OpenWiki now integrates with @cursor_ai! https://t.co/KhOvx0z0dU
— LangChain (@LangChain) 2 septembre 2026
OpenWiki now integrates with @cursor_ai
!
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OpenWiki now integrates with @cursor_ai! https://t.co/KhOvx0z0dU
— LangChain (@LangChain) 2 septembre 2026
OpenWiki now integrates with @cursor_ai
!

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Agent frameworks keep changing because tool calling never solved the runtime. A tool schema tells the model how to call one function. It does not decide who owns the loop, where state lives, what counts as done, or how recovery works. @NVIDIAAI
's NOOA takes a different
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WebMCP means this is starting to happen

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Designing For A World Of #AIAgents, Not Just Human Users
by Fabrice Martin @Forbes Learn more: https://
bit.ly/4i3ghmt #GenAI #ArtificialIntelligence #MachineLearning #MI
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Everyone has their own way of looking at AI use. Should you use local AI and invest in equipment to have more freedom and keep sensitive information separate? Should you use SaaS and work at scale? Or something in between. Are you more comfortable [Traduit de FR vers EN]
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run agent harnesses 100% private & offline.
— Akshay 🚀 (@akshay_pachaar) 2 septembre 2026
(no token costs, no API keys, 100% open-source)
your agent runs locally. the model doesn't. every prompt, every file, and every secret still leaves your machine before the agent does anything with it.
Magnitude fixes that. it's an… https://t.co/7PmBZQW8LB pic.twitter.com/OJPZU43y8U
run agent harnesses 100% private & offline. (no token costs, no API keys, 100% open-source) your agent runs locally. the model doesn't. every prompt, every file, and every secret still leaves your machine before the agent does anything with it. Magnitude fixes that. it's an
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Agent traces shouldn’t only be useful to infra teams
— Harrison Chase (@hwchase17) 2 septembre 2026
For most builders, the fastest way to debug an agent is to replay the conversation + tool calls in the shape the agent experienced them
That’s the idea behind Messages View in LangSmith https://t.co/bn7THvtukD
Agent traces shouldn’t only be useful to infra teams For most builders, the fastest way to debug an agent is to replay the conversation + tool calls in the shape the agent experienced them That’s the idea behind Messages View in LangSmith
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In another case of it being quicker to build a tool than hunt around to find something that does what you need, here's a little vibe-coded thing for turning one or more GeoJSON shapes into a rendered PNG
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As they don’t really care about the link graph but might care about crawlability my suggestion would be having an LLM of your choice build a subdomain for them. (Wouldn’t be a subdomain if I had free rein but some platform limitations.)

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Just noticed the ChatGPT desktop app (previously named Codex) bundles a full copy of the LibreOffice open source office suite, tucked away in a hidden folder in the ~/.cache directory