jevmem-mcp
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- AlicenseNot gradedqualityAmaintenanceLocal memory for AI agents in one SQLite file on your own machine. Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.2Business Source 1.1
- AlicenseAqualityCmaintenanceEnables coding agents to save facts, decisions and conventions into a single SQLite file and search them again in later sessions. Recall is ranked by BM25 relevance boosted by recency and scoped per project, with zero native dependencies.4MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to keep a durable, local-first long-term memory in a single SQLite file, where frequently recalled facts strengthen and unused traces decay, with sleep-time consolidation that merges duplicates and distills episodes into semantic gists. Exposes six tools — remember, recall, context, forget, dream, and stats — so clients can store facts, pull prompt-ready memory blocks, and permanently erase data on request.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to store decisions, preferences, and lessons in a local SQLite store, then recall the most relevant ones on demand. Runs fully local — no cloud, API keys, or per-query cost — and also exposes forget and consolidate operations.2Apache 2.0

memiofficial
AlicenseNot gradedqualityBmaintenanceGives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.15 npm1Apache 2.0- AlicenseNot gradedqualityBmaintenanceProvides long-term memory for LLMs via local SQLite storage with hybrid search (BM25, vectors, recency decay), enabling AI coding agents to persist and recall memories across sessions without cloud or API keys.53MIT
TDQS
Scored across 11 tools
The core tools have distinct roles across writing, recall, browsing, deletion, consolidation, and maintenance. There is minor overlap because memory_write can also pin notes and memory_resolve is another storage path, but the descriptions clearly scope those special cases.
All tools use snake_case and a consistent memory_ prefix. Action-oriented and resource-oriented suffixes remain predictable across both core and administrative operations.
Eleven tools are well suited to a memory service with both core operations and an advanced consolidation lifecycle. Each tool supports a recognizable workflow, with no obvious filler.
The surface covers storage, retrieval, listing, deletion, pinning, consolidation, proposal resolution or dismissal, queued-write recovery, and operational statistics. These operations connect into complete workflows without an obvious lifecycle dead end.