{"id":"yoloshii-clawmem","name":"ClawMem","af_score":62.8,"security_score":48.8,"reliability_score":42.5,"what_it_does":"ClawMem is a local-first context engine/memory for AI coding agents. It indexes markdown/project documents into a SQLite-based “vault”, performs hybrid retrieval (BM25 + vector + reranking + graph/intent-based traversal), and integrates with Claude Code via hooks + an MCP stdio server and with OpenClaw via a ContextEngine plugin or MCP tools. It also captures session decisions/handoffs and writes them back to the same local vault; it includes measures against prompt injection in surfaced content and supports deduplication, lifecycle (pin/snooze/archive), and crash-safe transaction-safe indexing.","best_when":"You want an on-device, agent-integrated memory layer that can surface relevant context automatically and also provide tool-based retrieval (MCP/OpenClaw) while keeping data local in a SQLite vault.","avoid_when":"You need a centralized, network-accessible API or require robust multi-user authentication/authorization at the service layer.","last_evaluated":"2026-03-30T15:22:48.049794+00:00","has_mcp":true,"has_api":false,"auth_methods":["Local stdio MCP server (no user auth described)","Local plugin integration (no user auth described)"],"has_free_tier":false,"known_gotchas":["Designed as a local system; agents must run where the vault/models exist.","No authentication for MCP tools is described; in practice, ensure only trusted local clients can connect.","Integration modes share the same SQLite vault—concurrent access exists (WAL + busy_timeout mentioned) but agent workloads that heavily parallelize may still contend.","“Hooks handle 90%” suggests relying purely on MCP may miss lifecycle orchestration such as compaction and afterTurn/feedback-loop flows unless using the OpenClaw ContextEngine plugin."],"error_quality":0.0}