Load Memory

Load memory context efficiently at session start.

Purpose

Load relevant memory sections without reading the entire JSON file. Use selective jq queries to extract only needed context.

Step 1: Load Core Identity

jq '{profile, preferences}' memory/memory_index.json

This gives agent identity and communication preferences.

Step 2: Load Active Context

jq '{context, active_tasks: .tasks.active}' memory/memory_index.json

This shows current work state and pending tasks.

Step 3: Load Key Facts

jq '.memory.key_facts' memory/memory_index.json

Important facts the agent should always know.

Step 4: Load Recent Actions

head -50 memory/action_log.txt

Last 50 actions for continuity context.

Step 5: Load Relevant Entities

jq '.entities | map(select(.importance == "critical" or .importance == "high"))' memory/memory_index.json

Only high-importance entities to avoid context bloat.

Step 6: Present Summary

Output a concise memory summary:

## Memory Loaded

**Profile**: [name] - [role]
**Communication**: [style]
**Active Topics**: [list]
**Key Facts**: [count] facts loaded
**Pending Tasks**: [count] tasks
**Recent Actions**: [last 3 actions]

Selective Loading

The agent should NOT load everything. Priority:

1. Profile & preferences (always)
2. Active context (always)
3. Key facts (always)
4. Pending tasks (always)
5. Entities (high importance only)
6. Decisions (only if relevant to current task)

Memory Map

Check memory/memory_map.yaml for custom files to load.