Work & Research

TECHNICAL OVERVIEW ------------------ BasecampAgent V1 was developed to solve the latency overhead found in modern AI frameworks. By utilizing direct LLAMA.CPP calls and raw Python, the system achieves direct communication with the hardware, specifically optimized for the STRIX HALO architecture. MULTI-TIER HARDWARE ORCHESTRATION --------------------------------- The architecture dynamically offloads tasks between disparate hardware units to balance speed and reasoning depth: // ORCHESTRATOR (AMD RX 9070) Handles fast-logic routing, the primary chat interface, and immediate tool execution. // HEAVY AGENT (STRIX HALO) Utilizes 128GB Unified Memory for deep-research tasks and long-form reasoning chains that would overflow standard VRAM buffers. HARDWARE-LOCKED TOOLING ----------------------- To maintain system stability on shared memory architectures, a MUTEX-BASED LOCKING SYSTEM was implemented. This ensures that the iGPU is not overloaded by simultaneous requests from different sub-agents. KEY FEATURES ------------ - SMART_SEARCH: Parallelized web scraping and synthesis. - DEEP_THINK: Delegated long-form reasoning. - EXECUTE_COMMAND: Direct Ubuntu bash integration. - STATE-AWARE INJECTION: Hardware status (Busy/Available) is fed into every prompt. PERFORMANCE DATA ---------------- RESULT: 35% REDUCTION IN TTFT Measured against standard LangChain-based local implementations. NOTES ----- While V1 proved the efficacy of "No-Framework" agency, the roadmap for V2 involves moving toward a more modular system to balance performance with ease-of-use.