What it sells
Long-term memory for AI agents.
Business model breakdown
Buyer: who owns the budget?
UnverifiedAI/agent engineering teams and platform owners; enterprises buying BYOC deployments
Trigger: what makes them buy now?
Agents forget past work, cannot connect scattered knowledge, and invent their own domain rules.
Workflow: what inputs become what output?
Install via pip/SDK or MCP, ingest data (Slack, Notion, Linear, Drive, code), build memory/knowledge graph with ontologies that agents query and update.
Economics: what it saves and how it charges
Open-core: free open source engine, usage-based cloud ($1.00 per 1M tokens plus $5 per extra workspace), enterprise BYOC engagements.
Distribution: how it reaches customers
Open source (32.1k GitHub stars, 5M+ SDK runs/month) driving self-serve cloud signup; enterprise via call.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-02-19 | — | $7.5M | — | news.google.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.