Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Your agent finally stops forgetting. Permanent memory. Local memory infrastructure. API-provider agnostic. Surgically token-efficient. Seven memory layers. Automatic, intelligent context injection.
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...
XDA Developers on MSN
I used Meta Llama 4, Qwen 3-Coder and Gemma 4 to develop a Python app, and only one model is worth keeping for developers
Putting some of the best local models to the development test ...
MEMANTO is a memory agent. It remembers, recalls, and answers — so your agents can achieve long-term goals and avoid confusion. Most memory tools are passive infrastructure — agents have to query them ...
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