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engr4m
engrm

Encode · Consolidate · Recall

The brain for your work.

engr4m turns every message, meeting, task and pull request into one knowledge graph you can navigate.

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How engr4m works

Four stages from chaos to recall.

Every signal flows through the same pipeline. The first two stages run today; the next two are how engr4m becomes your second brain.

  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

    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 graphComing soon

    Consolidate

    Related events from different tools cluster into auto-managed topics and cases. A classifier flags what's actionable; extraction pulls follow-ups, decisions and reusable knowledge out of conversation and PR text; a decision log records why each link was made. Every suggestion stays human-in-the-loop until you confirm it.

    engr4m
    Topic
    engr4m API migration
    Auto-topics & casesCross-tool stitchingKnowledge extractionDecision log
  4. 04
    Ask your own brainComing soon

    Recall

    An AI assistant grounded in your graph. Ask what you decided about a topic, what's still open on a case, or who owes you what this week — 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 about the engr4m API migration?

    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 sourcesProactive nudges

Input · Encode · Consolidate · Recall