209 summarised stories about Agent Infrastructure, each linking back to the original source. Browse all topics →
Product Hunt 2 months ago 25
AgentSky is a platform that enables cloud-hosted AI agents to work with any harness and any large language model. The service appears to be launching as a general-purpose agent deployment tool without disclosed pricing or availability details. Users can now run agents across different LLM backends without being locked into a single provider or infrastructure setup.
The New Stack 2 months ago 21
AI agents that call tools become production execution surfaces requiring strict permission boundaries, not just prompt engineering. The article presents a reference architecture with a deterministic policy layer that validates tool access through role-based authorization, immutable risk policies, argument schema validation, and approval gates before execution. Production teams must move away from relying on natural-language tool descriptions for security and instead implement governed registries, audit logging, and architecture that lets agents propose tool calls while a policy layer makes final execution decisions.
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TLDRocket
24 October 2026
AI’s center of gravity keeps shifting from “chat” to action, and today that shows up in the places people actually talk: texts and voices. Instinct, which just raised $1 billion and is now valued at $10 billion, is pushing AI agents that live inside SMS and iMessage/RCS and then do chores—scheduling, shopping, research—without asking users to install yet another app. Under the hood, developers are getting more serious about state. Letta’s agentic engineering copilot leans on “Core Memory” and shared, updatable state blocks, plus semantic retrieval and custom tools; in the tutorial, it bulk-loaded six knowledge passages into archival memory so the system can persist project context across turns and coordinate among agents.
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