This checklist breaks down the documentation updates needed across 5 workplans of completed implementation.
| Feature | Status | Where | Effort | Priority |
|---|---|---|---|---|
| Pagination | Implemented | TOOL_SELECTION_GUIDE.md, CONFIGURATION.md, README.md | 2-3h | P1 |
| Cycle Detection | Implemented | CONFIGURATION.md, TROUBLESHOOTING.md, README.md | 2-3h | P1 |
| Health Check | Implemented | TROUBLESHOOTING.md, CONFIGURATION.md | 2-3h | P1 |
| Exception Hierarchy | Implemented | EXCEPTION_REFERENCE.md (new file) | 2h | P4 |
| Server Refactoring | Implemented | ADR 010 (already exists) | — | ✅ Done |
| Datetime Migration | Implemented | No user docs needed | — | ✅ Done |
| Structured Context | Implemented | TOOL_SELECTION_GUIDE.md | 1h | P3 |
Location: /docs/TOOL_SELECTION_GUIDE.md
What to Add (insert in "Tool Profiles and Availability" section):
## Pagination Support
All search tools support result pagination to handle large result sets efficiently.
### Pagination Parameters
Available in: `search_memories`, `recall_memories`, `get_recent_activity`
- **limit**: Maximum results per page (1-1000, default: 50)
- **offset**: Number of results to skip before returning (default: 0)
### PaginatedResult Response
When pagination is used, results include:
- **results**: Array of matching items (limited by `limit` parameter)
- **total_count**: Total number of items matching the query
- **limit**: The limit used in this query
- **offset**: The offset used in this query
- **has_more**: Boolean indicating whether more results are available
- **next_offset**: Offset value for the next page (null if no more pages)
### Example Usage
User: "Find all authentication-related solutions, showing 25 per page"
Step 1: recall_memories(query="authentication", memory_types=["solution"], limit=25, offset=0) → Returns: {results: [...25 items...], total_count: 87, has_more: true, next_offset: 25}
Step 2: recall_memories(query="authentication", memory_types=["solution"], limit=25, offset=25) → Returns: {results: [...25 items...], total_count: 87, has_more: true, next_offset: 50}
### When to Use Pagination
- Large result sets (100+ items)
- UI with page-based navigation
- Reducing memory consumption in client applications
- Batch processing (process results in chunks)
Checklist:
- Add pagination section to TOOL_SELECTION_GUIDE.md
- Include parameter descriptions
- Add example showing pagination flow
- Document response format
- Note which tools support pagination
Location: /docs/CONFIGURATION.md (add to "Environment Variables" section)
What to Add:
# Cycle Detection
## MEMORY_ALLOW_CYCLES
Controls whether the system allows circular relationship chains.
```bash
export MEMORY_ALLOW_CYCLES=false # Default: prevent cycles (recommended)
export MEMORY_ALLOW_CYCLES=true # Allow circular relationshipsA cycle occurs when a chain of relationships forms a loop:
Memory A --RELATES_TO--> Memory B --RELATES_TO--> Memory C --RELATES_TO--> Memory A
By default, MemoryGraph prevents cycles to:
- Prevent infinite traversal during graph queries
- Maintain relationship integrity
- Ensure predictable query results
- Avoid recursive loops in relationship analysis
When a cycle would be created, you'll receive an error:
Error: Would create a cycle in the RELATES_TO relationship graph
Suggestion: Check your relationship chain before creating, or enable cycles with MEMORY_ALLOW_CYCLES=true
Set this if you need circular relationships for your specific use case.
When you might need cycles:
- Bidirectional causal relationships (A causes B, B causes A)
- Mutual dependencies between components
- Circular knowledge domains (philosophy, linguistics, etc.)
Warning: Enabling cycles requires careful query design to avoid infinite loops.
# Prevent cycles (default - recommended)
claude mcp add --scope user memorygraph memorygraph
# Allow cycles (if needed)
claude mcp add --scope user memorygraph memorygraph \
--env MEMORY_ALLOW_CYCLES=true{
"mcpServers": {
"memorygraph": {
"command": "memorygraph",
"env": {
"MEMORY_ALLOW_CYCLES": "false" // Default
}
}
}
}
**Checklist**:
- [ ] Add MEMORY_ALLOW_CYCLES to environment variables section
- [ ] Explain what cycles are
- [ ] Document default behavior
- [ ] Provide use cases for enabling cycles
- [ ] Include error message example
- [ ] Show CLI configuration example
---
### Task 1.3: Document Health Check in TROUBLESHOOTING.md
**Location**: `/docs/TROUBLESHOOTING.md` (update "Quick Diagnostics" section)
**What to Expand**:
```markdown
## Health Check Command
The health check command verifies that MemoryGraph is properly configured and connected to its backend.
### Running Health Check
```bash
memorygraph --health
Returns JSON with the following fields:
{
"status": "healthy", // "healthy" or "unhealthy"
"backend": "sqlite", // Backend type
"backend_version": "3.x", // Backend version (if available)
"connected": true, // Database connectivity
"response_time_ms": 45, // Query execution time
"memory_path": "/Users/you/.memorygraph/memory.db", // Storage location
"tool_profile": "extended", // Configured tool profile
"version": "0.9.0" // MemoryGraph version
}Healthy (status: "healthy")
- All checks passed
- Backend is connected and responding
- MemoryGraph is ready to use
Unhealthy (status: "unhealthy")
- Check the
errorfield for specific problem - See "Common Health Check Failures" below
"status": "unhealthy",
"error": "database is locked"
Solutions:
# Check for running processes
ps aux | grep memorygraph
# Kill stale processes
pkill -f memorygraph
# Remove lock file if safe
rm ~/.memorygraph/memory.db-lock"status": "unhealthy",
"error": "Connection refused"
Solutions:
# Verify Neo4j is running
docker ps | grep neo4j
# Check credentials in configuration
memorygraph --show-config | grep NEO4J
# Restart Neo4j
docker restart neo4j"status": "unhealthy",
"error": "Backend initialization failed"
Solutions:
- Check environment variables:
memorygraph --show-config - Verify database path has write permissions:
ls -la ~/.memorygraph/ - Check logs:
MEMORY_LOG_LEVEL=DEBUG memorygraph --health
- After installing or upgrading MemoryGraph
- When experiencing connection issues
- Before deploying to production
- After changing backend configuration
- When Claude Code reports MCP server issues
The output is already JSON formatted, suitable for:
- Monitoring systems
- CI/CD pipelines
- Status dashboards
Example using jq to check status:
memorygraph --health | jq '.status'
# Output: "healthy"
**Checklist**:
- [ ] Expand health check section in TROUBLESHOOTING.md
- [ ] Add JSON output format documentation
- [ ] Include specific error messages and solutions
- [ ] Document when to use health check
- [ ] Add examples for different backends
---
### Task 1.4: Update README.md with New Features
**Location**: `/docs/README.md` (add to "Why MemoryGraph?" section or Features)
**What to Add**:
```markdown
## Key Features
### Graph-Based Memory with Relationships
[existing content...]
### Pagination for Large Result Sets
Handle unlimited scale with efficient pagination:
- Offset-based pagination with configurable page size (1-1000 results)
- Metadata includes total count and has_more flag
- Perfect for UI pagination, batch processing, and memory-efficient queries
### Cycle Detection for Relationship Integrity
Prevents circular relationship chains by default:
- Configurable to allow cycles when needed
- Maintains predictable graph queries
- Optional configuration: `MEMORY_ALLOW_CYCLES`
### Health Checks and Diagnostics
Built-in health monitoring:
- `memorygraph --health` command verifies backend connectivity
- JSON output suitable for monitoring systems
- Useful for troubleshooting configuration issues
### Comprehensive Error Handling
Structured exception hierarchy for reliable error handling:
- ValidationError, NotFoundError, BackendError, ConfigurationError
- Clear error messages with recovery suggestions
- Consistent error response format
### Zero-Config SQLite by Default
Get started immediately without infrastructure:
- Automatic database creation
- No service setup required
- Upgradeable to Neo4j, Memgraph, or FalkorDB when needed
Checklist:
- Add features subsection to README.md
- Include pagination benefits
- Document cycle detection
- Mention health check availability
- Highlight zero-config default
File: Create /docs/adr/011-pagination-design.md
Template Content:
# ADR 011: Result Pagination Design
## Status
Accepted and Implemented
## Context
Large memory databases can return hundreds or thousands of matching items in a single query.
Returning all results at once creates problems:
- Memory overhead on client and server
- Network bandwidth consumption
- UI responsiveness issues
- Processing latency for batch operations
## Decision
Implement offset-based pagination for search and recall operations.
### Design Choices
- **Strategy**: Offset-based (not cursor-based) for simplicity
- **Default limit**: 50 results per page
- **Maximum limit**: 1,000 results per page
- **Metadata included**: total_count, has_more, next_offset
### Why Offset-Based?
- Simpler implementation and understanding
- Works well for typical use cases (up to 10k items)
- Sufficient for MemoryGraph use cases
- Future: Can add cursor-based pagination if needed for massive datasets
## Alternatives Considered
1. **Cursor-based pagination** - More complex, better for very large datasets
- Rejected: Overkill for current use cases, adds complexity
2. **No pagination** - Return all results
- Rejected: Poor performance and memory usage
3. **Streaming results** - Progressive result delivery
- Rejected: Requires different client handling, can add later
## Consequences
### Positive
- Clients can handle large result sets efficiently
- Batch processing becomes feasible
- UI pagination easily implemented
- Predictable memory usage
### Negative
- Adds parameters to search tools
- Requires client pagination logic
- Offset becomes invalid if underlying data changes between requests
### Implementation Notes
- All search methods return PaginatedResult
- Limit defaults to 50, maximum 1,000
- has_more flag indicates more results available
- next_offset field provides suggested next page offset
## Examples
```python
# First page
recall_memories(query="auth", limit=25, offset=0)
→ {
results: [...25 items...],
total_count: 87,
has_more: true,
next_offset: 25
}
# Next page
recall_memories(query="auth", limit=25, offset=25)
→ {
results: [...25 items...],
total_count: 87,
has_more: true,
next_offset: 50
}- 5-WORKPLAN: Pagination implementation plan
- PaginatedResult: src/memorygraph/models.py
- Implementation: All backends support pagination
- Issue: None (feature request from users)
2025-12-02
**Checklist**:
- [ ] Create `/docs/adr/011-pagination-design.md`
- [ ] Include rationale for offset vs cursor
- [ ] Document design choices
- [ ] Add implementation examples
- [ ] Reference implementation details
---
### Task 2.2: Create ADR 012 - Cycle Detection Strategy
**File**: Create `/docs/adr/012-cycle-detection-strategy.md`
**Template Content**:
```markdown
# ADR 012: Relationship Cycle Detection
## Status
Accepted and Implemented
## Context
Circular relationship chains can cause issues in graph traversal:
- Infinite loops in relationship queries
- Unpredictable query results
- Complex reasoning when cycles exist
- Graph analysis becomes more difficult
## Decision
Prevent relationship cycles by default with optional configuration to allow them.
### Design
- **Default**: Cycles prevented (MEMORY_ALLOW_CYCLES=false)
- **Configuration**: MEMORY_ALLOW_CYCLES environment variable
- **Algorithm**: DFS-based cycle detection before relationship creation
- **Error handling**: Clear error message when cycle would be created
## Why Prevent Cycles by Default?
1. **Simplicity**: Easier to reason about relationship graphs
2. **Performance**: Prevents infinite traversal in queries
3. **Integrity**: Maintains acyclic property of causal chains
4. **Safety**: Most use cases don't need cycles
## Alternatives Considered
1. **Always allow cycles** - No restrictions
- Rejected: Unsafe defaults, requires careful query design
2. **Always prevent cycles** - No configuration option
- Rejected: Some use cases need cycles
3. **Detect but don't prevent** - Log warning instead of error
- Rejected: Silent failures are dangerous
## Consequences
### Positive
- Relationship graphs remain acyclic by default (DAG)
- Graph queries are simpler and faster
- Prevents accidental infinite loops
- Configurable for advanced use cases
### Negative
- Prevents some valid circular relationships
- Requires configuration change for edge cases
- Adds validation overhead to relationship creation
## Use Cases for Allowing Cycles
- Bidirectional causality (A causes B, B causes A)
- Mutual dependencies between components
- Circular knowledge domains
- Feedback loops in processes
## Implementation
- Location: `sqlite_database.py` create_relationship method
- Algorithm: `graph_algorithms.has_cycle()` function
- Error message includes suggestion to enable cycles
- Configuration checked before validation
## Examples
### Default Behavior (Cycles Prevented)
Attempt: Create auth_service RELATES_TO api_service, api_service RELATES_TO auth_service Error: Would create a cycle in the RELATES_TO relationship graph
### With Cycles Allowed
MEMORY_ALLOW_CYCLES=true Same attempt succeeds, cycle is created
## Future Enhancements
- Cycle detection logging/analytics
- Cycle depth reporting
- Configurable maximum cycle depth
- Performance optimization for large graphs
## References
- 5-WORKPLAN: Cycle detection implementation
- Implementation: src/memorygraph/utils/graph_algorithms.py
- Configuration: MEMORY_ALLOW_CYCLES environment variable
- Tests: tests/test_cycle_detection.py
## Date
2025-12-02
Checklist:
- Create
/docs/adr/012-cycle-detection-strategy.md - Include algorithm and implementation details
- Document configuration option
- Provide use cases for allowing cycles
- Include error handling examples
Location: /docs/TOOL_SELECTION_GUIDE.md
Changes:
- Find "Phase 2.D" reference and update status (already complete)
- Find "Phase 2.E" reference and update status (already complete)
- Add section: "Pagination in Tool Selection"
- Add section: "Cycle Detection Considerations"
- Update "Future Enhancements" section to remove pagination/cycles
Current References to Update:
Line 51: "Need multi-term queries → use search_memories with different parameters"
→ Change to: "Need multi-term queries → use search_memories with terms parameter"
Lines 233-235: Mentions Phase 2.E as planned
→ Change to: Document get_recent_activity as implemented feature
Lines 299-320: Discusses Phase 2.D implementation timeline
→ Remove timeline references, document as current feature
Checklist:
- Search for "Phase 2.D" and "Phase 2.E" references
- Update status to "implemented"
- Remove timeline language
- Add pagination to tool selection decision trees
File: Create /docs/EXCEPTION_REFERENCE.md
Content Structure:
# Exception Reference Guide
## Exception Hierarchy
MemoryGraphError (base) ├── ValidationError ├── NotFoundError ├── BackendError ├── ConfigurationError └── DatabaseConnectionError
## Exception Classes
### MemoryGraphError
Base exception for all MemoryGraph errors.
**When raised**: Any MemoryGraph-related error
**Example**:
```python
try:
memory = await memory_db.get_memory("invalid-id")
except MemoryGraphError as e:
print(f"MemoryGraph error: {e}")
Raised when input validation fails.
When raised:
- Memory title is empty
- Tags are invalid
- Limit parameter exceeds maximum
- Relationship type is invalid
Example:
try:
await memory_db.store_memory(
type="invalid_type", # Invalid memory type
title="...",
content="..."
)
except ValidationError as e:
print(f"Validation failed: {e}")Recovery: Check input parameters and validate before retrying
Raised when requested resource doesn't exist.
When raised:
- Memory ID not found
- Relationship doesn't exist
- Memory type doesn't exist
Example:
try:
memory = await memory_db.get_memory("nonexistent-id")
except NotFoundError as e:
print(f"Memory not found: {e}")Recovery: Verify the ID exists before requesting
Raised when backend operation fails.
When raised:
- Database connection error
- Query execution error
- Transaction failure
- Cypher syntax error (Neo4j/Memgraph)
Example:
try:
await memory_db.search_memories(query)
except BackendError as e:
print(f"Backend error: {e}")Recovery: Check backend connectivity, retry with exponential backoff
Raised when configuration is invalid.
When raised:
- Invalid environment variables
- Missing required configuration
- Conflicting configuration settings
- Invalid backend specified
Example:
try:
database = create_database(backend="invalid")
except ConfigurationError as e:
print(f"Configuration error: {e}")Recovery: Check environment variables and configuration
All errors include:
type: Exception class namemessage: Human-readable error messagecontext: Additional context (when available)suggestion: Recovery suggestion (when available)
- Catch specific exceptions when possible
- Use the suggestion field for user guidance
- Log errors with full context
- Implement exponential backoff for transient errors
- Distinguish between user errors and system errors
**Checklist**:
- [ ] Create EXCEPTION_REFERENCE.md (optional)
- [ ] Document all exception classes
- [ ] Include recovery strategies
- [ ] Add usage examples
---
### Task 4.2: Minor Updates to CLAUDE_CODE_SETUP.md
**Location**: `/docs/CLAUDE_CODE_SETUP.md`
**Changes**:
- [ ] Add Python version requirement note to Prerequisites section
- [ ] Add: "Python 3.10+ required (3.12+ recommended)"
- [ ] Mention datetime compatibility (Python 3.12+ no longer uses utcnow)
**Checklist**:
- [ ] Update Prerequisites section
- [ ] Add Python version requirement
- [ ] Note about datetime changes in Python 3.12+
---
## Execution Order
### Session 1 (Priority 1 - Most Critical)
1. Task 1.1: Add Pagination to TOOL_SELECTION_GUIDE.md
2. Task 1.2: Add Cycle Detection to CONFIGURATION.md
3. Task 1.3: Expand Health Check in TROUBLESHOOTING.md
4. Task 1.4: Update README.md Features
**Time**: 6-9 hours
**Outcome**: Users can discover and use all new v0.9.0 features
### Session 2 (Priority 2 - Architecture)
5. Task 2.1: Create ADR 011 (Pagination Design)
6. Task 2.2: Create ADR 012 (Cycle Detection)
**Time**: 2-4 hours
**Outcome**: Architecture decisions formally documented
### Session 3 (Priority 3-4 - Polish)
7. Task 3.1: Update TOOL_SELECTION_GUIDE.md (remove future refs)
8. Task 4.1: Create EXCEPTION_REFERENCE.md (optional)
9. Task 4.2: Minor CLAUDE_CODE_SETUP.md updates
**Time**: 2-4 hours (1-2 if skipping EXCEPTION_REFERENCE)
**Outcome**: Consistent documentation, no forward references
---
## Verification Checklist
After completing updates:
- [ ] All new features mentioned in README.md
- [ ] CONFIGURATION.md has MEMORY_ALLOW_CYCLES documented
- [ ] TROUBLESHOOTING.md explains health check command
- [ ] TOOL_SELECTION_GUIDE.md shows pagination usage
- [ ] ADR 011 and 012 created and well-formatted
- [ ] No references to "Phase 2.D" or "Phase 2.E" as future work
- [ ] All example code is correct and tested
- [ ] Links between documents are consistent
- [ ] Spelling and grammar checked
---
## Files Summary
**To Create**:
- [ ] `/docs/adr/011-pagination-design.md`
- [ ] `/docs/adr/012-cycle-detection-strategy.md`
- [ ] `/docs/EXCEPTION_REFERENCE.md` (optional)
**To Update**:
- [ ] `/docs/TOOL_SELECTION_GUIDE.md` (add pagination, remove future refs)
- [ ] `/docs/CONFIGURATION.md` (add cycle detection, health check)
- [ ] `/docs/TROUBLESHOOTING.md` (expand health check section)
- [ ] `/docs/README.md` (add features section)
- [ ] `/docs/CLAUDE_CODE_SETUP.md` (minor: Python version note)
---
**Total Estimated Time**: 11-19 hours (excluding optional)
**Priority Focus**: Complete Priority 1 tasks first for immediate user benefit
---
**Created**: December 2, 2025
**For**: v0.9.0 Release Documentation
**Status**: Ready for execution