Skip to main content
Glama
agentkitai

Lore

Official
by agentkitai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to Lore

No user-submitted related servers found.

    Related Servers

    • Engram

      aurelius86
      A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted, governed long-term memory and knowledge-graph server for AI agents with access control, hybrid retrieval, and typed graph linking.
      AGPL 3.0

    • ogham-mcp

      ogham-mcp
      A
      license
      Not graded
      quality
      A
      maintenance
      Persistent shared memory for AI agents. Hybrid search (pgvector + tsvector), knowledge graph, cognitive scoring, and 16-language temporal extraction. 97.2% Recall@10 on LongMemEval with one PostgreSQL query. Works across Claude Code, Cursor, Codex, OpenClaw, and any MCP client.
      22 PyPI
      115
      MIT
    • Mnemo MCP by expandingideas-ai

      Mnemo MCPofficial

      expandingideas-ai
      A
      license
      Not graded
      quality
      D
      maintenance
      Persistent AI memory server with hybrid search and embedded sync. Enables AI agents to store, retrieve, and manage information across sessions with temporal knowledge graph support.
      MIT

    • mcp-haki

      GetHaki
      A
      license
      Not graded
      quality
      C
      maintenance
      Self-hosted long-term memory for AI agents on your own Postgres. Facts are dated, versioned and superseded rather than silently overwritten, every recall ships with an inspectable trace, and agents can correct wrong memories from inside the conversation.
      2
      Apache 2.0

    • GoodMemory

      hjqcan
      A
      license
      B
      quality
      A
      maintenance
      Local-first, auditable memory for Codex, Claude Code, and MCP clients. It stores scoped user/project memory in SQLite or Postgres, serves read-only recall and inspection tools by default, and supports opt-in governed writeback with review and forget controls.
      8
      195 npm
      17
      MIT

    • attestor

      bolnet
      A
      license
      Not graded
      quality
      B
      maintenance
      Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level security, and Ed25519-signed provenance. Postgres + pgvector + Neo4j defaults.
      24 PyPI
      14
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 46 tools

    Disambiguation3/5

    While individual tools have detailed descriptions, the large number of memory-related tools (remember, remember_observation, add_conversation, ingest) and retrieval tools (recall, search, get_memories, related, graph_query) creates potential confusion for an agent. However, the descriptions attempt to differentiate use cases, and there are no truly overlapping tools.

    Naming Consistency3/5

    Most tool names follow a verb_noun pattern using snake_case (e.g., list_memories, upvote_memory). However, there are exceptions like 'as_prompt' (starts with preposition), 'facts_at_time' (noun phrase), and 'on_this_day' (prepositional phrase). The overall pattern is fairly consistent but has several deviations.

    Tool Count2/5

    With 46 tools, the server is quite large. While each tool serves a distinct purpose in the memory management lifecycle, the count exceeds what is typically manageable and may overwhelm agents. A more focused set could reduce cognitive load without losing functionality.

    Completeness5/5

    The tool surface covers the entire memory lifecycle: ingestion (multiple methods), retrieval (semantic, categorical, temporal, graph), maintenance (consolidation, supersession, forgetting, voting, sharing), auditing (provenance, history, conflicts), and export/import. It is exceptionally comprehensive for a knowledge management system.

    Maintenance

    ActivitySlowing
    ResponsivenessResponsive

    Resources