/3 Most agent context is too noisy before it even reaches the model. Headroom compresses tool outputs, logs, files, and RAG chunks before they hit the LLM, cutting token usage by 60–95% while keeping the answers intact. It works as a Python/TypeScript library, zero-code proxy,
TOOLS
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Top AI repos: creative ideation, loop engineering, token cost reduction, extraction
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Top AI Repos of the Week (June 19 – 26) 1. Hermes Creative-Ideation skill: 22 methods to break your agent's creative rut 2. Loop engineering: design the system that prompts agents for you 3. Headroom: cut LLM token costs 60-95% without losing answers 4. Hyperextract: turn
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AI video: from great idea to finished shot in an afternoon
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the distance between a great idea and a finished shot used to be a budget.
— Nico (@nicos_ai) 26 juin 2026
now it’s an afternoon.
magnific + byteplus seedance 2.0: industrial grade video, usable on the first try https://t.co/WjYsZZaGcMthe distance between a great idea and a finished shot used to be a budget. now it’s an afternoon. magnific + byteplus seedance 2.0: industrial grade video, usable on the first try
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White House Limits GPT-5.6, AI Avatar Confession, and More
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Top stories in AI today: – The White House limits GPT-5.6 release
– Rowan’s Corner: The AI avatar confession
– Give your AI agent a credit card (safely)
– Anthropic flags Alibaba’s ‘largest’ distillation attack
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Google’s Hidden MCP Config on Gemini macOS Raises Questions
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Google has a hidden MCP integration config on Gemini for macOS but it is yet unclear if MCPs will ever become available over there. Tbh, I am not getting why it is that challenging to simply enable MCPs across Gemini products. It is quite an essential feature that opens up a
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This guy made AI so powerful that grandma uses Claude Code
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This guy has single handedly made sure AI is so powerful and widely used that even my grandma now uses Claud code
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Overcoming fear of Grok’s knowledge for agentic news reading
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Grok knows everything. It knows all my good, all my bad, and all my evil. It knows how I think and everything about my last 20 years. It's a little scary, but once you get over the fear and apply it to agentic thinking, all of a sudden I have an AI that reads the news for me.
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RMUX: True multiplexer for agent-based workflows with dynamic panes
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3/ because RMUX is a true multiplexer first, you aren't just launching a fragile web wrapper. You get a real environment perfectly designed for modern, agent-based workflows. → Safely inspect long-running AI shells
→ Resize splits and manage panes dynamically
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Loop Engineering: Building Systems That Prompt Agents Instead
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A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING. The core shift: stop prompting the agent. Build the system that prompts it. Inside the autonomous loop: – Discover → Finds its own work (failing CI, open issues).
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SakanaAI and Azusa Audit launch CoffeeBench for LLM agents
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SakanaAIは、有限責任あずさ監査法人と共同で、LLMエージェントの長期的な経営能力を評価する新しいベンチマーク「CoffeeBench」を公開しました。
— Sakana AI (@SakanaAILabs) 26 juin 2026
ブログ：https://t.co/kUOiyV2moe
現実の経済では、消費者へ直接売るビジネスだけでなく、企業同士が継続的に取引するビジネスも重要です。CoffeeBench… pic.twitter.com/mpUirKc8kDSakanaAI, in collaboration with Azusa Audit Corporation, published a new benchmark called "CoffeeBench" to evaluate the long-term management capabilities of LLM agents. Blog: https://sakana.ai/coffee-bench/ In the real economy, companies that sell