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* docs: fix mindbase syntax and document as optional MCP enhancement Fix incorrect method call syntax and clarify mindbase as optional enhancement that coexists with built-in ReflexionMemory. Changes: - Fix syntax: mindbase.search_conversations() → natural language instructions that allow Claude to autonomously select tools - Clarify mindbase requires airis-mcp-gateway "recommended" profile - Document ReflexionMemory as built-in fallback (always available) - Show coexistence model: both systems work together Architecture: - ReflexionMemory (built-in): Keyword-based search, local JSONL - Mindbase (optional MCP): Semantic search, PostgreSQL + pgvector - Claude autonomously selects best available tool when needed This approach allows users to enhance error learning with mindbase when installed, while maintaining full functionality with ReflexionMemory alone. Related: #452 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add comprehensive ReflexionMemory user documentation Add user-facing documentation for the ReflexionMemory error learning system to address documentation gap identified during mindbase cleanup. New Documentation: - docs/user-guide/memory-system.md (283 lines) * Complete user guide for ReflexionMemory * How it works, storage format, usage examples * Performance benefits and troubleshooting * Manual inspection and management commands - docs/memory/reflexion.jsonl.example (15 entries) * 15 realistic example reflexion entries * Covers common scenarios: auth, DB, CORS, uploads, etc. * Reference for understanding the data format - docs/memory/README.md (277 lines) * Overview of memory directory structure * Explanation of all files (reflexion, metrics, patterns) * File management, backup, and git guidelines * Quick command reference Context: Previous mindbase cleanup removed references to non-existent external MCP server, but didn't add sufficient user-facing documentation for the actual ReflexionMemory implementation. Related: #452 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: translate Japanese text to English in documentation Address PR feedback to remove Japanese text from English documentation files. Changes: - docs/mcp/mcp-integration-policy.md: Translate headers and descriptions - docs/reference/pm-agent-autonomous-reflection.md: Translate error messages - docs/research/reflexion-integration-2025.md: Translate error messages - docs/memory/pm_context.md: Translate example keywords All Japanese text in English documentation files has been translated to English. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
284 lines
8.2 KiB
Markdown
284 lines
8.2 KiB
Markdown
# Memory System Guide
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SuperClaude Framework includes a built-in memory system called **ReflexionMemory** that helps the PM Agent learn from past mistakes and avoid repeating errors.
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## Overview
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ReflexionMemory is an automatic error learning system that:
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- **Remembers** past errors and their solutions
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- **Learns** from mistakes to prevent recurrence
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- **Searches** for similar errors when new problems occur
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- **Persists** across sessions via local file storage
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**Key Point**: ReflexionMemory is built-in and requires **no installation or setup**. It works automatically.
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## How It Works
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### 1. Automatic Error Detection
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When the PM Agent encounters an error during implementation:
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```yaml
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Error Occurs:
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→ PM Agent detects failure
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→ Analyzes root cause
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→ Documents the learning
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→ Saves to ReflexionMemory
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```
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### 2. Learning Storage
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Each error is stored as a "reflexion entry" containing:
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| Field | Description | Example |
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|-------|-------------|---------|
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| `task` | What you were trying to do | `"implement JWT authentication"` |
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| `mistake` | What went wrong | `"JWT validation failed"` |
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| `evidence` | Proof of the error | `"TypeError: Cannot read property 'verify'"` |
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| `rule` | Lesson learned | `"Always check environment variables before implementation"` |
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| `fix` | How it was solved | `"Added SUPABASE_JWT_SECRET to .env"` |
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| `tests` | Verification steps | `["Check .env.example", "Verify all env vars set"]` |
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| `status` | Current state | `"adopted"` (active rule) |
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### 3. Smart Error Lookup
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Next time a similar error occurs:
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```yaml
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New Error:
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1. ReflexionMemory searches past errors
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2. Finds similar mistakes (keyword matching)
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3. Returns known solutions
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4. PM Agent applies fix immediately
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Result:
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✅ Instant resolution
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✅ Zero additional tokens
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✅ <10% error recurrence rate
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```
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## Storage Location
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ReflexionMemory data is stored locally in your project:
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```
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<project-root>/
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└── docs/
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└── memory/
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└── reflexion.jsonl # Error learning database
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```
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**Format**: [JSON Lines](https://jsonlines.org/) - one JSON object per line
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**Persistence**: Persists across sessions, commits, and branches
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## Search Algorithm
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ReflexionMemory uses **keyword-based similarity matching**:
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1. Extract keywords from current error message
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2. Compare with keywords from past errors
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3. Calculate overlap ratio: `overlap = (matching_keywords) / (total_keywords)`
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4. Return entries with >50% overlap
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5. Sort by timestamp (most recent first)
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**Example**:
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```python
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Current error: "JWT token validation failed missing secret"
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Past error: "JWT validation failed secret not found"
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Overlap: 7/8 keywords match = 87.5% similarity ✅
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```
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## User Interaction
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### Fully Automatic (Default)
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ReflexionMemory works transparently:
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- ✅ Auto-loads at session start
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- ✅ Auto-searches when errors occur
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- ✅ Auto-saves new learnings
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- ✅ No explicit commands needed
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### Manual Inspection (Optional)
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You can view the memory file directly:
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```bash
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# View all learnings
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cat docs/memory/reflexion.jsonl | jq
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# Search for specific topic
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cat docs/memory/reflexion.jsonl | jq 'select(.task | contains("auth"))'
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# Count total learnings
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wc -l docs/memory/reflexion.jsonl
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```
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### Managing Entries
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**Clear all memory** (use with caution):
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```bash
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rm docs/memory/reflexion.jsonl
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```
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**Remove specific entry**: Edit the file manually and delete the line
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**Mark as obsolete**: Change `"status": "adopted"` to `"status": "deprecated"`
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## Integration with PM Agent
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### When It's Used
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ReflexionMemory activates during:
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1. **Error Recovery**: When implementation fails
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2. **Pre-Implementation**: Checking for known pitfalls
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3. **Root Cause Analysis**: Investigating systemic issues
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### Workflow Example
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```yaml
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Scenario: User asks to implement OAuth login
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Step 1 - Pre-Check:
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PM Agent: "Checking past OAuth implementations..."
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ReflexionMemory: Found 2 similar tasks
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PM Agent: "⚠️ Warning: Past mistake - forgot to set OAUTH_SECRET"
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Step 2 - Implementation:
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PM Agent: Implements OAuth + remembers to check env vars
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Result: Success on first try ✅
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Step 3 - If Error Occurs:
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PM Agent: "Error: OAUTH_REDIRECT_URL not configured"
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ReflexionMemory: No similar error found
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PM Agent: Investigates, fixes, documents learning
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ReflexionMemory: Saves new entry for future reference
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```
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## Performance Benefits
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### Token Efficiency
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- **With ReflexionMemory**: 500 tokens (direct solution lookup)
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- **Without Memory**: 2-10K tokens (full investigation needed)
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- **Savings**: 75-95% token reduction on known errors
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### Time Savings
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- **Known errors**: <30 seconds (instant solution)
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- **First occurrence**: 5-15 minutes (investigation + learning)
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- **Recurrence rate**: <10% (learns from mistakes)
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## File Format Reference
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See `docs/memory/reflexion.jsonl.example` for sample entries.
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Each line is a complete JSON object:
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```json
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{"ts": "2025-10-30T14:23:45+09:00", "task": "implement auth", "mistake": "JWT validation failed", "evidence": "TypeError: secret undefined", "rule": "Check env vars before auth implementation", "fix": "Added JWT_SECRET to .env", "tests": ["Verify .env vars", "Test JWT signing"], "status": "adopted"}
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```
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## Future Enhancements
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Current: **Keyword-based search** (50% overlap threshold)
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Planned: **Semantic search** upgrade
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- Use embeddings for similarity
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- Support natural language queries
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- Achieve 90% token reduction (industry benchmark)
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- Optional vector database integration
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## Comparison with Other Systems
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| Feature | ReflexionMemory | Mindbase (Planned) | Mem0/Letta |
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|---------|-----------------|-------------------|------------|
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| **Setup** | Built-in | Never implemented | External install |
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| **Storage** | Local JSONL | N/A | PostgreSQL/Vector DB |
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| **Search** | Keyword (50%) | N/A | Semantic |
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| **Scope** | Errors only | N/A | Full memory |
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| **Cost** | Free | N/A | Infrastructure |
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**Why ReflexionMemory**: Focused, efficient, and requires zero setup.
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## Troubleshooting
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### Memory file not found
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If `docs/memory/reflexion.jsonl` doesn't exist:
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- ✅ Normal on first run
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- ✅ Created automatically on first error
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- ✅ No action needed
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### Entries not being used
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Check:
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1. Is the error really similar? (View entries manually)
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2. Is `status: "adopted"`? (Deprecated entries are ignored)
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3. Is keyword overlap >50%? (May need more specific error messages)
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### File growing too large
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ReflexionMemory files rarely exceed 1MB. If needed:
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1. Archive old entries: `mv reflexion.jsonl reflexion-archive-2025.jsonl`
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2. Keep recent entries: `tail -100 reflexion-archive-2025.jsonl > reflexion.jsonl`
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### Corrupted JSON
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If you manually edit and break the JSON format:
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```bash
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# Validate each line
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cat docs/memory/reflexion.jsonl | while read line; do echo "$line" | jq . || echo "Invalid: $line"; done
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# Remove invalid lines
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cat docs/memory/reflexion.jsonl | while read line; do echo "$line" | jq . >/dev/null 2>&1 && echo "$line"; done > fixed.jsonl
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mv fixed.jsonl docs/memory/reflexion.jsonl
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```
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## Best Practices
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### For Users
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1. **Let it work automatically** - Don't overthink it
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2. **Review learnings periodically** - Understand what patterns emerge
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3. **Keep error messages clear** - Better search matching
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4. **Don't delete blindly** - Old learnings can be valuable
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### For Contributors
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1. **Use structured error messages** - Consistent keywords improve matching
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2. **Document root causes** - Not just symptoms
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3. **Include verification steps** - Make fixes reproducible
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4. **Mark outdated entries** - Set status to "deprecated" instead of deleting
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## Related Documentation
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- **Implementation**: `superclaude/core/pm_init/reflexion_memory.py`
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- **Research**: `docs/research/reflexion-integration-2025.md`
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- **PM Agent Integration**: `superclaude/agents/pm-agent.md`
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- **Architecture**: `docs/reference/pm-agent-autonomous-reflection.md`
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## Quick Reference
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```bash
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# View all learnings
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cat docs/memory/reflexion.jsonl | jq
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# Search for auth-related errors
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grep -i "auth" docs/memory/reflexion.jsonl | jq
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# Count learnings
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wc -l docs/memory/reflexion.jsonl
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# Latest 5 errors
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tail -5 docs/memory/reflexion.jsonl | jq
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# Check for duplicates (same mistake)
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cat docs/memory/reflexion.jsonl | jq -r '.mistake' | sort | uniq -c | sort -rn
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```
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---
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**Questions?** See the [FAQ](../FAQ.md) or open an issue on GitHub.
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