{"id":"sandst1-remind","name":"remind","af_score":58.0,"security_score":34.5,"reliability_score":33.8,"what_it_does":"Remind (remind-mcp) is a generalized long-term memory layer for LLM-driven agents. It ingests “episodes” of experiences, consolidates them into generalized “concepts” (with confidence/conditions/exceptions), maintains an entity/knowledge graph, and supports semantic/graph-based retrieval. It can be used via a local CLI/skills workflow with a project database, or via an MCP server for IDE/desktop agents, which also exposes a web UI and a small REST API.","best_when":"You want agent-friendly, persistent memory for a single project or local workspace, and you benefit from consolidation/generalization beyond basic RAG.","avoid_when":"You need a fully specified, externally-hosted managed service with strong enterprise security guarantees and documented operational SLAs.","last_evaluated":"2026-03-30T13:53:09.517443+00:00","has_mcp":true,"has_api":true,"auth_methods":["Local file-based provider configuration (~/.remind/remind.config.json)","API keys for LLM/embedding providers (Anthropic/OpenAI/Azure/Ollama)"],"has_free_tier":false,"known_gotchas":["Consolidation/ingestion may be asynchronous (background/background workers are mentioned), so agents may need to wait for processing completion before expecting updated recall results.","Local server defaults imply no built-in network authentication; expose carefully if binding beyond localhost.","LLM provider API keys are configured locally; missing/invalid keys will block consolidation/ingestion."],"error_quality":0.0}