   Workflows

   CLI

   Every surface reads from the graph · Notes, Journal, Whiteboards and Workflows write back into it.

   Inbox · Today · DeskJournal · Notes · WhiteboardsWorkflows · CLIParty-scoped, tier-gated

Input · Encode · Consolidate · Recall · Operate