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Alternatives to Amneshia

  • A
    license
    A
    quality
    B
    maintenance
    Self-hosted personal knowledge graph for Claude that persists across sessions, devices, and tools. Built on Neo4j with local semantic embeddings; OAuth 2.1 lets Claude Code, Claude Desktop, and claude.ai web all hit the same graph.
    24
    166 npm
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Self-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.
    6
    4
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to write, search, browse, link, consolidate, and promote layered Markdown-backed memories with SQLite FTS5 indexing, rule checks, and optional semantic retrieval across projects.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph — all in a local SQLite database.
    20
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI agents to persist facts with tags, sources, and importance in a local SQLite database, retrieve them through hybrid BM25 plus embedding search weighted by retention decay, link or supersede related entries, and review everything in a read-only visual dashboard showing the memory graph and timeline.
    6
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Local 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 Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
    3
    Business Source 1.1
  • A
    license
    B
    quality
    B
    maintenance
    Enables AI assistants to retain atomic facts, decisions, and episodic lessons in a persistent shared SQLite graph memory, then recall them through hybrid BM25 plus dense-vector search with spreading activation and progressively packed context. Also supports reflection-based belief revision so stale or contradictory memories are superseded rather than returned alongside current ones.
    4
    MIT

TDQS

A4.4/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: remember and remember_media handle writing, recall and context handle reading, and forget handles deletion. Descriptions explicitly cross-reference and differentiate use cases, making selection unambiguous.

Naming Consistency4/5

Most names are lowercase action verbs (remember, recall, forget), but 'context' is a noun and 'remember_media' uses an underscore. These are minor deviations from an otherwise consistent and readable convention.

Tool Count5/5

Five tools is well-scoped for a memory/knowledge graph server, covering the essential operations without redundancy. Each tool clearly earns its place.

Completeness4/5

The core lifecycle (create, read, delete) is covered, with update handled via remember as documented. Minor gaps like no explicit update tool or entity listing exist, but workarounds prevent dead ends.

Maintenance

ActivityNo data
ResponsivenessOutdated data