Memory Management

Tiered memory system that makes an AI agent a continuous collaborator across sessions.

Architecture

The memory system has six tiers, configurable per project:

Tier 1: HOT CACHE (always loaded at boot -- ~200 lines target)
+-- <primer_file>             Role, identity, constraints
+-- <boot_digest_file>        Tactical status, active tasks
+-- <boot_contract_file>      Immutable constraints
+-- <snapshot_file>           Cognitive Hologram (1 sentence per file)

Tier 2: RLM SUMMARY LEDGER (fast keyword lookup -- loaded on demand)
+-- <summary_cache_file>      Pre-generated text summaries: docs, protocols, research
                              Plugin: rlm-factory | Skill: rlm-search | Profile: project
+-- <tool_cache_file>         Pre-generated text summaries: plugins, skills, scripts
                              Plugin: rlm-factory | Skill: rlm-search | Profile: tools