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Memory Store

Shared context for all of your team's agents.

One memory for your team's agents. Turn every meeting, Claude session, and Slack chat into context your team and agents share.
Active Founders
Ishita Jindal
Ishita Jindal
Founder
Building a memory layer for all your AI agents with Memory Store. Spent a few years building an open source agent workflow orchestrator (Julep AI) and scaled that to 7K GitHub stars. Have experience scaling a couple of the biggest consumer products in India and was a data scientist at IBM prior to that.
Diwank Singh
Diwank Singh
Founder
'13 Thiel Fellow; Memory Store -- a Dropbox for your agents' context
Company Launches
Memory Store - Your company's brain
See original launch post

tl;dr: We collect insights from your team’s Slack, Gmail, and Granola, and turn them into a living memory accessible to every team member and agent. Book a call here.

The Problem

When AI makes your team 100x faster, it also creates 100x more things to keep track of. Decisions lost in Slack channels, insights buried in some Granola transcript, Claude chats, Codex sessions, and people's heads.

Memory is the bottleneck now, because your teammates and agents both need the right context to move fast. This is why we built Memory Store.

https://youtu.be/vncrqtgEPdY

Book a call here.

How we solve it

We collect insights from Slack, Gmail, Granola, and more; and synthesize them into a company brain and keep it up-to-date. Any agent that supports MCP can connect and access it (including ChatGPT Agents, Claude Cowork, Codex, OpenClaw, and 100s more) .

We took this one step further with live “Briefs” — living docs that update themselves whenever new memories are created! For example, we use them ourselves to track:

  • Decision Logs
  • Team Status Updates
  • Customer Asks

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Book a call here.

About us

We’re Diwank and Ishita. Diwank is a Thiel Fellow who's been building AI products since 2012 - his previous company powers phone ordering for Domino's, Wingstop, and Buffalo Wild Wings. Ishita ran products that served millions of users at Jar and Lenskart.

We have years of experience building agents for enterprises. We also built Julep, an open-source agent orchestrator with 7K+ GitHub stars, where we kept seeing the same bottleneck across every agent: memory. So we built Memory Store! 🙂

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We’d love to hear from you! ❤️
Book a call here.

Memory Store
Batch:Spring 2026
Team Size:4
Status:
Active
Location:San Francisco
Primary Partner:Tom Blomfield