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glama

AIBrain

A personal, offline-first memory for AI assistants that enables them to read, search, and write to a shared folder of Markdown files, so they all remember you without needing a cloud.

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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 2 credentials: LLM_API_KEY, OPENROUTER_API_KEY
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.
configLLM_ENDPOINT2. Copy .env.example → .env; set to your local model (e.g. LM Studio http://localhost:1234/v1).
🔐 secretLLM_API_KEY
configLLM_MODEL
🔐 secretOPENROUTER_API_KEYegress; only the optional cloud tidy-up, if you set +
configLIBRARIAN_MODEL, makes a call).
configEMBEDDING_PROVIDER
configEMBEDDING_MODEL
configGRAPH_DB_PROVIDER
configVECTOR_DB_PROVIDER
configBRAIN_DIRMCP config at lib/mcp_server.py with set). One brain, every AI.
// 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 5 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/nitishkashyapr-unified-ai-memory-d1k28j)](https://m8ven.ai/mcp/nitishkashyapr-unified-ai-memory-d1k28j)
commit: ef1b93895497c6abd7999b9ed3d2c7413cdf3a1a
code hash: 607b2a7bc724b3a3f4653180e7631672fe37b28cdc36c8e431665e8a686587be
verified: 7/21/2026, 8:46:19 AM
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