AI Agents
AI agents are systems that use large language models to plan and take multi-step actions toward a goal — calling tools, using memory, and operating with varying autonomy.
Our coverage of AI agents and agentic systems — runtimes and standards, agent memory, reliability and guardrails, deep-research agents, and the products turning LLMs into autonomous workers.
Latest coverage
Articles
NewsOpenRouter raises $113M Series B as token volume reaches 25T per week
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Anthropic acquires SDK tooling startup Stainless for over $300M
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Anthropic courts the legaltech market with new connectors and plugins for legal work
NewsTekst Raises $13.5M to Build Process Intelligence for AI Agents
DigestUpcoming AI Events in the Bay Area, April to May 2026: DataPhoenix Events Digest
NewsArcee AI releases Trinity-Large-Thinking, a very capable open-weights reasoning model
NewsLegal tech darling Harvey confirms new funding round at a $11B valuation
NewsInterloom raises $16.5M to build an operational knowledge "memory" for enterprise AI agents
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A new benchmark backed by Mercor shows AI agents struggle with real workplace tasks
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Yann LeCun launches world model startup AMI Labs, targets multi-billion dollar valuation
NewsAWS re:Invent 2025: Swami Sivasubramanian unveils major advancements in agentic AI
NewsAWS re:Invent 2025: Next-gen AI infrastructure and improved AI agents take center stage