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Core System & Infrastructure

Memory System

A cognitive architecture inspired by the human brain. AIALBM utilizes a 3-layer memory system to provide context, recall, and continuous learning capabilities.

Short-Term Memory

Maintains immediate context for active conversations. Optimized for ultra-low latency access to ensure fluid responsiveness.

Long-Term Memory

Powered by Qdrant vector database. Stores vast amounts of knowledge and documents, retrievable via semantic search for indefinite periods.

Episodic Memory

Stores autobiographical events and experiences. The agent remembers 'what happened' in past sessions to build a shared history with the user.

Procedural Memory

Learns 'how to' perform tasks. Following the Memorize Coding protocols, the system internalizes workflows and coding patterns for replicated success.

Cognitive Architecture

Our memory consolidation process runs in the background, promoting important short-term details into long-term storage while pruning irrelevant noise, simulating sleep-like consolidation cycles.

memory_stream.add(interaction_data)
> Consolidating...
> Stored 4 vectors to LTM