memory-management

Agent memory persistence is managed through a tiered architecture using a five-gate knowledge filtering system that ensures only high-value, non-redundant information is stored. It actively prevents context window bloat and hallucinations by compressing stale session logs.

The five-gate knowledge filter works by rigorously evaluating information before persisting it to long-term storage, ensuring only non-redundant, high-value data passes through. This mechanism directly prevents memory bloat and maintains reliable information retrieval.

Yes, local file system access is required to manage agent memory persistence because the system maintains local brain, memory, and archive directories. These local directories are synced with external databases to organize data into five distinct tiers.

The best way to compress stale session logs is by running a memory management protocol that audits memory files and compresses logs older than fourteen days. This automatically moves outdated data into cold storage archives.

Confidence scoring and temporal decay automatically manage the reliability of stored facts by applying verification triggers and reducing confidence over time. This ensures that outdated or unverified information naturally degrades within the memory architecture.