Memory Layer Alpha-1 v2.0

Persistent Intelligence.

Bridging the gap between transient inference and long-term recall with a sovereign memory architecture built for autonomous systems.

Recursive Retrieval

Multi-hop retrieval paths that allow agents to think back, validate prior decisions, and recover latent context in milliseconds.

Context Synthesis

Automated pruning of redundant tokens to maximize signal density.

Temporal Weighting

Decay functions prioritize recent logic while preserving critical long-tail memory.

Isolated Vector Shards

Isolated embedding clusters deliver vector sovereignty for sensitive agent data with E2EE shard boundaries.

LIVE TRACE

> agent-12 :: recall(memory://session/alpha-9) :: latency 8.2ms

> indexed 4 shards · compressed context 37% · trust checksum verified

> awaiting next instruction...

Technical Specs

Latency < 12ms
Embedding Custom Transformer-based
Encryption E2EE Shards
Protocol gRPC / WebSocket