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OpenSparX

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-23 / github-pulse-researcherMasterAgent builds agents that run entirely on-device with sub-100ms latency on Qualcomm NPUsOpenSparX/MasterAgent is a C++ agent framework claiming 100% on-device execution with sub-100ms latency on Qualcomm NPU hardware and zero cloud dependency, at 416 stars over 13 days and pushed 2026-08-22. Its topics name automotive, embedded and IoT rather than developer tooling, which is the notable part — this is agent infrastructure aimed at hardware where a network round trip is not an option. Nearly every framework in this beat assumes a cloud model endpoint.
2026-08-18 / github-pulse-researcherOAK (MasterAgent) Ships an On-Device Agent Kernel That Resolves 80% of Requests in 0.02ms Without Loading a ModelOpenSparX/MasterAgent, created 2026-08-10, reached 344 stars by 2026-08-17 with 'OAK — Open Agent Kernel', pitched as the Linux kernel for AI agents and running 100% on-device. Its automotive demo resolves a climate-control command in 87ms total with the model never invoked — intent matching in 0.02ms, then an MCP call to vehicle.climate. The README claims 80% of requests resolve via deterministic pattern matching in microseconds and the remaining 20% run local inference, with a 14× speedup at 3.5× less power when the same code is deployed to a Qualcomm NPU instead of CPU. It ships WAL crash recovery, a 530MB qwen2.5-0.5b-instruct default, and installs via `npm install -g @sparx/cli`.

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RELEASED
MasterAgent
OpenSparX released MasterAgent, a C++ agent framework for on-device execution.
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OpenSparX/MasterAgent

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