Memory Store provides shared context for all of a team's AI agents. It turns every meeting, Claude session, and Slack chat into context that a team and its agents share. The goal is to give agents and teammates a common, persistent memory so knowledge is not siloed across tools. The company is based in San Francisco and is part of YC's Spring 2026 batch.
Memory Store
ActiveShared context for all of your team's agents
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Shared context layer for a team's AI agents
Captures context from meetings
Captures context from Claude sessions
Captures context from Slack conversations
Persistent shared memory across tools
Common context accessible to both teammates and agents
Reduces knowledge silos across applications
Unified knowledge base for agentic workflows
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is Memory Store?
- Memory Store provides shared context for all of a team's AI agents, turning meetings, Claude sessions, and Slack chats into context the team and its agents share.
- What sources does it draw context from?
- It captures context from meetings, Claude sessions, and Slack conversations to build a shared, persistent memory.
- Why is shared context useful?
- It gives agents and teammates a common, persistent memory so knowledge is not siloed across separate tools.
- Who is Memory Store for?
- It is built for teams running multiple AI agents that need consistent, shared context across their work.
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