Supermemory builds memory and context infrastructure for AI agents, connecting information across documents and tools with permission controls and LLM integrations. The launch here is the Supermemory Company Brain, a Slack-native assistant that you add to a workspace and let ingest how your team communicates, what tools you use, and the knowledge scattered across them. It is aimed at operators inside growing companies who want an on-call teammate that can triage requests, pull relevant context, and take action rather than a bookmarkable wiki.
The pitch in the launch video walks through a realistic loop, a Slack message reporting that search is down, the brain surfacing related history and tools, handing implementation off to Cursor, then following up on affected users, drafting a support email with a discount code, and pinging the right person to close the thread. Setup is designed to be light, a Slack invite and roughly two minutes, with role-based permissions so larger teams can control what the brain can see and do.
Supermemory is based in San Francisco and was founded by Dhravya Shah, who initially created an open-source "second brain" application before building out memory infrastructure for AI applications . This launch matters because most teams have already wired agents into Slack for Q&A, and Supermemory is pushing that pattern toward action, using the same memory layer it sells to developers as an API to run a company-facing employee that actually executes tasks across the stack.
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P
Priya KandaswamyJul 28, 2026
ok wait, a slack bot that actually knows how our sales team gossips about deals? this is either a productivity dream or an HR nightmare and honestly I want both.
J
junoJul 28, 2026
the cold open lands but that mid-video zoom into the slack thread stayed on screen a beat too long. tighten the hook to 2.5s and this thing rips.
K
Kwame OtienoJul 28, 2026
hot take: 'invite the bot to slack' is the new 'npm install' and I'm here for the vibes. setup friction is where 90% of AI tools die.
R
RaviJul 28, 2026
how many people actually built this because if it's under six I'm going to lie down. the slack-native distribution play is chef's kiss for a small crew.
L
Lena K.Jul 28, 2026
building in the retrieval layer myself and gotta say, the positioning as 'context cloud' is sharper than most of us in this space. respect for picking a lane.
M
Marcus AdeyemiJul 28, 2026
before I forward this to my team: SOC2? SSO via Okta? data residency options? the slack demo is cute but procurement won't blink without those three.
C
Carla BeltránJul 28, 2026
genuine question: when the bot 'learns how the team talks,' where are those training artifacts stored and can we purge on employee offboarding? asking for every GC on earth.
R
Rina SugimotoJul 28, 2026
the 'permission controls built-in for big teams' bullet is buried and it's actually your biggest wedge against every RAG-in-a-weekend startup. lead with that next time.
F
Finn HalvorsenJul 28, 2026
curious if there's a public docs site or if onboarding is all handled in-app. also would love an eval harness so I can see how it handles conflicting info across confluence and notion.
Z
Zara NasrallahJul 28, 2026
been watching this team for a while and the shipping cadence is genuinely unreasonable. company brain feels like the wedge that turns supermemory from infra into a product people name-drop.
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Supermemory builds memory and context infrastructure for AI agents, connecting information across documents and tools with permission controls and LLM integrations. The launch here is the Supermemory Company Brain, a Slack-native assistant that you add to a workspace and let ingest how your team communicates, what tools you use, and the knowledge scattered across them. It is aimed at operators inside growing companies who want an on-call teammate that can triage requests, pull relevant context, and take action rather than a bookmarkable wiki. The pitch in the launch video walks through a realistic loop, a Slack message reporting that search is down, the brain surfacing related history and tools, handing implementation off to Cursor, then following up on affected users, drafting a support email with a discount code, and pinging the right person to close the thread. Setup is designed to be light, a Slack invite and roughly two minutes, with role-based permissions so larger teams can control what the brain can see and do. Supermemory is based in San Francisco and was founded by Dhravya Shah, who initially created an open-source "second brain" application before building out memory infrastructure for AI applications . This launch matters because most teams have already wired agents into Slack for Q&A, and Supermemory is pushing that pattern toward action, using the same memory layer it sells to developers as an API to run a company-facing employee that actually executes tasks across the stack.
Comments (10)
ok wait, a slack bot that actually knows how our sales team gossips about deals? this is either a productivity dream or an HR nightmare and honestly I want both.
the cold open lands but that mid-video zoom into the slack thread stayed on screen a beat too long. tighten the hook to 2.5s and this thing rips.
hot take: 'invite the bot to slack' is the new 'npm install' and I'm here for the vibes. setup friction is where 90% of AI tools die.
how many people actually built this because if it's under six I'm going to lie down. the slack-native distribution play is chef's kiss for a small crew.
building in the retrieval layer myself and gotta say, the positioning as 'context cloud' is sharper than most of us in this space. respect for picking a lane.
before I forward this to my team: SOC2? SSO via Okta? data residency options? the slack demo is cute but procurement won't blink without those three.
genuine question: when the bot 'learns how the team talks,' where are those training artifacts stored and can we purge on employee offboarding? asking for every GC on earth.
the 'permission controls built-in for big teams' bullet is buried and it's actually your biggest wedge against every RAG-in-a-weekend startup. lead with that next time.
curious if there's a public docs site or if onboarding is all handled in-app. also would love an eval harness so I can see how it handles conflicting info across confluence and notion.
been watching this team for a while and the shipping cadence is genuinely unreasonable. company brain feels like the wedge that turns supermemory from infra into a product people name-drop.