What it sells
The Memory layer for AI Agents
Business model breakdown
Buyer: who owns the budget?
UnverifiedDevelopers and engineering teams building AI agents and apps; enterprise teams for compliance.
Trigger: what makes them buy now?
UnverifiedAgents forget users between sessions; need persistent personalized memory in production.
Workflow: what inputs become what output?
Install SDK, client.add(messages, user_id) to store memories, client.search(query) to retrieve context at inference.
Economics: what it saves and how it charges
Open-source core plus hosted platform subscriptions metered by add/retrieval requests; enterprise on-prem. $24M raised, 200,000+ developers.
Distribution: how it reaches customers
Self-serve developer signup, open source (60k+ GitHub stars), docs, integrations, startup program; sales for enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 2024 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.