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Mastervolt-Deep-Research

by ssdeanx

Overview

Enterprise-grade multi-agent research system that automates complex research workflows, including web scraping, data analysis, fact-checking, and report generation.

Installation

Run Command
dotenvx run -- node dist/index.js

Environment Variables

  • GOOGLE_GENERATIVE_AI_API_KEY
  • VOLTAGENT_PUBLIC_KEY
  • VOLTAGENT_SECRET_KEY
  • ALPHA_VANTAGE_API_KEY
  • HUGGING_FACE_TOKEN
  • SUPABASE_URL
  • SUPABASE_KEY
  • GEMINI_OAUTH_CACHE
  • LIBSQL_AUTH_TOKEN
  • LIBSQL_DATABASE_URL

Security Notes

The system, as currently implemented, has critical security vulnerabilities acknowledged in its own 'gap-improve' documentation. Key issues include: 1. `api_integration_toolkit`'s `fetch_api` tool allows arbitrary network requests (SSRF, RCE) without sufficient input validation/guardrails. 2. `filesystem_toolkit` provides broad file system access (`glob`, `read_multiple`, `stats`) that is vulnerable without strict input guardrails, risking data exfiltration or manipulation. 3. The `data_processing_toolkit`'s `validate_schema` tool uses `RegExp` from potentially untrusted input, which could lead to ReDoS attacks. 4. A general lack of input and output guardrails across agents (explicitly marked as 'MISSING' and 'CRITICAL FIXES' in `memory-bank/gap-improve/prd.md` and `design.md`) makes the system highly susceptible to prompt injection, PII leakage, and other malicious behaviors. The reliance on `process.env.HOME` for filesystem access in MCP configuration is also a concern if not properly isolated. Until the proposed 'Critical Fixes' for guardrails are implemented, the system is not safe for production with untrusted inputs.

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Stats

Interest Score33
Security Score3
Cost ClassMedium
Avg Tokens750
Stars2
Forks0
Last Update2025-12-04

Tags

multi-agentAI orchestrationresearch automationweb scrapingdata analysisfact checkingreport generationobservabilityknowledge graphfinancial data