sqlite-memory-mcp
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Alternatives to sqlite-memory-mcp
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- AlicenseNot gradedqualityDmaintenanceProvides persistent, searchable memory for Claude Code using local SQLite, semantic embeddings, and full-text search, enabling Claude to recall and retrieve context across sessions and projects without external services.15 npm4MIT
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- -licenseNot gradedqualityDmaintenanceProvides persistent memory for AI assistants like Claude, storing and retrieving information across conversations using a local SQLite database.-
- AlicenseNot gradedqualityAmaintenanceEnables Claude Code to query and store memories from past conversations using FTS5 search and topic-based retrieval, with no API costs.267 npm1Apache 2.0
- AlicenseAqualityDmaintenanceCross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search.611 npm6MIT
- AlicenseAqualityCmaintenancePersistent memory + FTS5 full-text search for Claude Code conversation history. Indexes ~/.claude/projects/ JSONL into SQLite, exposes 10 MCP tools (store/recall/search memories, browse sessions, get summaries) plus prompts. Includes a web UI for visual exploration1093 npm95MIT
TDQS
Scored across 23 tools
Tools are grouped into clear domains: context, memory, skill, and failure, which makes their purposes generally obvious. A few retrieval tools like memory_read, memory_list, and memory_search have overlapping connotations, but their descriptions specify distinct lookup modes.
All tool names follow a consistent lowercase snake_case verb_noun pattern, such as memory_write, context_set, skill_register, and failure_record. Each domain uses predictable verbs, so the naming convention is uniform and scannable.
23 tools is on the higher end and feels slightly heavy, but the server covers four distinct subdomains that each need CRUD, search, and stats operations. The count is reasonable given the combined scope, though it could be tightened.
Each core domain has solid coverage: create, read, list, search, and delete/update where expected. Minor gaps exist, such as no memory update, no single-key context delete, and no skill unregister, but agents can generally work around these.