loom

Provides persistent identity and memory for AI agents across MCP-compatible harnesses, enabling agents to retain their name, values, and episodic memories between sessions regardless of the client or model.

→ jbarket/loom · listed on glama

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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 1 credential: LOOM_BEARER_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.

🔐 secretLOOM_BEARER_TOKEN

configLOOM_CLIENT— , LOOM_MODEL) are honored.

configLOOM_CONTEXT_DIR— per-command usage. All global env vars (,

configLOOM_FASTEMBED_CACHE_DIR— ~/.cache/loom/fastembed/ Where to cache ONNX models

configLOOM_FASTEMBED_MODEL— fast-bge-small-en-v1.5 fastembed model ID

configLOOM_HTTP_HOST

configLOOM_HTTP_PORT

configLOOM_KNOWLEDGE_DB_PATH

configLOOM_MODEL— LOOM_CLIENT, ) are honored.

configLOOM_QDRANT_COLLECTION

configLOOM_QDRANT_URL

configLOOM_SQLITE_DB_PATH— context>/memories.db Override the memory DB path

// 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/jbarket-loom-1kcyi9)](https://m8ven.ai/mcp/jbarket-loom-1kcyi9)

commit: 9633f6dfc4bb23505b865454551ba6dc79a28b95

code hash: a48d469902ae44e273f3268f68f0f72a028380d8feb3a949cae0e4f1d1005d7b

verified: 6/15/2026, 2:20:32 PM

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