https://aitoolchain.io/tools/open-kritt New releases and features in open-kritt, tracked by The AI Toolchain. en Wed, 12 Aug 2026 14:41:06 GMT https://github.com/Kritt-ai/open-kritt/releases/tag/v1.4.0 https://github.com/Kritt-ai/open-kritt/releases/tag/v1.4.0 Wed, 12 Aug 2026 14:41:06 GMT open-kritt v1.4.0 adds a headless runner, scan findings export, steps binding, and memory-aware engine controls. • Introduces the `kritt-headless` runner for executing scans on remote machines without a UI. • Adds export of completed scan findings, enabling practitioners to retrieve scan results for offline analysis or reporting. • Adds memory-aware runner admission and controls to the engine, preventing runners from being scheduled when memory thresholds would be exceeded. • Adds deterministic resume ordering controls to the engine, giving operators predictable restart behavior across paused scans. • Adds community star support to the frontend UI. https://github.com/Kritt-ai/open-kritt/releases/tag/v1.3.0 https://github.com/Kritt-ai/open-kritt/releases/tag/v1.3.0 Tue, 04 Aug 2026 14:38:37 GMT open-kritt v1.3.0 adds ENGINE_IGNORE_LOW_STORAGE, separate post-processing models, scaled provider accounts, and a privacy-safe sharing loop. • Adds `ENGINE_IGNORE_LOW_STORAGE` advanced setting for deployments where host disk usage is not a concern. • Supports separate post-processing models, allowing different models to be configured for the post-processing stage independently of the primary scan model. • Scales provider accounts and scan processing to handle larger workloads. • Hardens scan runtime and account handling for more robust operation. • Adds a privacy-safe sharing loop in the frontend. • Displays the active worker model and harness in the UI for better operational visibility. • Improves active worker status display in the frontend.