SMRITI Memory MCP server
io.github.smriti-memcore/smriti-memory·v1.4.28·3 starsNeuro-inspired long-term memory for AI agents with semantic graph and consolidation.
3 stars
Reviews
Write oneNobody has reviewed SMRITI Memory yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
SMRITI Memory tools (19, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
amp.consolidate[Write / State-Modifying] Trigger backend consolidation. (AMP Full verb)
amp.encode[Write / State-Modifying] Store a new memory for an agent. (AMP Core verb)
amp.forget[State-Modifying / Archive] Permanently forget a memory. (AMP Core verb)
amp.pin[Write / State-Modifying] Mark a memory as permanent — it will never be decayed or archived. (AMP Full verb)
amp.recall[Read-Only] Retrieve memories relevant to a query. (AMP Core verb)
amp.stats[Read-Only] Return backend statistics. (AMP Core verb)
smriti_consolidate[Write / State-Modifying] Run a consolidation cycle to organize and strengthen memories.
smriti_create_private_roomwrite action[Write / State-Modifying] Create a private semantic room in the palace.
smriti_encode[Write / State-Modifying] Encode information into SMRITI long-term memory.
smriti_forget[State-Modifying / Archive] Gracefully forget a memory by archiving it.
smriti_get_context[Read-Only] Get formatted working memory context for injection into a prompt.
smriti_get_suggestions[Read-Only] Get proactive suggestions from SMRITI's ambient monitor.
smriti_how_well_do_i_know[Read-Only] Assess confidence about a topic.
smriti_knowledge_gaps[Read-Only] List topics SMRITI knows it doesn't know.
smriti_open_ui[Side-Effect / Launch UI] Launch the interactive Memory Browser UI in the user's default web browser.
smriti_pin[Write / State-Modifying] Mark a memory as permanent — it will never be decayed or forgotten.
smriti_recall[Read-Only] Recall memories relevant to a query.
smriti_stats[Read-Only] Get comprehensive SMRITI system statistics.
smriti_sync_obsidian[Write / File Export] Export the current Semantic Palace to an Obsidian vault.
Public scan report
scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it
- Code scan31 source files scanned25/25
- –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 11 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
How SMRITI Memory compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 91/100
- higher than 85% of 48,255 servers
- Tools
- 19
- the typical server has 7
- Tools that change things
- 5%
- typical: 0%. Fewer write tools means less an agent can break
- GitHub stars
- 3
- more than 80% of 28,688 servers
What its tools let an agent do: 18 read · 1 change
Release history: 2 versions in the registry since 2026-08-19, latest 2026-10-22, typically one every 65 days.
Install SMRITI Memory in Claude Code, Cursor or VS Code
claude mcp add smriti-memory -- uvx smriti-memcore
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:
- System 1 (Immediate Heuristics): Decoupled, millisecond-level ingestion of raw interactions into an append-only Episode Buffer.
- 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.
Grade history
- 2026-11-03restoreB → Ascore 91
SMRITI Memory: common questions
- Is SMRITI Memory MCP server safe?
- Yes, by our scan: it is graded A (91/100). 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 12 days ago (2026-10-23). The latest release is v1.4.28.
- 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.
- How does SMRITI Memory compare with other MCP servers?
- safety score 91/100 (higher than 85% of 48,255 servers); tools 19 (the typical server has 7); tools that change things 5% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to SMRITI Memory
Same job from other publishers: the closest match first, then the best rated.
- Nautilus Compass MemoryLocal-first long-term memory for AI agents, with byte-recomputable signed verification receipts.not reviewedEstablishedB
- Codebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.not reviewedWidely usedC
- Neo4j MemoryMCP Neo4j Knowledge Graph Memory Servernot reviewedEstablishedA
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA