74
/ 100
22 days ago
glama

random-agent

Enables multi-worker autonomous agent orchestration: decompose complex tasks, run parallel workers, auto-review, and generate follow-up tasks via the Model Context Protocol.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAGENT_OS_BASE_PATH"": "C:\\agent-os"
configAGENT_OS_COORDINATOR_SCRIPT
configAGENT_OS_LOOP_INTERVAL5 Coordinator loop interval (seconds)
configAGENT_OS_MAX_WORKERS5 Max concurrent worker processes
configAGENT_OS_OPENCODE_EXE
configAGENT_OS_STALL_THRESHOLD90 Seconds before worker is considered stuck
// 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 7 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/randomchips-random-agent-t38rlx)](https://m8ven.ai/mcp/randomchips-random-agent-t38rlx)
commit: 2133c69c04f78fef782f1d7e884ac71b4856bede
code hash: c79d5cd3db502d92d8eb3aa3894045e39f99acf84b86966b5327da78fdaa11e4
verified: 6/18/2026, 10:30:28 AM
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random-agent · M8ven Trust Score | M8ven