mind-mem (ovidiu-eremia/mind-mem) is an MCP server listed on the M8ven Trust Index. It scores 45 out of 100, grade D. It declares 16 tools. No publisher has claimed this listing.

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D
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45/100

mind-mem

Drop-in memory layer for AI coding agents, upgrading them from chat history to a governed Memory OS with hybrid search, contradiction detection, and safe governance.

→ ovidiu-eremia/mind-mem· listed on glama

Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

ovidiu-eremia

Source: Glama

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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
🚨
Reads files from sensitive locations
Touches: ~/.env, ~/.claude-ultimate/.env
🔐
You'll be asked for 2 credentials: MIND_MEM_TOKEN, PINECONE_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.
configMIND_MEM_HOME
configMIND_MEM_WORKSPACEenvironment variable points to a valid workspace directory.
🔐 secretMIND_MEM_TOKEN
configMIND_MEM_LIB
configMIND_MEM_LOG_LEVELStructured JSON logging (via stdlib), in-process metrics counters, and timing context managers. All scripts emit machine-parseable events. Controlled via env var.
configSENTENCE_TRANSFORMERS_HOME
🔐 secretPINECONE_API_KEY
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

16/16 tools missing one or more hints — recall (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); propose_update (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); scan (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +13 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.

No access to sensitive paths

Reads sensitive paths: ~/.env, ~/.claude-ultimate/.env

Remove reads of sensitive system paths. If you genuinely need them, document why in the README.

Shell command execution

2 calls in production code run through a shell (hooks/openclaw/mind-mem/handler.js:85, hooks/openclaw/mind-mem/handler.js:98)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

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 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: b5f46e9ed21591b7be0b447e8d4631c40c5360eb
code hash: f5141afd8dfa44ced55fdfcc6029406ec31521a1c8c35970f720156ebacc3d93
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