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Today's read

AI Pulse for Tuesday 21 July

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Under the Radar

A repo claiming to be a leaked, cleaned-up "Claude Fable 5" system prompt went from zero to 330 stars in 3 days.

Repackaged as portable Markdown for use with other vendors' models (Gemini, GPT), can't verify authenticity, but it's a clean example of.

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"Agent memory" tools are multiplying into a real category, not one viral repo.

At least four independent GitHub projects this week chase "agents forget everything between sessions": `deja-vu` (433 stars/7 days, zero-dep local.

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An "agent authorization control plane" repo hit 251 stars in 24 hours on pure launch velocity.

`Agent-Execution-Partnership` authorizes every AI agent action before it runs, keeps it observable while running, and verifies it after, a.

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Community builders are wiring Claude Code straight into Robinhood's new agentic trading MCP, faster than the official rollout got press.

Robinhood opened a Trading MCP server any client can connect to in under 60 seconds, within days a community GitHub wrapper (`robinhood-for-agents`).

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"Model routing" is spreading as a builder pattern independent of Ramp's own PR.

A well-followed AI-engineering commentator (omarsar0) amplified Ramp Router unprompted, and a separate open-source agent CLI (`KlaatAI/klaatcode`, 45.

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Narrow, single-purpose "skill as a product" pipelines are outrunning general agent frameworks.

`img2threejs` (image → animation-ready Three.js code) hit 209 stars/day, one of the fastest-growing repos in today's whole harvest, `novel-to-game`.

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AI Trends Pulse

Frontier Labs Watch

Business Models & Winners

What a typical morning covers

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Under the Radar

The corners-of-the-internet finds before mainstream press notices. Reddit, X, YouTube, Hacker News, and indie builder chatter, filtered to what is actually spreading.

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AI Trends Pulse

The releases and workflows worth knowing about, with the one line on why each one matters and a link to the source.

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Frontier Labs Watch

The business and strategic moves of the labs building the models: pricing, funding, partnerships, and where the competition is heading.

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Business Models & Winners

What AI-native and AI-adjacent companies are doing well right now. Pricing, growth, and the plays worth learning from.

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