Agent Workflows · greyhaven-ai/autocontext

Lets a Hermes agent run Autocontext scenarios, inspect Hermes curator state, export reusable knowledge and prepare local MLX or CUDA training data through the autoctx CLI.

greyhaven-ai/autocontext

Runs LLM-based rubric judging on agent output and loops revise-and-rejudge rounds until a quality threshold is met.

greyhaven-ai/autocontext

Reads and moves the playbooks and lessons that Autocontext has already learned, using the autoctx CLI and plain files on disk.

greyhaven-ai/autocontext

Runs the `autoctx` CLI to improve an approach to a task over several generations, score or refine a single output and inspect what a run produced.

greyhaven-ai/autocontext

Operational notes for generating, evaluating and debugging strategies in the autocontext grid_ctf scenario, with tier rules and parameter ranges that worked or failed.

greyhaven-ai/autocontext