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MindCore Memory MCP server

by woshilaohei·io.github.woshilaohei/mindcore-memory·v0.1.11·1 stars
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AI long-term memory MCP server with importance scoring and confidence calibration

B78/100grade B
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Safety scan
B78/100

full report

Adoption
New

1 stars42 downloads/wk

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

MindCore Memory MCP tools (6, 2 write)

write = sends, deletes, buys or posts

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

  • memory_context

    Build a context window from relevant memories for LLM input.

  • memory_deletewrite action

    Delete a memory by its ID. Irreversible — use with caution.

  • memory_recall

    Recall memories relevant to the query.

  • memory_stats

    Get stats: total count, importance distribution, avg confidence.

  • memory_store

    Store a new memory that should be remembered long-term.

  • memory_update_confidencewrite action

    Update a memory confidence score after correction.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan12 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 103 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How MindCore Memory MCP 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 48,255 servers
Tools
6
the typical server has 7
Tools that change things
33%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,688 servers
Downloads a week
42
more than 34% of 12,191 servers with a package

What its tools let an agent do: 4 read · 2 change

Install MindCore Memory MCP in Claude Code, Cursor or VS Code

claude mcp add mindcore-memory -- uvx mindcore-memory
Add to Cursor

What the publisher says

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

Production-Hardened MCP Memory Server — Hybrid Search + Resilience for AI Agents

The only MCP memory server with circuit breaker, SLO tracking, and BM25+FAISS hybrid search. AI agents forget everything between sessions. MindCore Memory gives them persistent, searchable, production-grade memory — with 118/118 tests passing and full CI/CD.

⭐ If this project helps your AI remember, a star means the world to us.

Quick Start

# 1. Install
pip install mindcore-memory

# 2. Launch (stdio mode — works with any MCP client)
mindcore-memory

# 3. Your AI agent remembers across sessions

MCP Client Config (Claude Desktop / Cursor / Cline)

{
  "mcpServers": {
    "mindcore-memory": {
      "command": "python",
      "args": ["-m", "mindcore_memory.server"],
      "env": { "MINDCORE_MEMORY_PATH": "~/.mindcore/memory" }
    }
  }
}

Optional: Semantic Search

pip install mindcore-memory[semantic]
# Enables FAISS embeddings for hybrid BM25+semantic search

Why MindCore — vs the Competition

MindCore is the only MCP memory server designed for production workloads from day one. Circuit breaker protects against embedding service failures. Retry with exponential backoff handles transient errors. SLO tracking alerts you before users notice. Metrics export for your monitoring stack. Every other server assumes nothing fails — MindCore doesn't.

Unique: 3D Boundary Balance Algorithm

MindCore is not just a memory store — it's a cognitive boundary engine. Every stored memory is automatically evaluated through a 4-dimensional scoring system based on the 正反公式 (Forward/Reverse Formula):

BND_score = 0.28·TRJ(Trajectory) + 0.28·EVO(Evolution) + 0.28·COG(Cognition) + 0.16·BALANCE

Shortened. The full README is on GitHub.

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

MindCore Memory MCP: common questions

Is MindCore Memory MCP server safe?
Mostly: it is graded B (78/100). Read the MindCore Memory MCP safety report
How do I install MindCore Memory MCP?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does MindCore Memory MCP need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is MindCore Memory MCP maintained?
The last commit was 141 days ago (2026-06-16). The latest release is v0.1.11.
What can I use instead of MindCore Memory MCP?
Servers from other publishers that do the same job: Nautilus Compass Memory MCP server.
How does MindCore Memory MCP compare with other MCP servers?
safety score 78/100 (higher than 57% of 48,255 servers); tools 6 (the typical server has 7); tools that change things 33% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to MindCore Memory MCP

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

  • Nautilus Compass Memory
    Local-first long-term memory for AI agents, with byte-recomputable signed verification receipts.
    B