Files
gravl/.claude/commands/automation/session-memory.md
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clawd d81e403f01 Phase 06 Tier 1: Complete Backend Implementation - Recovery Tracking & Swap System
COMPLETED TASKS:
 06-01: Workout Swap System
   - Added swapped_from_id to workout_logs
   - Created workout_swaps table for history
   - POST /api/workouts/:id/swap endpoint
   - GET /api/workouts/available endpoint
   - Reversible swaps with audit trail

 06-02: Muscle Group Recovery Tracking
   - Created muscle_group_recovery table
   - Implemented calculateRecoveryScore() function
   - GET /api/recovery/muscle-groups endpoint
   - GET /api/recovery/most-recovered endpoint
   - Auto-tracking on workout log completion

 06-03: Smart Workout Recommendations
   - GET /api/recommendations/smart-workout endpoint
   - 7-day workout analysis algorithm
   - Recovery-based filtering (>30% threshold)
   - Top 3 recommendations with context
   - Context-aware reasoning messages

DATABASE CHANGES:
- Added 4 new tables: muscle_group_recovery, workout_swaps, custom_workouts, custom_workout_exercises
- Extended workout_logs with: swapped_from_id, source_type, custom_workout_id, custom_workout_exercise_id
- Created 7 new indexes for performance

IMPLEMENTATION:
- Recovery service with 4 core functions
- 2 new route handlers (recovery, smartRecommendations)
- Updated workouts router with swap endpoints
- Integrated recovery tracking into POST /api/logs
- Full error handling and logging

TESTING:
- Test file created: /backend/test/phase-06-tests.js
- Ready for E2E and staging validation

STATUS: Ready for frontend integration and production review
Branch: feature/06-phase-06
2026-03-06 20:54:03 +01:00

1.7 KiB

Cross-Session Memory

Purpose

Maintain context and learnings across Claude Code sessions for continuous improvement.

Memory Features

1. Automatic State Persistence

At session end, automatically saves:

  • Active agents and specializations
  • Task history and patterns
  • Performance metrics
  • Neural network weights
  • Knowledge base updates

2. Session Restoration

// Using MCP tools for memory operations
mcp__claude-flow__memory_usage({
  "action": "retrieve",
  "key": "session-state",
  "namespace": "sessions"
})

// Restore swarm state
mcp__claude-flow__context_restore({
  "snapshotId": "sess-123"
})

Fallback with npx:

npx claude-flow hook session-restore --session-id "sess-123"

3. Memory Types

Project Memory:

  • File relationships
  • Common edit patterns
  • Testing approaches
  • Build configurations

Agent Memory:

  • Specialization levels
  • Task success rates
  • Optimization strategies
  • Error patterns

Performance Memory:

  • Bottleneck history
  • Optimization results
  • Token usage patterns
  • Efficiency trends

4. Privacy & Control

// List memory contents
mcp__claude-flow__memory_usage({
  "action": "list",
  "namespace": "sessions"
})

// Delete specific memory
mcp__claude-flow__memory_usage({
  "action": "delete",
  "key": "session-123",
  "namespace": "sessions"
})

// Backup memory
mcp__claude-flow__memory_backup({
  "path": "./backups/memory-backup.json"
})

Manual control:

# View stored memory
ls .claude-flow/memory/

# Disable memory
export CLAUDE_FLOW_MEMORY_PERSIST=false

Benefits

  • 🧠 Contextual awareness
  • 📈 Cumulative learning
  • Faster task completion
  • 🎯 Personalized optimization