GBrain is for Individuals, Computer Memory is for Enterprises.

Every AI agent starts from zero

Every AI agent begins every session with a blank slate. It doesn't know which accounts are renewing, which engineering issues are blocking revenue, or what your best rep learned on yesterday's call. The models are powerful. The context is missing.

Garry Tan – Y Combinator's president – felt this acutely enough to build GBrain, a personal knowledge system he open-sourced in April 2026. Within a week, he'd indexed 10,000 markdown files, 3,000 people pages, and 13 years of calendar data into a searchable brain his AI agents read before every response and write to after every conversation.

GBrain validates an important thesis: memory that compounds beats memory that just retrieves. We've been proving the same thesis in production – at enterprise scale – since day one.

What GBrain does well

GBrain stores knowledge as markdown files in a git repository, backed by Postgres and pgvector for hybrid search. An AI agent reads the brain before answering, updates it after learning something new, and runs a nightly "dream cycle" that enriches entity pages and consolidates memory while the user sleeps.

The architecture is elegant: compiled truth on top (rewritten as evidence changes), append-only timeline below (preserving the proof trail). Entity-centric pages for people, companies, and concepts create cross-references that feel like a lightweight knowledge graph.

For an individual power user, a VC managing thousands of founder relationships, it works. Tan's own numbers back that up: 17,888 pages, 4,383 contacts, 723 companies, all searchable in milliseconds.

Where enterprises need something different

GBrain is a personal brain. Computer Memory is an organizational one. That distinction changes everything.

Computer Memory is a patented, AI-native knowledge graph built through AirSync – DevRev's two-way sync engine that connects to Salesforce, Jira, Zendesk, Slack, Google Workspace, and 50+ other systems of record. This isn't indexing or crawling. AirSync reads and writes, keeping everything in continuous, real-time sync.

Where GBrain relies on markdown files and git as its source of truth, Computer Memory maps relationships between customers, products, teams, and every interaction between them – structured and unstructured – into a single connected layer. Permissions are enforced at every node. Every person sees only what they're supposed to see.

Three architectural differences matter at scale:

• Shared, not personal. GBrain compounds knowledge for one person. Computer Memory compounds knowledge across an entire organization. When a support agent resolves a ticket, a product manager sees the pattern. When engineering ships a fix, every affected customer's context updates automatically.
• Two-way sync, not manual ingestion. GBrain offers integration recipes for Gmail, Calendar, and meeting transcripts – but the user or agent drives ingestion. Computer Memory syncs bidirectionally and continuously. No cron jobs. No dream cycles. The data is live.
• Enterprise-grade permissions, not open access. GBrain stores everything in a flat markdown repo anyone with access can read. Computer Memory preserves the permission model of every connected system – SOC 2 compliant, GDPR ready, individual-level access controls for personal data.

Both prove the same principle

Memory that compounds beats memory that just retrieves. GBrain proves it for individuals. Computer Memory proves it for enterprises – where the stakes are higher, the data is messier, and the consequences of getting it wrong reach customers.

The question isn't whether your AI needs memory. It does. The question is whether it needs a personal notebook – or an organizational brain.

See the Computer Memory in production →