1/ The viral advice says make persona.md, lessons.md, references.md, glossary.md, and more. Claude Code does not read most of them. It auto-loads a specific set of files. The rest just sit there unless you import them by hand.
AGENTS
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NVIDIA Metropolis VSS 3: Video Search and Summarization with 16 New Skills
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NVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here.
— NVIDIA AI (@NVIDIAAI) 24 juin 2026
Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new:
– 16 new agent skills: Search, summarize, alert, report,… pic.twitter.com/UojjUu8orkNVIDIA Metropolis Blueprint for video search and summarization (VSS) 3 is here. Now your coding agent can analyze massive live streams and libraries of videos with a simple natural language prompt. Here's what's new: – 16 new agent skills: Search, summarize, alert, report,
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My AI agent reads 30,000 posts daily and picks best
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That's cool. I did the same to build: https://
alignednews.com/ai (my agent reads 30,000 posts a day and picks the best). I can't wait to see where you take this. I need to do more like this. -
Databricks: Open Frontier ecosystem for enterprise agents
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Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks https://t.co/UsMi085PlW@databricks cofounders @matei_zaharia and @rxin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared… pic.twitter.com/4Uvocmmn9d
— Latent.Space (@latentspacepod) 24 juin 2026Why the Frontier ecosystem must be open — Matei Zaharia and Reynold Xin, Databricks
https://
latent.space/p/databricks The co-founders of
@databricks @matei_zaharia
and
@rxin
explain why Databricks is entering the infrastructure layer for enterprise agents, -
LangSmith Engine as Sleep Time Calculation
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Memory for agents is often described as a 'sleep time calculation' or 'daydreaming'. This involves running a background process to analyze agent trajectories and update a
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Three-step process for agent memory
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Many agent memories follow a simple three-step process:
– execute the agent
– execute a process to examine those traces and analyze them
– update memory accordingly We show how to do this! -
GitHub blocked by output policy in Claude Code
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Claude Code for the web has just started saying "GitHub is blocked by the output policy", which is a big problem for me because most of my prompts there start with things like "clone simonw/sqlite-utils to /tmp to see the docs in
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New Siri will replace small Google searches for hotkeys
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New Siri is going to eat up so many of the small Google searches. All of the “how do i…” “whats the hotkey for…” Just works.
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Agent memory becomes data management system for LLMs
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// Agent memory is a data system now // Great paper on long-term memory for LLM agents. (bookmark it) Agent memory has grown from simple retrieval into a full data-management layer with storage, retrieval, update, consolidation, and lifecycle governance. Yet most evaluations
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Agentic AI maturity moves from centralized to federated control
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Organizations do not pick one style permanently. They move through them as agentic AI maturity increases, starting with centralized control for initial deployments and gradually federating as processes stabilize.