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turing_AgentMemory_MCP

TuringDB-backed Agent Memory MCP server with provider-agnostic embedding and rerank integrations, memory lifecycle tools, document ingest, and cited retrieval.

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// 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: GLINER_METADATA_KEY, AGENTMEMORY_AUTH_TOKEN, TURINGDB_AUTH_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configTURINGDB_AGENT_QUALITY_HOMEdocker compose run --rm -e =/tmp/turing-agent-quality -v D:\Aura:/aura:ro --entrypoint python e2e /work/scripts/agent_quality_eval.py --aura-root /aura
configEMBED_BASE_URLembeddings at for EMBED_DIMENSIONS-dimensional vectors,
configEMBED_DIMENSIONSembeddings at EMBED_BASE_URL for -dimensional vectors,
configEMBED_MODELEMBED_BASE_URL, , EMBED_DIMENSIONS, EMBED_API_KEY,
configRERANK_BASE_URLthen optional rerank at for final seed ordering.
configRERANK_MODELRERANK_BASE_URL, , RERANK_DIMENSIONS, RERANK_API_KEY,
configTURINGDB_BENCH_HOME
configBENCHMARK_GIT_COMMIT
configGIT_COMMIT
configGLINER_MODELGLINER_ENABLED, GLINER_BACKEND, , GLINER_LABELS,
configGLINER_BACKENDGLINER_ENABLED, , GLINER_MODEL, GLINER_LABELS,
configGLINER_LABELSGLINER_ENABLED, GLINER_BACKEND, GLINER_MODEL, ,
configGLINER_THRESHOLD, GLINER_REDACT, GLINER_PRECISION, GLINER_PROVIDERS.
🔐 secretGLINER_METADATA_KEY
configGLINER_PRECISIONGLINER_THRESHOLD, GLINER_REDACT, , GLINER_PROVIDERS.
configGLINER_PROVIDERSGLINER_THRESHOLD, GLINER_REDACT, GLINER_PRECISION, .
configAGENTMEMORY_REDACTION_ENABLED1 enables built-in secret/API-key/email
configAGENTMEMORY_AUDIT_JSONL/turing/audit/agentmemory.jsonl writes structured
configAGENTMEMORY_LAB_BENCHMARK_DIR
configMEMORYARENA_BUCKET_BASE
configMEMORYARENA_DATASET_BASE
configMEMORYARENA_JSONL
configMEMORYARENA_TIMEOUT_SECONDS
configAGENTMEMORY_OBSERVABILITY_JSONL/turing/audit/spans.jsonl writes timing
configAGENTMEMORY_OBSERVABILITY_STDERR
configPROVIDER_API_KEY_HEADERand PROVIDER_API_KEY_SCHEME customize auth for
configPROVIDER_API_KEY_SCHEMEPROVIDER_API_KEY_HEADER and customize auth for
configTURINGDB_EMBED_DIMENSIONS
🔐 secretAGENTMEMORY_AUTH_TOKENor AGENTMEMORY_AUTH_TOKENS is set.
configAGENTMEMORY_AUTH_CLIENT_ID, AGENTMEMORY_AUTH_SCOPES, and
configTURINGDB_URLThe MCP service expects a TuringDB daemon reachable at and a
🔐 secretTURINGDB_AUTH_TOKEN
configTURINGDB_GRAPH
configTURINGDB_HOMEshared TuringDB home mounted at . TuringDB currently loads vectors
configAGENTMEMORY_UTCP_SERVER_NAMEoptional , AGENTMEMORY_UTCP_MCP_COMMAND, and
configAGENTMEMORY_UTCP_MCP_COMMANDoptional AGENTMEMORY_UTCP_SERVER_NAME, , and
configAGENTMEMORY_UTCP_AUTH_ENVcustomize the generated Universal Tool Calling
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// 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
[![M8ven Score](https://m8ven.ai/badge/mcp/chetto1983-turing-agentmemory-mcp-18hsop)](https://m8ven.ai/mcp/chetto1983-turing-agentmemory-mcp-18hsop)
commit: ed55b9e8cacd8ef067745c33c1dc9fe748a3b8c5
code hash: 931ebc26572e1fe24cc436a7cca36f312e749a14f1409e3a5c3263d8f79b8c91
verified: 7/10/2026, 10:06:12 AM
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