Memory
Nexus Prime
Agent memory and control plane for teams that need runtime truth across tools, runs, and decisions.
Give an agentic workflow durable memory, proof, and control surfaces.
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We build the missing stack around AI agents.
Memory, compression, protocols, runtimes, and mission systems for teams building agent-native workflows.
Compression
tetris.codes
Context compression and token-efficiency infrastructure for long-running AI work.
Reduce context waste while preserving evidence-grade handoff quality.
Visit tetris.codesProtocol
Grain
AI interface and protocol layer for making agent-facing workflows legible.
Turn a messy product or workflow surface into an agent-ready interface.
Discuss a pilotRuntime
NXL
Token-efficient language and runtime experiments for AI-native execution.
Explore compact agent instructions, execution surfaces, and runtime protocols.
Discuss a pilotMissions
Phantom
AI-native product mission system for translating goals into execution packets.
Move from loose founder intent to agent-executable product missions.
Discuss a pilotThesis
Agents need more than models.
Useful agent systems need durable memory, cheaper context, legible interfaces, efficient runtimes, and mission control. Nexus-PRIME Labs builds those pieces as experiments first, then turns the durable parts into infrastructure.
Proof surface
Selective pilots
Bring one painful agent workflow.
We work with a small number of teams where memory, compression, protocols, runtimes, or mission systems are the bottleneck.