Multi Turn Python Packages

hermes-blind

Recovers the original goal of a long Claude Code or Codex session from its first user turn, so you can restate it before continuing — plus a prompt wrapper that adds evidence and hedging constraints to evaluation prompts. Deterministic, local, no model calls. Experimental.

afterimage

Generate conversational, tool-calling, structured-output, and preference datasets — easily and at scale

gaze-vlm

Grounded agentic framework for medical vision-language models: viewer-level image tools, multi-turn tool use, and PubMed/Open-i literature retrieval

te-drift-detector

Experimental Python tool for inspecting language and task-framing changes across long AI conversations.