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Related Servers

Alternatives to celiums-memory

  • A
    license
    C
    quality
    F
    maintenance
    This project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.
    44
    353
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB.
    30
    88 npm
    15
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Related Servers

  • A
    license
    B
    quality
    D
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    Provides AI with persistent memory management including short-term memory (FIFO queue), long-term memory (graph-based storage with associations), and thought process management with multiple cognitive modes for continuous learning and reasoning.
    24
    10 npm
    3
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  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides persistent long-term memory, knowledge base, and audit trail for AI agents, with intelligent recall, salience tracking, and CJK-aware context management.
    2
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides AI agents with persistent, searchable memory that survives across conversations using semantic search, temporal versioning, and smart organization. Enables long-term context retention and cross-session continuity for AI assistants.
    14
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables 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.
    13 npm
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  • A
    license
    A
    quality
    D
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    Provides persistent long-term memory for AI agents through semantic search and automated knowledge graph extraction. It enables agents to store, recall, and reason over facts, preferences, and relationships across multiple conversations and sessions.
    14
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TDQS

A3.6/5.0

Scored across 26 tools

Disambiguation3/5

The tools are mostly distinct by domain (memory, journal, writing, research), but there is notable overlap between forage, sense, and research_search — all perform knowledge-base search with slightly different framing. Similarly, absorb and research_synthesize both retrieve and synthesize knowledge, and journal_recall vs recall could confuse an agent about which memory store to query.

Naming Consistency3/5

Naming is mixed: some tools follow verb_noun (journal_write, research_search, write_scene_create), but others use bare verbs (forage, absorb, sense, remember, recall) and one uses a noun_verb pattern (map_network). The write_* and research_* prefixes are consistent within their groups, but the overall set lacks a unified convention.

Tool Count3/5

26 tools is on the heavy side, but the server covers four distinct subdomains (memory, journal, writing, research), so each tool has a plausible role. The count feels borderline — a few tools could be consolidated (e.g., forage/sense/research_search) without losing capability.

Completeness4/5

The writing and research subdomains have solid lifecycle coverage: create/get/update/export for writing, and create/search/synthesize/export/continue for research. The memory and journal subdomains cover write/read well. Minor gaps: no tool to delete or update memories, no journal entry deletion, and no research project update/delete, but agents can work around these.

Maintenance

ActivityMaintained
ResponsivenessNo issues