openmem
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AlicenseNot gradedqualityCmaintenanceProvides persistent, scoped shared memory for collaborating AI agents, with tools for storing observations, semantic recall, and handoff workflows. Backed by PostgreSQL and exposed through MCP.1Apache 2.0- AlicenseNot gradedqualityDmaintenanceEnables AI agents to store, retrieve, and manage contextual knowledge across sessions using semantic search with PostgreSQL and vector embeddings. Supports memory relationships, clustering, multi-agent isolation, and intelligent caching for persistent conversational context.11 npm48MIT
- AlicenseNot gradedqualityAmaintenanceUser-owned shared memory for AI agents, providing a persistent, curated knowledge layer with hybrid search and cross-agent coordination via Postgres + pgvector.16Apache 2.0
- AlicenseNot gradedqualityDmaintenancePersistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.3 npmMIT
- -licenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to store and retrieve long-term memories with semantic search, supporting various memory types and tags via PostgreSQL and pgvector.11 npmMIT
TDQS
Scored across 9 tools
The tools have distinct purposes, and the descriptions explicitly separate raw memory search (mh_search), synthesized answers (mh_ask), and pre-generated answers (mh_tool). Some risk remains because these three query-ish tools overlap in intent, but the guardrails in the descriptions are strong enough to guide selection.
All tool names use the consistent lowercase mh_ prefix and mostly follow a verb-based pattern like write, update, search, get, ask, and status. The noun-style exceptions mh_service, mh_tool, and mh_tools_list are minor deviations, and tools_list also reverses the expected order slightly.
Nine tools is well-scoped for a memory hub: core memory operations (write/get/search/update), specialized lookups (service/tool), and meta/status tools are all represented. Each tool has a clear role and none feel redundant.
The surface covers create, read, update, query, status, and specialized lookup workflows well. There is no explicit delete or conflict-resolution tool even though mh_status surfaces pending conflicts, but this may be intentional and can be worked around via archive/update and category changes.