{"id":"edlineas-aivectormemory","name":"aivectormemory","af_score":60.2,"security_score":48.0,"reliability_score":27.5,"what_it_does":"aivectormemory is a local, MCP-compatible Python server that provides persistent cross-session “memory” for AI coding IDE workflows. It stores project/user notes as vector embeddings (ONNX) in a local SQLite+sqlite-vec database and exposes MCP tools to remember, recall (semantic search), forget, and manage session/task/issue state. It also runs a local web dashboard for browsing and administration.","best_when":"You want a local/on-device MCP memory layer for AI coding assistants that you control end-to-end (IDE + local server + local database).","avoid_when":"You need enterprise-grade auth guarantees, externally hosted service guarantees, or you cannot safely expose a local dashboard to untrusted networks/users.","last_evaluated":"2026-03-30T13:50:34.073182+00:00","has_mcp":true,"has_api":false,"auth_methods":["Web dashboard login (username/password; default admin/admin123 stated)"],"has_free_tier":false,"known_gotchas":["Tool outputs/IDs are not specified in enough detail to design robust retry/idempotency semantics.","Task tracking and status/blocking behavior depend on “Steering rules” generated during install; agent behavior may break if hooks/rules are not correctly configured per IDE.","Web dashboard default credentials (admin/admin123) may pose security risk if exposed beyond localhost or not changed immediately."],"error_quality":0.0}