quantaoptima

jdhart81/quantaoptima
★ 0 stars Python AI/LLM Updated 1d ago
Audit trails for AI agent workflows, with an MCP server, Python library, and quantum-inspired optimizer.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "quantaoptima": {
      "command": "uvx",
      "args": [
        "quantaoptima"
      ]
    }
  }
}

Or install with pip: pip install quantaoptima

README Excerpt

**Auditable AI Actions — cryptographic audit trails for AI agent workflows.** QuantaOptima authenticates explicitly logged AI agent action records. It ships as an MCP server that any LLM agent can call, and as a Python library that any MCP server developer can embed. Explicitly recorded actions are authenticated with HMAC-SHA256 and linked in a hash chain. Verification detects changes to authenticated record contents; it does not establish that an action occurred or that all actions were recorde

Topics

ai-agentsaudit-trailmcp-serveroptimizationpython