{"id":"kraklabs-mie","name":"mie","homepage":"https://kraklabs.com/mie","repo_url":"https://github.com/kraklabs/mie","category":"ai-ml","subcategories":[],"tags":["ai-agents","ai-memory","mcp","knowledge-graph","graph-database","semantic-search","embeddings","local-first","go"],"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).","use_cases":["Cross-session, cross-agent sharing of structured “memory” (decisions, facts, entities, events).","Building agent workflows that retrieve relevant context via semantic/graph queries before answering.","Importing project knowledge (e.g., ADRs/markdown/git history) into a persistent memory graph.","Detecting contradictions/conflicts in stored knowledge and invalidating outdated items with history preserved.","Exporting/importing knowledge graphs for portability and backup/restore."],"not_for":["High-security multi-tenant SaaS memory without strong access controls (no cloud auth model described).","Use cases that require a managed hosted service with guaranteed uptime/SLA.","APIs where you need a REST/GraphQL/SDK-first developer experience (MCP/CLI-first)."],"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.","alternatives":["LlamaIndex/semantic memory patterns with vector stores (custom integration).","LangChain memory/graph approaches (custom persistence).","Vector databases plus metadata (e.g., Postgres + pgvector) with your own schema and retrieval logic.","Other MCP server implementations for knowledge/memory (if available) or a custom MCP wrapper around a DB/graph store."],"af_score":51.8,"security_score":25.2,"reliability_score":28.8,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:26:05.914447+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":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)."],"oauth":false,"scopes":false,"notes":"No authentication/authorization model is described in the provided README. Access appears intended for local/control-plane usage where agents are trusted."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"AGPL-3.0 open-source licensing with optional commercial license mentioned; README does not describe hosted pricing or usage-based billing."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":51.8,"security_score":25.2,"reliability_score":28.8,"mcp_server_quality":78.0,"documentation_accuracy":72.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":25.0,"rate_limit_clarity":20.0,"tls_enforcement":20.0,"auth_strength":10.0,"scope_granularity":30.0,"dependency_hygiene":45.0,"secret_handling":30.0,"security_notes":"Security controls are not detailed in the provided README. The system appears local-first and uses MCP over stdio (likely Unix domain socket/daemon), but no authentication/authorization, encryption-in-transit requirements, or secrets-handling practices are documented. Embeddings provider may involve local services (Ollama) and optional embedding configuration; ensure embedding inputs/outputs and logs are handled safely. AGPL licensing suggests open-source code availability, but dependency/Vulnerability posture is not verifiable from provided content.","uptime_documented":0.0,"version_stability":45.0,"breaking_changes_history":40.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"mentioned (mie_list includes pagination)","retry_guidance_documented":false,"known_agent_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."]}}