From the meLink team
Category: Agentic AI
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An AI Memory Receipt Makes Useful Recall Accountable
An AI memory receipt makes each retained detail visible: what it is, why it is kept, who owns it, and…
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DeepMind Calls for Rules as AI Agent Identity Gets Real
DeepMind urges a standards body while AWS advances signed bot verification. The missing layer for practical AI agents is identity.
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An AI Exit Plan: Why Every Business Agent Needs One
An AI exit plan protects customers, data and teams when a workflow changes, fails, or simply outlives its purpose.
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Anthropic’s Claude Values Study Shows Why Agent Safety Is Contextual
Anthropic’s Claude values-by-language study shows why agents need contextual testing, clear boundaries and reliable human handoffs.
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Your AI Workflow Needs a Release Notes Habit
AI workflow versioning turns model, prompt, and policy changes into accountable releases customers and teams can trust.
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Ollama’s Agent UI Is a Useful Signal on a Quiet AI News Day
Ollama’s new agent UI is a useful prompt for builders: design permissions, review and model choice before the next frontier…
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Every AI Agent Needs a Spend Limit Before More Autonomy
AI spend limits make token costs, retries, and human review an operating rule, so useful agents stay economically useful.
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vLLM 0.25 Makes Open Model Serving More Product-Ready
vLLM 0.25 upgrades the serving layer for open AI models, while Ollama and llama.cpp sharpen local agent and edge options.
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AI Knowledge Expiry: Why Your Assistant Needs It
AI knowledge expiry keeps stale pricing, policies, and promises from becoming confident mistakes. Give every source an owner and review…
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Apple Sues OpenAI for Trade Secret Theft as Safety Head Exits
Apple accuses OpenAI of leadership-directed trade secret theft, OpenAI’s safety head departs, UK finds GPT-5.6 jailbreaks, Meta retreats on Instagram…