System Architecture
A decoupled, fully autonomous multi-agent mesh. Designed specifically around the native constraints of Windows and strict hardware sovereignty.
The Primary Orchestrator
Topological DAG Planner
Before outputting a single line of code, the Orchestrator rapidly spins up a Directed Acyclic Graph (DAG), mapping exact logic steps and sub-agent dependencies, evaluating deep code-base contexts using claude - 3 - 7 - sonnet via API.
The 300-Node Swarm
`asyncio.gather` Protocol
Instead of single-thread, linear outputs, the Orchestrator simultaneously triggers dozens of sub-agents using native asyncio.gather concurrency, allowing rapid 50+ file deployments near-instantly.
Local First, Cloud Augmented
Multi-Model Synthesis
Kratyx primarily operates utilizing high-speed local processing (vLLM, Ollama), pivoting to o3 - mini only for extreme reasoning barriers, maintaining ultimate privacy and speed parity.
Topological DAG Planner
The central intelligence of Kratyx.It acts as the "Brain," determining intent and dynamically compiling execution paths on the fly.It translates raw user intent into a Directed Acyclic Graph(DAG) of logical dependencies, ensuring prerequisite modules execute in perfectly aligned chronological order.
- Native Circular Dependency Resolution
- Deterministic Node-Ranking Algorithm
- Real-time Intent Translation
- Race-Condition Elimination
The asyncio.gather Protocol
Kratyx ships with 300 distinct, specialized python - based tooling modules.The Orchestrator summons exactly the tools it needs, deploying independent, self - contained agents across massive parallel thread pools to solve complex, multi - stage problems simultaneously without human intervention.
- Massive Parallel Thread Pools
- ConvergenceAgent Failure Isolation
- Dynamic Thread Re-Spawning
- Native Python Asynchronous Mapping