CogniRoute is an adaptive AI orchestration runtime for autonomous software engineering. Instead of relying on one giant model for every task, CogniRoute dynamically routes work across specialized agents with scoped context and distinct responsibilities. Heavyweight reasoning models handle planning and verification, while lightweight bounded workers execute localized implementation tasks. The system externalizes execution state into structured markdown planning documents, enabling persistent shared cognitive memory, deterministic orchestration, and verifier grounding. Workers never receive the entire repository, reducing hallucination drift, context pollution, and unnecessary reasoning compute. Built using FastAPI, OpenAI-compatible vLLM inference, and Qwen models running on AMD MI300X GPUs with ROCm acceleration, CogniRoute explores a future where AI systems evolve from monolithic context windows into structured orchestration runtimes composed of bounded specialists and adaptive cognitive scheduling.
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