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SMRITI Memory MCP server

by shivamtyagi18·io.github.shivamtyagi18/smriti-memory·v1.4.17·3 stars
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Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.

B78/100grade B
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Safety scan
B78/100

full report

Adoption
Growing

3 stars431 downloads/wk

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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 v0.1.10 · 2026-10-29 · 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 6 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

How SMRITI Memory compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 48,243 servers
Tools
19
the typical server has 7
Tools that change things
11%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
3
more than 80% of 28,706 servers
Downloads a week
431
more than 86% of 12,306 servers with a package

What its tools let an agent do: 17 read · 2 change

Install SMRITI Memory in Claude Code, Cursor or VS Code

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

What the publisher says

From the SMRITI Memory repository's README, as published. We do not edit it. Read it on GitHub

SMRITI Memcore

Enterprise-grade, privacy-first Long-Term Memory (LTM) engine for LLM agents, multi-agent frameworks, and MCP clients.

🌐 www.smriti-memcore.com

<!-- mcp-name: io.github.shivamtyagi18/smriti-memory -->

💡 What is SMRITI?

SMRITI is a high-performance, neuro-inspired long-term memory layer designed to give AI agents persistent, adaptive recall without blocking their real-time execution loop.

Inspired by human Dual-Process cognitive theory, SMRITI splits memory operations into:

  1. System 1 (Immediate Heuristics): Decoupled, millisecond-level ingestion of raw interactions into an append-only Episode Buffer.
  2. System 2 (Async Consolidation): Background LLM-driven consolidation that extracts knowledge graphs, resolves contradictions, identifies skills, and decays weak memories.

⚔️ SMRITI vs. Naive RAG & Vector Databases

🚀 Key Capabilities

  • 🧠 Dual-Process Performance: Zero-blocking real-time loops. Write immediately, analyze when idle.
  • 🔒 Privacy-First (Private Rooms): Create local semantic rooms whose memories are automatically excluded from shared/team-wide sync.
  • 🔌 Model Context Protocol (MCP): Native MCP server integration with Claude Code, Claude Desktop, Gemini Antigravity, and Codex.
  • 📦 AMP v1.0 Spec Compliant: Drop-in compatibility with any agent framework conforming to the Agent Memory Protocol.
  • 📊 Visual Graph Explorer: Clean D3.js-based visualization interface with Prometheus metrics monitoring.
  • 📂 Obsidian Vault Integration: Automatically syncs your agent's memory graph into an Obsidian vault for human curation.
  • 🧩 Framework Agnostic: Integrates natively with LangChain, LlamaIndex, CrewAI, and AutoGen.

🧠 Core Architecture

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

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, Cursor, VS Code or Claude Desktop 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 14 days ago (2026-10-23). 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 Neo4j Memory MCP server. Compare all SMRITI Memory alternatives.
How does SMRITI Memory compare with other MCP servers?
safety score 78/100 (higher than 57% of 48,243 servers); tools 19 (the typical server has 7); tools that change things 11% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to SMRITI Memory

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All SMRITI Memory alternatives →
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