How It Works

From scattered work to one living memory

Four steps to stop hunting across tools and start asking once. Most teams are live in minutes.

Four steps, clearer answers

Connect what you already use, let Saga remember it, then ask with sources attached.

01
Connect your stack

Meet people where they already work

Authorize the tools your team already opens every day. Saga starts capturing with your existing access rules intact, no migration project required.

  • Simple install, live in minutes
  • Permissions from the source travel with the data
  • Choose what enters company memory
Minutes to set up
Connect your stack
Sources connected · Syncing
Slack
Meet
Files
02
Capture into memory

Fresh context, not last week’s export

Once sources are connected, Saga keeps listening. Chat, meetings, and files land in memory so answers reflect what just happened.

  • Past context comes in when you first connect
  • New activity keeps updating memory
  • Files you bring in join the same picture
  • Less noise, more of what the team can actually use
Memory stays current
Capture in progress
Updating company memory Live
Slack: channels and threads0%
Meet: meetings and transcripts0%
Files: uploads and attachments0%
Docs: shared pages and drafts0%
03
Make it structured

Scattered work becomes one story

Saga does not just store messages. It links people, projects, and decisions so the team can follow the thread without rebuilding context by hand.

  • People, projects, and decisions stay organized
  • Related work stays linked across sources
  • See how a topic evolved over time
  • The same memory powers chat and agents
Built automatically
Company memory
Auth Service
ADR-07AUTH-142#auth-teamIncidents
Decision: Move to JWT (ADR-07)
Jun 12, 2023Arch meetingAUTH-142
04
Ask anything

One question. The real picture.

Ask in plain language from Slack or the Saga workspace. Every answer comes with sources you can open, and stays inside what you are already allowed to see.

  • Ask from Slack or the Saga web workspace
  • Every answer cites sources you can verify
  • Results respect existing access permissions
  • Follow up without starting from a blank box
Answers in seconds
Ask anything
Why did we switch from MongoDB to Postgres last year?
Saga
The switch was decided in Q2 after performance issues on reporting queries. The full rationale is in ADR-19, and the migration notes are linked in company memory.
#eng-infra ADR-19 INFRA-204

Shared memory, not shared with everyone

Company knowledge is sensitive. Saga is built so access stays intentional.

Protected in transit
Data moving between your tools and Saga stays encrypted end to end.
Permissions preserved
People only see answers drawn from what they could already reach in the source tools.
Your data stays yours
Company data is never used to train external foundation models.
Stay in your perimeter
Enterprise teams can run Saga inside their own infrastructure when the cloud is not an option.

Your work deserves to remember everything

Give your tools one shared memory, so answers stay in context and important detail doesn't get lost in the noise. Leave your email and we'll follow up with next steps.