MCP Memory Service

name: Performance Issue description: Report slow operations, memory leaks, or performance degradation title: "[Performance]: " labels: ["performance", "triage"] body: - type: markdown attributes: value: | Thank you for reporting a performance issue! Detailed metrics help us diagnose and optimize the system. - type: textarea id: description attributes: label: Performance Issue Description description: Describe the performance problem you're experiencing placeholder: Memory search is taking >5 seconds when... validations: required: true - type: dropdown id: operation attributes: label: Affected Operation description: Which operation is experiencing performance issues? options: - Memory Storage (store_memory) - Memory Retrieval (recall_memory, retrieve) - Search Operations (semantic/tag/time search) - Document Ingestion (PDF/DOCX processing) - Dashboard Loading (HTTP UI) - Server Startup/Initialization - Background Sync (hybrid backend) - Database Operations (general) - Other validations: required: true - type: textarea id: metrics attributes: label: Performance Metrics description: Provide timing information or benchmarks placeholder: | Current performance: 10 seconds Expected performance: <1 second Tested with: 1000 memories, 5 concurrent requests value: | - Operation time: - Memory count in database: - Concurrent operations: - CPU usage: - Memory usage: validations: required: true - type: textarea id: reproduce attributes: label: Steps to Reproduce description: How can we reproduce this performance issue? placeholder: | 1. Insert 10,000 memories using... 2. Run search query... 3. Observe >5 second response time value: | 1. 2. 3. validations: required: true - type: dropdown id: storage-backend attributes: label: Storage Backend description: Which backend shows the performance issue? options: - sqlite-vec (local) - cloudflare (remote) - hybrid (sqlite + cloudflare) - All backends - Unsure validations: required: true - type: input id: database-size attributes: label: Database Size description: Number of memories and approximate disk size placeholder: "5000 memories, 50MB database file" validations: required: true - type: dropdown id: trend attributes: label: Performance Trend description: Is this a new issue or has it gotten worse over time? options: - Always been slow - Recently degraded (specify version) - Gets worse with more data - Intermittent (sometimes fast, sometimes slow) - After specific change/upgrade validations: required: true - type: textarea id: environment attributes: label: Environment Details description: System specifications that might affect performance placeholder: | OS: macOS 14.1 CPU: M2 Max (12 cores) RAM: 32GB Disk: SSD (NVMe) Python: 3.11.5 Version: v8.17.0 value: | - OS: - CPU: - RAM: - Disk Type: - Python Version: - MCP Version: validations: required: true - type: textarea id: profiling attributes: label: Profiling Data (Optional) description: | If you've profiled the operation, include results: - Python cProfile output - Database query EXPLAIN QUERY PLAN - Network latency measurements (for remote backends) placeholder: Paste profiling data here render: shell - type: textarea id: logs attributes: label: Relevant Logs description: Logs showing timing or performance warnings placeholder: Paste logs with timestamps render: shell - type: textarea id: workaround attributes: label: Workaround description: Have you found any temporary workarounds? placeholder: | Reducing batch size helps... Switching to different backend improves... - type: checkboxes id: checks attributes: label: Pre-submission Checklist description: Please verify you've completed these steps options: - label: I've verified this is a performance regression (not expected behavior) required: true - label: I've included specific timing measurements (not just "it's slow") required: true - label: I've tested with latest version to confirm issue still exists required: true - label: I've described database size and environment specifications required: true