SuperClaude/docs/user-guide/session-management.md
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Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
2025-10-15 21:07:39 +05:30

11 KiB

Session Management Guide

SuperClaude provides persistent session management through the Serena MCP server, enabling true context preservation across Claude Code conversations and long-term project continuity.

Core Session Commands with Persistent Memory

/sc:load - Context Loading with Persistent Memory

Purpose: Initialize session with project context and persistent memory from previous sessions
MCP Integration: Triggers Serena MCP to read stored project memories
Syntax: /sc:load [project_path]

What Happens:

  • Serena MCP reads persistent memory files from previous sessions
  • Project context is restored from stored memories
  • Previous decisions, patterns, and progress are loaded
  • Session state is initialized with historical context

Use Cases:

# Load existing project context from persistent memory
/sc:load src/

# Resume specific project work with full history
/sc:load "authentication-system"

# Initialize with codebase analysis and previous insights
/sc:load . --analyze

/sc:save - Session Persistence to Memory

Purpose: Save current session state and decisions to persistent memory
MCP Integration: Triggers Serena MCP to write memory files
Syntax: /sc:save "session_description"

What Happens:

  • Current context and decisions are written to Serena memory
  • Project state and progress are persisted across conversations
  • Key insights and patterns are stored for future sessions
  • Session summary is created with timestamp for retrieval

Use Cases:

# Save completed feature work for future reference
/sc:save "user authentication implemented with JWT"

# Checkpoint during complex work
/sc:save "API design phase complete, ready for implementation"

# Store architectural decisions permanently
/sc:save "microservices architecture decided, service boundaries defined"

/sc:reflect - Progress Assessment with Memory Context

Purpose: Analyze current progress against stored memories and validate session completeness
MCP Integration: Uses Serena MCP to compare current state against stored memories
Syntax: /sc:reflect [--scope project|session]

What Happens:

  • Serena MCP reads previous memories and current context
  • Progress is assessed against stored goals and milestones
  • Gaps and next steps are identified using historical context
  • Session completeness is validated against project memory

Use Cases:

# Assess project progress against stored milestones
/sc:reflect --scope project

# Validate current session completeness
/sc:reflect

# Check if ready to move to next phase based on memory
/sc:reflect --scope session

Persistent Memory Architecture

How Serena MCP Enables True Persistence

Memory Storage:

  • Session contexts stored as structured memory files
  • Project decisions and architectural patterns preserved permanently
  • Code analysis results and insights retained across conversations
  • Progress tracking and milestone data maintained long-term

Cross-Session Continuity:

  • Previous session context automatically available in new conversations
  • Decisions and rationale preserved and accessible across conversations
  • Learning from past patterns and solutions maintained
  • Consistent project understanding maintained indefinitely

Memory Types:

  • Project Memories: Long-term project context and architecture
  • Session Memories: Specific conversation outcomes and decisions
  • Pattern Memories: Reusable solutions and architectural patterns
  • Progress Memories: Milestone tracking and completion status

Session Lifecycle Patterns with Persistence

New Project Initialization

# 1. Start fresh project
/sc:brainstorm "e-commerce platform requirements"

# 2. Save initial decisions to persistent memory
/sc:save "project scope and requirements defined"

# 3. Begin implementation planning
/sc:workflow "user authentication system"

# 4. Save architectural decisions permanently
/sc:save "auth architecture: JWT + refresh tokens + rate limiting"

Resuming Existing Work (Cross-Conversation)

# 1. Load previous context from persistent memory
/sc:load "e-commerce-project"

# 2. Assess current state against stored progress
/sc:reflect --scope project  

# 3. Continue with next phase using stored context
/sc:implement "payment processing integration"

# 4. Save progress checkpoint to memory
/sc:save "payment system integrated with Stripe API"

Long-Term Project Management

# Weekly checkpoint pattern with persistence
/sc:load project-name
/sc:reflect --scope project
# ... work on features ...
/sc:save "week N progress: features X, Y, Z completed"

# Phase completion pattern with memory
/sc:reflect --scope project
/sc:save "Phase 1 complete: core authentication and user management"
/sc:workflow "Phase 2: payment and order processing"

Cross-Conversation Continuity

Starting New Conversations with Persistence

When starting a new Claude Code conversation, the persistent memory system allows:

  1. Automatic Context Restoration

    /sc:load project-name
    # Automatically restores all previous context, decisions, and progress
    
  2. Progress Continuation

    • Previous session decisions are immediately available
    • Architectural patterns and code insights are preserved
    • Project history and rationale are maintained
  3. Intelligent Context Building

    • Serena MCP provides relevant memories based on current work
    • Past solutions and patterns inform new implementations
    • Project evolution is tracked and understood

Memory Optimization

Effective Memory Usage:

  • Use descriptive, searchable memory names
  • Include project phase and timestamp context
  • Reference specific features or architectural decisions
  • Make future retrieval intuitive

Memory Content Strategy:

  • Store decisions and rationale, not just outcomes
  • Include alternative approaches considered
  • Document integration patterns and dependencies
  • Preserve learning and insights for future reference

Memory Lifecycle Management:

  • Regular cleanup of outdated memories
  • Consolidation of related session memories
  • Archiving of completed project phases
  • Pruning of obsolete architectural decisions

Best Practices for Persistent Sessions

Session Start Protocol

  1. Always begin with /sc:load for existing projects
  2. Use /sc:reflect to understand current state from memory
  3. Plan work based on persistent context and stored patterns
  4. Build on previous decisions and architectural choices

Session End Protocol

  1. Use /sc:reflect to assess completeness against stored goals
  2. Save key decisions with /sc:save for future sessions
  3. Document next steps and open questions in memory
  4. Preserve context for seamless future continuation

Memory Quality Maintenance

  • Use clear, descriptive memory names for easy retrieval
  • Include context about decisions and alternative approaches
  • Reference specific code locations and patterns
  • Maintain consistency in memory structure across sessions

Integration with Other SuperClaude Features

MCP Server Coordination

  • Serena MCP: Provides the persistent memory infrastructure
  • Sequential MCP: Uses stored memories for enhanced complex analysis
  • Context7 MCP: References stored patterns and documentation approaches
  • Morphllm MCP: Applies stored refactoring patterns consistently

Agent Collaboration with Memory

  • Agents access persistent memories for enhanced context
  • Previous specialist decisions are preserved and referenced
  • Cross-session agent coordination through shared memory
  • Consistent specialist recommendations based on project history

Command Integration with Persistence

  • All /sc: commands can reference and build on persistent context
  • Previous command outputs and decisions are available across sessions
  • Workflow patterns are stored and reusable
  • Implementation history guides future command decisions

Troubleshooting Persistent Sessions

Common Issues

Memory Not Loading:

  • Verify Serena MCP is configured and running properly
  • Check memory file permissions and accessibility
  • Ensure consistent project naming conventions
  • Validate memory file integrity and format

Context Loss Between Sessions:

  • Always use /sc:save before ending sessions
  • Use descriptive memory names for easy retrieval
  • Regular /sc:reflect to validate memory completeness
  • Backup important memory files periodically

Memory Conflicts:

  • Use timestamped memory names for version control
  • Regular cleanup of obsolete memories
  • Clear separation between project and session memories
  • Consistent memory naming conventions across sessions

Quick Fixes

Reset Session State:

/sc:load --fresh  # Start without previous context
/sc:reflect       # Assess current state

Memory Cleanup:

/sc:reflect --cleanup  # Remove obsolete memories
/sc:save --consolidate # Merge related memories

Context Recovery:

/sc:load --recent     # Load most recent memories
/sc:reflect --repair  # Identify and fix context gaps

Advanced Persistent Session Patterns

Multi-Phase Projects

  • Use phase-specific memory naming for organization
  • Maintain architectural decision continuity across phases
  • Cross-phase dependency tracking through persistent memory
  • Progressive complexity management with historical context

Team Collaboration

  • Shared memory conventions and naming standards
  • Decision rationale preservation for team context
  • Integration pattern documentation accessible to all team members
  • Consistent code style and architecture enforcement through memory

Long-Term Maintenance

  • Memory archiving strategies for completed projects
  • Pattern library development through accumulated memories
  • Reusable solution documentation built over time
  • Knowledge base building through persistent memory accumulation

Key Benefits of Persistent Session Management

Project Continuity

  • Seamless work continuation across multiple conversations
  • No context loss between Claude Code sessions
  • Preserved architectural decisions and technical rationale
  • Long-term project evolution tracking

Enhanced Productivity

  • Reduced need to re-explain project context
  • Faster startup time for continued work
  • Building on previous insights and patterns
  • Cumulative project knowledge growth

Quality Consistency

  • Consistent architectural patterns across sessions
  • Preserved code quality decisions and standards
  • Reusable solutions and best practices
  • Maintained technical debt awareness

Key Takeaway: Session management through Serena MCP transforms SuperClaude from single-conversation assistance to persistent project partnership, maintaining context, decisions, and learning across all development phases and Claude Code conversations.