The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. Loop engineering is replacing yourself as the person who prompts the agent. You design the system that does it instead. A loop here can be thought of as a recursive goal where you define a purpose and […]
In this tutorial, we build an OpenHarness style agent harness from scratch to see how a practical agent system works. We recreate the core building blocks: tool use, typed tool schemas, permissions, lifecycle hooks, memory, skills, context compaction, retry logic, cost tracking, and multi-agent coordination. We expose the full control flow instead of treating the framework as a black box. We keep everything runnable so we can experiment without API keys or extra infrastructure.
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Napoli's proactive contract talks with Di Lorenzo highlight their commitment to stability and leadership, reinforcing long-term club vision.
The post Napoli to meet with Giovanni Di Lorenzo’s agent in July for contract renewal talks appeared first on Crypto Briefing.
Boris Cherny argues that the industry's future belongs to loop engineering—a paradigm where AI agents autonomously generate and iterate on their own prompts
Perplexity has launched Brain, a self-improving memory system for its Computer agent. Instead of remembering the user, Brain remembers the agent's work — what worked, what failed, and what corrections got made. It builds a traceable context graph, reviews it overnight, and reports early gains in correctness, recall, and cost.
The post Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight appeared first on MarkTechPost.
Insider Brief One of artificial intelligence’s longest-running challenges is building systems that can improve both how they operate and what they know without requiring constant human intervention. A research team now reports that a new approach could shatter that bottleneck. In a study published on the preprint server arXiv, researchers at Palo Alto-based Hexo Labs […]
Salesforce has agreed to acquire AI customer service platform Fin, formerly known as Intercom, for $3.6 billion, with the deal expected to close in early 2027. Fin offers an AI agent that resolves customer queries across live chat, WhatsApp, SMS, phone, Slack, and other channels. Salesforce said it intends to integrate Fin’s technology and team […]
