{"id":"kraklabs-mie","name":"mie","af_score":51.8,"security_score":25.2,"reliability_score":28.8,"what_it_does":"MIE (Memory Intelligence Engine) is a local/persistent memory layer for AI agents. It exposes an MCP server with tools to store, query, update, delete, export, and repair a typed knowledge graph (facts/decisions/entities/events/topics) backed by an embedded graph database (CozoDB) and optional local embeddings (e.g., via Ollama).","best_when":"You run AI agents on your machine (or controlled environment) and want a persistent, queryable, structured memory graph that multiple MCP-capable clients can share.","avoid_when":"You need fine-grained user/session authorization across untrusted users/agents, or you require published uptime/SLAs and cloud-grade reliability guarantees.","last_evaluated":"2026-03-30T15:26:05.914447+00:00","has_mcp":true,"has_api":false,"auth_methods":["None described for local MCP/CLI usage (no auth section in provided content).","Optional tool whitelisting/blacklisting via config include_tools/exclude_tools (access control not the same as auth)."],"has_free_tier":false,"known_gotchas":["No explicit auth; ensure only trusted MCP clients can reach the server/tools.","Tool behavior and idempotency semantics are not specified in the README; agents should treat write operations as potentially stateful unless confirmed by docs/tests.","Embeddings are optional; semantic queries may behave differently depending on embedding availability and provider configuration."],"error_quality":0.0}