MemRL

Memory-augmented reinforcement learning system that captures coding sessions as episodes, learns from successful problem-solving patterns, and provides semantic search to retrieve relevant past experiences.

→ anvanster/tempera · listed on pulsemcp

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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.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configORT_DYLIB_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 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/anvanster-tempera-5cxua3)](https://m8ven.ai/mcp/anvanster-tempera-5cxua3)

commit: 3e6f0e5dd0fb8efbdcf3bd99f9f78a15536a2959

code hash: 81ef17fe533fdb36d0f053359cec4b8e1279d5c94d16fa9cb09a37d61d01a9bc

verified: 6/9/2026, 11:14:13 AM

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