hermes-labs-ai/hermes-blind
9 stars · Last commit 2026-09-20
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.
README preview
# Hermes Blind **Recover the original goal of a long Claude Code or Codex session—and add evidence constraints to evaluation prompts.** [](https://pypi.org/project/hermes-blind/) [](https://pypi.org/project/hermes-blind/) [](https://github.com/hermes-labs-ai/hermes-blind/actions/workflows/ci.yml) [](https://github.com/hermes-labs-ai/hermes-blind/blob/main/LICENSE) [](#evidence-and-limits) Long agent sessions can lose the shape of the request that started them. Hermes Blind reads the first user turn from a local Claude Code or Codex JSONL log and writes a compact recovery anchor you can inspect and paste back into the session. It also provides a small prompt wrapper for evaluations that asks the model to disclose prior exposure, quote its evidence, and hedge when the evidence is thin. The package is deterministic, dependency-free at runtime, and local: it makes no model calls and sends no network requests.