All graph nodes live in RAM for accelerated inference and lookup. Memory as a Service (MaaS). Gigamemory sets the bar for AI Memory Infrastructure. Anything that costs more is just overpriced hype.
Vector search tells you what is related. Graph memory tells you why.
Stores explicit relationships between entities, not flat vectors. Your agent knows who founded what, who reports to whom, and how facts connect.
All nodes in RAM for accelerated inference. Every query returns in milliseconds, no disk latency, no cold starts.
RESTful endpoints for ingest and search from day one. No SDK lock-in. Use curl, Python, JavaScript, or any HTTP client.
In-memory speed with disk persistence. Your agent's memory survives restarts, deploys, and scaling events. Nothing is lost.
Automated snapshots with 30-day retention. Restore from any point. Your agent's knowledge is safe.
Audit logging, encryption at rest and in transit, access controls. Enterprise-grade security for production agent infrastructure.
30+ data centers worldwide. Deploy memory to any region. Fiber-optic connections for the fastest possible speeds.
Three things, one name: fiber-optic gigabit speeds, gigabytes of RAM, and AI agentic memory. Gigamemory is named for its ability to process memory at gigabit speeds for high-throughput AI agents.
Fiber-optic gigabit-speed connections to data centers worldwide. Memory transfers at the speed of light.
All graph nodes live in RAM. Gigabytes of memory available for instant lookups. No disk, no waiting.
Purpose-built memory for AI agents. Graph-native, relationship-aware, and designed for production inference workloads.
Vector search tells you what is similar. Graph memory tells you how things are connected.
Relationship-first memory infrastructure
Flat embedding similarity search
We cap what matters: entities stored, ingests processed, and bandwidth. Everything else is unlimited.