LoreConvo

MCP server · PyPI · graded 2026-10-24Source linked

Local-first persistent session memory for Claude Code and other agents. SQLite + FTS5, no cloud.

No outside reports on file

LoreConvo reads local files; restrict its folder reach, network access, and credentials before installing.

Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

Local filesReads local filesNOTED
Command executionNo shell command runner notedLOW
Network reachLocal or standard API callsLOW
CredentialsNo API token requiredLOW
Package sourcePyPI (loreconvo)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

uvx loreconvo

All setup options ↓

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About LoreConvo

LoreConvo is an MCP server focused on Developer tools and Data & databases: Local-first persistent session memory for Claude Code and other agents. SQLite + FTS5, no cloud.

It is published on PyPI as loreconvo and hosted on GitHub at labyrinth-analytics/loreconvo. Based on its public metadata, its operational scope includes: reads local files.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

PyPI command

uvx loreconvo

PyPI (pip) command

pip install loreconvo

MCP client config

For Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json).

json

{
  "mcpServers": {
    "loreconvo": {
      "command": "uvx",
      "args": [
        "loreconvo"
      ]
    }
  }
}

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

4/100

Listing last refreshed: 2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

Local file read access: Reads local documents or database files. Point it only at the specific files needed for the task so sensitive workspace files remain out of reach.
Dependency & version pinning: Distributed via PyPI (loreconvo). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

Check its activity history or logs weekly at first, and look at what it changed or sent.
Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

It asks for more access than its job requires, or prompts you to paste passwords.
It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install LoreConvo?

Run uvx loreconvo (or pip install loreconvo) in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/labyrinth-analytics/loreconvo.

Are there security reports about LoreConvo?

No reports found for this package in our research (last checked 2026-10-29). LoreConvo currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is LoreConvo actively maintained?

We do not have star or download counts on file for LoreConvo yet (listing refreshed 2026-10-29). Check the commit history and open issues at github.com/labyrinth-analytics/loreconvo before relying on it.

What are alternatives to LoreConvo?

You can compare LoreConvo side by side with other SQLite, Memory MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

Maintain or use LoreConvo? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

GitHub README Markdown:

markdown

[![AgentArmorHQ Risk Grade for LoreConvo](https://agentarmorhq.com/api/badge/labyrinth-analytics-loreconvo)](https://agentarmorhq.com/skills/labyrinth-analytics-loreconvo)

HTML embed:

html

<a href="https://agentarmorhq.com/skills/labyrinth-analytics-loreconvo"><img src="https://agentarmorhq.com/api/badge/labyrinth-analytics-loreconvo" alt="AgentArmorHQ Risk Grade for LoreConvo" height="20" /></a>

Terminal check:

terminal

curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "labyrinth-analytics-loreconvo"

Share with your security lead

Need sign-off to use LoreConvo? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: LoreConvo
- **Listing URL:** https://agentarmorhq.com/skills/labyrinth-analytics-loreconvo
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0

#### Permission & Blast-Radius Signals
- **Local files:** Reads local files
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** PyPI (loreconvo)

#### Recommended Hardened Setup
- **Command:** `uvx loreconvo`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type: App connector
Publisher: labyrinth-analytics
Source code: github.com/labyrinth-analytics/loreconvo
Install command: pip install loreconvo
Est. context load: ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context)
Last updated: 2026-10-29
Last graded: 2026-10-24

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