Nexus Memory
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AlicenseNot gradedqualityDmaintenancePersistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.MIT- AlicenseAqualityAmaintenanceA self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.202MIT
- AlicenseNot gradedqualityAmaintenanceA self-hosted memory server that gives AI agents a shared, persistent second brain, enabling verbatim storage, hybrid semantic/keyword retrieval, and a synthesized wiki layer through MCP tools.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to share a persistent, self-improving memory by ingesting, classifying, synthesizing, and retrieving knowledge from sources like Obsidian vaults, code, and transcripts through MCP and REST APIs. Provides token-optimized, tiered retrieval with full-text and semantic search so every agent session builds on accumulated context.5 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to share persistent memory by capturing, classifying, synthesizing, and retrieving knowledge from sources like Obsidian, code, and transcripts via MCP and REST APIs. Provides token-optimized search, three-tier memory, and self-learning capture of sessions and fixes so multiple agents can build on prior context.5 npmMIT
- AlicenseNot gradedqualityAmaintenanceAn MCP-native, local-first memory server that gives AI agents persistent, structured memory across sessions and tools, enabling them to maintain identity and context without reconfiguration.3MIT
TDQS
Scored across 19 tools
Core memory operations (remember/recall/update/forget) are clearly distinct, and the guardrail, cost-routing, and webhook clusters are well separated. The knowledge-graph tools (find_entities, get_related, graph_traverse, get_subgraph) overlap somewhat since all query related facts, though hop-depth and output shape differentiate them.
Three conventions coexist: bare verbs (remember, recall, forget, restore, backup, health), verb_noun (find_entities, get_related, graph_traverse, list_subscriptions), and noun_verb (guardrail_check, cost_routing_stats, fact_history). All are snake_case so it stays readable, but the mixed verb styles reduce predictability.
19 tools spans several distinct subsystems—memory CRUD, knowledge graph, guardrails, cost routing, and webhooks—so each earns its place. It runs slightly heavy and could consolidate the KG and cost-routing pairs, but it's reasonable for the breadth of scope.
Strong lifecycle coverage: full memory CRUD (remember/recall/update/forget), backup+restore, fact history/supersession, and complete webhook subscribe/unsubscribe/list. Minor gaps like batch operations or listing all memories remain, but core workflows are well covered.