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glama

Hebbrix MCP Server

Provides long-term memory and a temporal knowledge graph for AI agents, enabling persistent memory and reasoning across sessions.

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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: HEBBRIX_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.
configHEBBRIX_API_BASE
🔐 secretHEBBRIX_API_KEY"": "mem_sk_...",
configHEBBRIX_COLLECTION_ID"": "your-default-collection-uuid"
configHEBBRIX_MCP_HOST127.0.0.1 Bind host (HTTP transports)
configHEBBRIX_MCP_PORT8080 Bind port (HTTP transports)
configHEBBRIX_MCP_MULTI_TENANToff Hosted mode: per-request Authorization header auth
configHEBBRIX_CONFIG~/.hebbrix/config.json Where agent-mode credentials are saved
configCLAUDECODE
configCURSOR_TRACE_ID
// 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/hebbrix-hebbrix-mcp-17mpst)](https://m8ven.ai/mcp/hebbrix-hebbrix-mcp-17mpst)
commit: 9515ad5785dec0a07f6f3db7bd6cce76ee17f7a1
code hash: 7fa19022c1386d75fc21d38f3c7ebf74935260c2b434782cc3285c91a55795c2
verified: 7/9/2026, 10:01:59 AM
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