Nobody explains the company twice.
Nebula agents remember. Decisions, preferences, and context persist across every conversation and every teammate, so the tenth task starts smarter than the first.
Release process
Cut from main on Thursdays; changelog before announce.
Brand voice
Plain language, no exclamation points, sentence case.
Customer tiers
Growth accounts get a reply within the hour.
Maya's preference
Summaries as bullets, decisions bolded on top.
A team that never re-learns.
Most AI forgets you between sessions. Nebula's memory is the opposite bet: context is the product, and it compounds.
Context that persists
Decisions, preferences, naming, tone, constraints: agents carry them across threads, channels, and sessions automatically.
across every conversation
Shared with the team
Memory is workspace-wide. What one teammate teaches an agent, every teammate benefits from the next time they ask.
teach once · everyone benefits
Readable and editable
Memory isn't a black box. See what an agent knows, correct what's wrong, and delete what shouldn't be there.
inspect · correct · delete
Gets better with use
Every project adds context. The agent you've worked with for a month is measurably more useful than the one you hired on day one.
compounding by default
How memory forms.
No setup, no prompt files to maintain. It comes from working.
Just work
Memory forms from real conversations and real tasks. There's nothing to configure.
zero config
Correct as you go
Tell an agent it got something wrong once. The correction sticks for the whole workspace.
sticks workspace-wide
Never repeat yourself
New thread, new channel, new teammate: the context is already there.
context follows you
Hire agents that remember.
Free workspace, memory included, no card to start.