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SMRITI Memory MCP server

by shivamtyagi18·io.github.shivamtyagi18/smriti-memory·v1.4.17

Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.

B78/100grade B
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B78/100

full report

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Growing

3 stars148 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

SMRITI Memory tools (19, 2 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • amp.consolidate

    Trigger backend consolidation. (AMP Full verb)

  • amp.encode

    Store a new memory for an agent. (AMP Core verb)

  • amp.forget

    Permanently forget a memory. (AMP Core verb)

  • amp.pin

    Mark a memory as permanent — it will never be decayed or archived. (AMP Full verb)

  • amp.recall

    Retrieve memories relevant to a query. (AMP Core verb)

  • amp.stats

    Return backend statistics. (AMP Core verb)

  • smriti_consolidatewrite action

    Run a consolidation cycle to organize and strengthen memories.

  • smriti_create_private_roomwrite action

    Create a private semantic room in the palace.

  • smriti_encode

    Encode information into SMRITI long-term memory.

  • smriti_forget

    Gracefully forget a memory by archiving it.

  • smriti_get_context

    Get formatted working memory context for injection into a prompt.

  • smriti_get_suggestions

    Get proactive suggestions from SMRITI's ambient monitor.

  • smriti_how_well_do_i_know

    Assess confidence about a topic.

  • smriti_knowledge_gaps

    List topics SMRITI knows it doesn't know.

  • smriti_open_ui

    Launch the interactive Memory Browser UI in the user's default web browser.

  • smriti_pin

    Mark a memory as permanent — it will never be decayed or forgotten.

  • smriti_recall

    Recall memories relevant to a query.

  • smriti_stats

    Get comprehensive SMRITI system statistics.

  • smriti_sync_obsidian

    Export the current Semantic Palace to an Obsidian vault.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

1 medium
  • Code scan23 source files scanned20/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 19 days ago15/15
  • Maintainer identitynamespace and repository owner differ4/10

Findings (1)

  • mediumsubprocess with shell=Trueexec.shell-true
    smriti_memcore-1.4.17/smriti_memcore/integrations/install.py: …| bash" subprocess.run(cmd, shell=True, check=True) except Exception a…
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add smriti-memory -- uvx smriti-memcore
Add to Cursor

SMRITI Memory: common questions

Is SMRITI Memory MCP server safe?
Mostly: it is graded B (78/100). Read the SMRITI Memory safety report
How do I install SMRITI Memory?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does SMRITI Memory need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is SMRITI Memory maintained?
The last commit was 19 days ago (2026-09-02). The latest release is v1.4.17.
What can I use instead of SMRITI Memory?
Servers from other publishers that do the same job: Nautilus Compass Memory MCP server, Codebase Memory MCP server and State Memory MCP server. Compare all SMRITI Memory alternatives.

Alternatives to SMRITI Memory

Same job from other publishers: the closest match first, then the best rated.

All SMRITI Memory alternatives →
  • Nautilus Compass Memory
    Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
    B
  • Codebase Memory
    Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
    C
  • State Memory MCP
    Deterministic, persistent graph server for tracking workflow state, decisions, and blockers.
    A

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