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OpenClaw Lightweight Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware

Go OpenClaw PicoClaw

Sipeed has released PicoClaw an OpenClaw micro alternative that uses 99% less memory than . , an open-source AI assistant written in Go that runs in under 10MB of RAM and boots in about one second. Designed for low-cost Linux boards starting around $10, it supports multiple LLM providers, chat platform integrations, and automation workflows. The project is MIT-licensed and available on GitHub.

OpenClaw Alternative Launches: A 10MB AI Assistant That Runs on $10 Hardware
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@kala added a new tool PicoClaw , 1 week ago.
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@varbear shared a link, 1 week ago
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Thoughts on the job market in the age of LLMs

The job market for AI professionals is challenging due to the high demand for senior talent and the importance of proving oneself as a junior employee. Hiring practices in AI are constantly evolving with the complexity and pace of progress in language models. Open-source contributions and meaningful.. read more  

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Understanding the Go Compiler: The Linker

Go’s linker stitches together object files from each package, wires up symbols across imports, lays out memory, and patches relocations. It strips dead code, merges duplicate data by content hash, and spits out binaries that boot clean - with W^X memory segments and hooks into the runtime... read more  

Understanding the Go Compiler: The Linker
VMware vSphere is an enterprise virtualization platform that abstracts physical compute, storage, and networking resources into pooled virtual infrastructure. It consists primarily of ESXi, the hypervisor installed on bare metal servers, and vCenter Server, which provides centralized management, clustering, and automation. vSphere enables features such as live migration (vMotion), high availability, distributed resource scheduling, snapshots, and role-based access control. It is used by IT teams and enterprises to run traditional workloads, private clouds, and infrastructure foundations for higher-level platforms such as Kubernetes.