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Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

HoneyHTTPD is a Python-based web server honeypot/service imitation builder. Great for honeypots or faking HTTP services.

Trust metadata for AI agents — a stamp costs ~15 tokens, re-verifying costs 15,000. Agents stamp what they verify; the next agent runs 'akf check' and builds on it. pip install akf

  • ai
  • compliance
  • file-format
  • llm