ai-dememory (GonzaloTorreras/ai-dememory) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 74 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
7 days ago

ai-dememory

Personal multi-LLM memory repository using Markdown as source of truth, SQLite FTS5 for retrieval, and MCP tools for search, context, and write proposals.

→ GonzaloTorreras/ai-dememory· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

GonzaloTorreras

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: AI_DEMEMORY_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configAI_DEMEMORY_PR_URL
configAI_DEMEMORY_ROOTand override it whenever you deliberately select another
configGITHUB_REPOSITORY
🔐 secretAI_DEMEMORY_API_KEY
configAI_DEMEMORY_REVIEWER
// quality suggestions

All four hints declared on every tool

74/74 tools missing one or more hints — memory.doctor (missing: idempotentHint); memory.validate_status (missing: idempotentHint); memory.search (missing: idempotentHint), +71 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/gonzalotorreras/ai-dememory)](https://m8ven.ai/mcp/gonzalotorreras/ai-dememory)
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commit: e7f823ecf223d544b1f2f4cd909fbc42afb3aea3
code hash: 5fec9ddbd3e0a41b8cb89cee772b84994985704602dd9cbb12bd8ddfffa0c47b
verified: 9/6/2026, 7:23:21 AM
view raw JSON →
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