Deploy natural language instructions to an agentic multi-core processor sandbox. Inject chaos exceptions, run automated repairs, and rollback ledger histories seamlessly.
Six dedicated co-processors manage steps from planning to deployment in a visual LangGraph thread.
Inject artificial tracebacks to observe how the auto-corrector diagnoses, resolves, and repairs tasks.
HydraDB journals audit logs and timeline snapshots, allowing developers to roll the system back to any point.
Compiles conversational requests into actionable tasks. Decomposes large goals into detailed checklists and step dependencies.
Generates modular React layout structures, Tailwind styles, and FastAPI backend endpoints directly to the workspaces.
Launches automated test scripts, runs static checks, and evaluates code behavior against initial plan objectives.
Monitors compilation trace logs, parses execution errors, drafts in-place code hotfixes, and automatically retries tests.
Compiles the fully verified codebase, builds production assets, and restarts service endpoints safely.
Writes immutable states, snapshot logs, and changes to the central database, establishing timeline rollbacks.
🖥️ PROMPT MODE
An interactive chat-based workspace interface where natural language commands are translated directly into core task plans. Supports context attachment and full project configuration schemas.
⚙️ DEVCORE MODE
The core orchestrator manager console. Displays live system log trace streams, file writing operations, testing feedback loops, and status summaries across all 6 physical cores.
💥 CHAOS MODE
An active disruption simulator that injects artificial compilation tracebacks, division-by-zero faults, and file lock errors to stress-test the auto-correction resilience loops.
⏳ KRATOS OS MODE
The snapshot history ledger navigator. Records full-state workspaces, configuration logs, and timeline journal actions, enabling developers to roll the workspace state back seamlessly.
Kratos OS orchestrates agentic tasks through a cyclic state management model powered by LangGraph. Below is the operational sequence triggered when a user issues an intent prompt:
Llama 3.3 vectorizes raw prompt strings into validated JSON schemas, selecting target file buffers and routing requirements.
Core 00 (Planner) maps constraints, compiles target checklists, and establishes file dependencies.
Core 01 (Coder) accesses plan objectives and writes modular modules directly to local directories.
Core 02 (Tester) validates source code. If assertions fail, Core 03 (Self-Corrector) reviews trace logs and applies repairs.
Data reliability is managed using a zero-trust dual journal system, linking edge execution with cloud database states:
Stores live snapshots at `/tmp/hydradb.db` in serverless modes and `hydradb.db` in local modes. Preserves strict hash audits of plan states, corrected source scripts, and chronological execution timelines.
Enables rollback recovery by capturing snapshots at every step transition. Restores plan checkmarks, disk buffers, and co-processor logs, letting you reverse chaotic system faults instantly.