{"id":"mordang7-contextkeep","name":"ContextKeep","af_score":59.0,"security_score":37.0,"reliability_score":37.5,"what_it_does":"ContextKeep is a standalone memory server for AI agents that exposes MCP tools to store, retrieve, search, and list persistent memories. It supports local (stdio) and remote transports (SSE) plus a web dashboard for managing memories stored on the host (SQLite-backed per changelog).","best_when":"You run it yourself (local/homelab) and want an MCP-compatible long-term memory for one or a small number of trusted clients on the same machine/network.","avoid_when":"You need robust authentication/authorization, rate limit policies, and structured error contracts for untrusted clients; also avoid exposing the web UI/MCP transport to untrusted networks without additional protections.","last_evaluated":"2026-03-30T13:44:14.078847+00:00","has_mcp":true,"has_api":false,"auth_methods":["None documented for MCP transport (stdio/SSE/ssh described without auth controls)."],"has_free_tier":false,"known_gotchas":["Recommended protocol: call list_all_memories() first, then retrieve_memory(exact_key); using search_memories() for key lookup may reduce determinism.","No explicit guidance on handling missing keys, conflicting tags, or empty search results is provided in the README."],"error_quality":0.0}