supermem (lamenting-hawthorn/supermem) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 8 tools. No publisher has claimed this listing.

C
Emerging
74/100
10 days ago

supermem

MCP server providing persistent AI memory with four-tier retrieval (SQLite FTS5, graph, vector, LLM agent) to give AI assistants structured, long-term memory without RAG.

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

Code 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

lamenting-hawthorn

Source: Glama

Is this your MCP?

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Install from

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 3 credentials: OPENROUTER_API_KEY, ANTHROPIC_API_KEY, SUPERMEM_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.
configMCP_TRANSPORT
configMCP_HOST
configMCP_PATH
configMCP_PORT
configUV
configPYTHONPATH
configSANDBOX_PARAMS
🔐 secretOPENROUTER_API_KEYOpenRouter API key
configVLLM_HOST
configVLLM_PORT
configSUPERMEM_LLM_PROVIDERlmstudio
configSUPERMEM_LLM_MODELModel string (e.g. openai/gpt-4o-mini, llama3)
configOLLAMA_HOSTOllama server URL
configOLLAMA_DEFAULT_MODEL
configVLLM_DEFAULT_MODEL
🔐 secretANTHROPIC_API_KEYAnthropic API key
configANTHROPIC_DEFAULT_MODEL
configLMSTUDIO_HOSTLM Studio server URL
configLMSTUDIO_DEFAULT_MODEL
configSUPERMEM_DB_PATHSQLite database path
configSUPERMEM_VAULT_PATHMarkdown vault directory
configSUPERMEM_KUZU_PATH
configSUPERMEM_CHROMA_PATH
configSUPERMEM_EMBEDDING_PROVIDER
configSUPERMEM_EMBEDDING_MODEL
configSUPERMEM_VECTORSet true to enable ChromaDB tier
configSUPERMEM_MAX_TOOL_TURNS
configSUPERMEM_SANDBOX_TIMEOUT
configSUPERMEM_COMPRESS_EVERYObservations written before LLM compression
configSUPERMEM_OBS_TTL_DAYSRetention window for regular observations (0 disables TTL expiry)
🔐 secretSUPERMEM_API_KEYBearer token required for primary MCP HTTP and protected Worker HTTP endpoints (fail closed if unset)
configSUPERMEM_RATE_LIMITRequests/minute limit per client identity across MCP tools
configSUPERMEM_WORKER_PORTHTTP dashboard port
configSUPERMEM_WORKER_HOST
configSUPERMEM_MIN_RESULTS
configSUPERMEM_MAX_RETRIEVAL_TIER
configSUPERMEM_DEFAULT_TIER_LIMITDefault lifecycle-aware retrieval ceiling; values above 3 are capped
configSUPERMEM_TIER4_PERSIST
configSUPERMEM_LOG_LEVEL
configSUPERMEM_LOG_FORMAT
configLMSTUDIO_BASE_URL
// 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

8/8 tools missing one or more hints — use_memory_agent (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); supermem_hybrid (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_timeline (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +5 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 2 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
[![M8ven Score](https://m8ven.ai/badge/mcp/lamenting-hawthorn/supermem)](https://m8ven.ai/mcp/lamenting-hawthorn/supermem)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 036bc4d23713435e6e965ae2254545a880e3d1c4
code hash: 7b896de544836f23108ac9b41db47cd465bf46742b2d0405583c6699554f95fd
verified: 9/3/2026, 11:28:16 AM
view raw JSON →
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