SuperClaude/docs/User-Guide/session-management.md
kazuki nakai 050d5ea2ab
refactor: PEP8 compliance - directory rename and code formatting (#425)
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration

Problem: Infrastructure configuration changes (e.g., Traefik port settings)
were being made based on assumptions without consulting official documentation,
violating the 'Evidence > assumptions' principle in PRINCIPLES.md.

Solution:
- Added Infrastructure Configuration Validation section to MODE_Orchestration.md
- Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.)
- Enforces MODE_DeepResearch activation for investigation
- BLOCKS assumption-based configuration changes

Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default)

This prevents production outages from infrastructure misconfiguration by ensuring
all technical recommendations are backed by official documentation.

* feat: Add PM Agent (Project Manager Agent) for seamless orchestration

Introduces PM Agent as the default orchestration layer that coordinates
all sub-agents and manages workflows automatically.

Key Features:
- Default orchestration: All user interactions handled by PM Agent
- Auto-delegation: Intelligent sub-agent selection based on task analysis
- Docker Gateway integration: Zero-token baseline with dynamic MCP loading
- Self-improvement loop: Automatic documentation of patterns and mistakes
- Optional override: Users can specify sub-agents explicitly if desired

Architecture:
- Agent spec: SuperClaude/Agents/pm-agent.md
- Command: SuperClaude/Commands/pm.md
- Updated docs: README.md (15→16 agents), agents.md (new Orchestration category)

User Experience:
- Default: PM Agent handles everything (seamless, no manual routing)
- Optional: Explicit --agent flag for direct sub-agent access
- Both modes available simultaneously (no user downside)

Implementation Status:
-  Specification complete
-  Documentation complete
-  Prototype implementation needed
-  Docker Gateway integration needed
-  Testing and validation needed

Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration)

* feat: Add Agent Orchestration rules for PM Agent default activation

Implements PM Agent as the default orchestration layer in RULES.md.

Key Changes:
- New 'Agent Orchestration' section (CRITICAL priority)
- PM Agent receives ALL user requests by default
- Manual override with @agent-[name] bypasses PM Agent
- Agent Selection Priority clearly defined:
  1. Manual override → Direct routing
  2. Default → PM Agent → Auto-delegation
  3. Delegation based on keywords, file types, complexity, context

User Experience:
- Default: PM Agent handles everything (seamless)
- Override: @agent-[name] for direct specialist access
- Transparent: PM Agent reports delegation decisions

This establishes PM Agent as the orchestration layer while
respecting existing auto-activation patterns and manual overrides.

Next Steps:
- Local testing in agiletec project
- Iteration based on actual behavior
- Documentation updates as needed

* refactor(pm-agent): redesign as self-improvement meta-layer

Problem Resolution:
PM Agent's initial design competed with existing auto-activation for task routing,
creating confusion about orchestration responsibilities and adding unnecessary complexity.

Design Change:
Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents
complete tasks, focusing on:
- Post-implementation documentation and pattern recording
- Immediate mistake analysis with prevention checklists
- Monthly documentation maintenance and noise reduction
- Pattern extraction and knowledge synthesis

Two-Layer Orchestration System:
1. Task Execution Layer: Existing auto-activation handles task routing (unchanged)
2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new)

Files Modified:
- SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design
  - Category: orchestration → meta
  - Triggers: All user interactions → Post-implementation, mistakes, monthly
  - Behavioral Mindset: Continuous learning system
  - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE

- SuperClaude/Core/RULES.md: Agent Orchestration section updated
  - Split into Task Execution Layer + Self-Improvement Layer
  - Added orchestration flow diagram
  - Clarified PM Agent activates AFTER task completion

- README.md: Updated PM Agent description
  - "orchestrates all interactions" → "ensures continuous learning"

- Docs/User-Guide/agents.md: PM Agent section rewritten
  - Section: Orchestration Agent → Meta-Layer Agent
  - Expertise: Project orchestration → Self-improvement workflow executor
  - Examples: Task coordination → Post-implementation documentation

- PR_DOCUMENTATION.md: Comprehensive PR documentation added
  - Summary, motivation, changes, testing, breaking changes
  - Two-layer orchestration system diagram
  - Verification checklist

Integration Validated:
Tested with agiletec project's self-improvement-workflow.md:
 PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases
 Complements (not competes with) existing workflow
 agiletec workflow defines WHAT, PM Agent defines WHO executes it

Breaking Changes: None
- Existing auto-activation continues unchanged
- Specialist agents unaffected
- User workflows remain the same
- New capability: Automatic documentation and knowledge maintenance

Value Proposition:
Transforms SuperClaude into a continuously learning system that accumulates
knowledge, prevents recurring mistakes, and maintains fresh documentation
without manual intervention.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: add Claude Code conversation history management research

Research covering .jsonl file structure, performance impact, and retention policies.

Content:
- Claude Code .jsonl file format and message types
- Performance issues from GitHub (memory leaks, conversation compaction)
- Retention policies (consumer vs enterprise)
- Rotation recommendations based on actual data
- File history snapshot tracking mechanics

Source: Moved from agiletec project (research applicable to all Claude Code projects)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: add Development documentation structure

Phase 1: Documentation Structure complete

- Add Docs/Development/ directory for development documentation
- Add ARCHITECTURE.md - System architecture with PM Agent meta-layer
- Add ROADMAP.md - 5-phase development plan with checkboxes
- Add TASKS.md - Daily task tracking with progress indicators
- Add PROJECT_STATUS.md - Current status dashboard and metrics
- Add pm-agent-integration.md - Implementation guide for PM Agent mode

This establishes comprehensive documentation foundation for:
- System architecture understanding
- Development planning and tracking
- Implementation guidance
- Progress visibility

Related: #pm-agent-mode #documentation #phase-1

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: PM Agent session lifecycle and PDCA implementation

Phase 2: PM Agent Mode Integration (Design Phase)

Commands/pm.md updates:
- Add "Always-Active Foundation Layer" concept
- Add Session Lifecycle (Session Start/During Work/Session End)
- Add PDCA Cycle (Plan/Do/Check/Act) automation
- Add Serena MCP Memory Integration (list/read/write_memory)
- Document auto-activation triggers

Agents/pm-agent.md updates:
- Add Session Start Protocol (MANDATORY auto-activation)
- Add During Work PDCA Cycle with example workflows
- Add Session End Protocol with state preservation
- Add PDCA Self-Evaluation Pattern
- Add Documentation Strategy (temp → patterns/mistakes)
- Add Memory Operations Reference

Key Features:
- Session start auto-activation for context restoration
- 30-minute checkpoint saves during work
- Self-evaluation with think_about_* operations
- Systematic documentation lifecycle
- Knowledge evolution to CLAUDE.md

Implementation Status:
-  Design complete (Commands/pm.md, Agents/pm-agent.md)
-  Implementation pending (Core components)
-  Serena MCP integration pending

Salvaged from mistaken development in ~/.claude directory

Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: disable Serena MCP auto-browser launch

Disable web dashboard and GUI log window auto-launch in Serena MCP server
to prevent intrusive browser popups on startup. Users can still manually
access the dashboard at http://localhost:24282/dashboard/ if needed.

Changes:
- Add CLI flags to Serena run command:
  - --enable-web-dashboard false
  - --enable-gui-log-window false
- Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml)
- Aligns with AIRIS MCP Gateway integration approach

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: rename directories to lowercase for PEP8 compliance

- Rename superclaude/Agents -> superclaude/agents
- Rename superclaude/Commands -> superclaude/commands
- Rename superclaude/Core -> superclaude/core
- Rename superclaude/Examples -> superclaude/examples
- Rename superclaude/MCP -> superclaude/mcp
- Rename superclaude/Modes -> superclaude/modes

This change follows Python PEP8 naming conventions for package directories.

* style: fix PEP8 violations and update package name to lowercase

Changes:
- Format all Python files with black (43 files reformatted)
- Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml
- Fix import statements to use lowercase package name
- Add missing imports (timedelta, __version__)
- Remove old SuperClaude.egg-info directory

PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit).

* docs: add PM Agent development documentation

Add comprehensive PM Agent development documentation:
- PM Agent ideal workflow (7-phase autonomous cycle)
- Project structure understanding (Git vs installed environment)
- Installation flow understanding (CommandsComponent behavior)
- Task management system (current-tasks.md)

Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat(pm-agent): add self-correcting execution and warning investigation culture

## Changes

### superclaude/commands/pm.md
- Add "Self-Correcting Execution" section with root cause analysis protocol
- Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal
- Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute
- Document anti-patterns (retry without understanding) and correct patterns (research-first)

### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md
- Add PDCA workflow hypothesis document for PM Agent autonomous enhancement

## Rationale

PM Agent must never retry failed operations without understanding root causes.
All warnings and errors require investigation via context7/WebFetch/documentation
to ensure production-quality code and prevent technical debt accumulation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat(installer): add airis-mcp-gateway MCP server option

## Changes

- Add airis-mcp-gateway to MCP server options in installer
- Configuration: GitHub-based installation via uvx
- Repository: https://github.com/oraios/airis-mcp-gateway
- Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading

## Implementation

Added to setup/components/mcp.py self.mcp_servers dictionary with:
- install_method: github
- install_command: uvx test installation
- run_command: uvx runtime execution
- required: False (optional server)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-10-14 08:47:09 +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.