hippocampus
Related Servers
Alternatives to hippocampus
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityBmaintenancePersistent graph-based memory for AI agents, stored as plain markdown — no vector DB. Typed nodes and 11 relation types via 5 MCP tools (search, get, create, link, related), stdio and HTTP/SSE transports.3MIT- AlicenseNot gradedqualityFmaintenanceA personal knowledge graph and memory system for AI assistants using SQLite with FTS5 full-text search, enabling persistent memory across conversations with Claude or any MCP-compatible AI.2MIT
- AlicenseNot gradedqualityAmaintenanceProvides AI agents with a local, private Markdown-based memory vault and SQLite search. Enables agents to search, read, list, and traverse linked knowledge pages via MCP with zero external runtime dependencies.6MIT
- AlicenseNot gradedqualityBmaintenanceProvides local-first persistent memory with a typed knowledge graph and bounded multi-hop retrieval via MCP, letting coding agents and local LLM systems store, search, and recall facts across sessions without hosted services or model dependencies.MIT
- AlicenseNot gradedqualityAmaintenanceA local-first MCP memory server that stores facts in SQLite with FTS5 full-text search, supports projects and pinned records, and optionally syncs to Obsidian, all without external API calls.3MIT
- AlicenseNot gradedqualityCmaintenanceLocal-first memory server that stores notes, contacts, and future data as a unified entity graph, providing hybrid retrieval (vector + keyword) for AI assistants via MCP.1MIT
TDQS
Scored across 21 tools
The three prefixed domains (personal/tech/conversation) are clearly separated, and most tools target a distinct resource or action. Within personal, however, personal_provenance and personal_get_node both expose raw document text, and personal_neighbors/personal_graph both return graph-like views, requiring careful reading of descriptions.
The personal_/tech_/conversation_ prefixes create clear namespaces, and most tools follow a verb_noun pattern. A few personal_ names are bare nouns (provenance, neighbors, graph) rather than action verbs, which is a minor but noticeable inconsistency.
21 tools is on the heavy side for a single MCP server, even though the load is distributed across three distinct modules. The count feels manageable but exceeds the typical well-scoped range.
Core workflows are well covered: creating and linking entities, adding documents/attachments, searching and retrieving content, updating tech observations, and importing/auditing conversations. The main gaps are the lack of a general delete/detach operation and limited batch listing, but these can usually be worked around.