curl -fsSL https://
openclaw.ai/install.sh | bash
TOOLS
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OpenClaw AI installation script release announcement
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Summarize 0.13 Released with Video Slides and GPT-5.4 Support
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📝Summarize 0.13 is out! 🎞️ Local video slides (–slides) 🤖 More model backends (GitHub Copilot) 🧠 Better GPT-5.4 support 📺 Better media handling (HLS detection.m3u8) It graduated from my tap to official homebrew formula! 🍺 brew install summarize github.com/steipete/summariz…
→ View original post on X — @scobleizer, 2026-04-08 00:08 UTC
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How to Use the Stock Analyzer Skill in AI Agent
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To use, just ask the Agent to use the stock analyzer skill, or click the + button from the input box after logging in and select the "stock analyzer skill"
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Local AI Agents Running on Mac M1 Hardware
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Hello OpenClaw, Hermes Agent, @Apple and whoever else.
— Jeramie Hicks (@JeramieHicks) 7 avril 2026
Today was the day where I finally get to throw my hat in the ring.
Local agentic ai on an old Mac M1 pic.twitter.com/0pT4hgtRbzHello OpenClaw, Hermes Agent, @Apple and whoever else. Today was the day where I finally get to throw my hat in the ring. Local agentic ai on an old Mac M1
→ View original post on X — @scobleizer, 2026-04-07 23:46 UTC
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Codex Improves Daily for OpenClaw Code Generation
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What option do they have – pay for Claude API? Just kidding – Codex is getting better everyday for OpenClaw.
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Data Viewer Tool for AI Model Performance Benchmarking
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Data viewer: https://
petergpt.github.io/bullshit-bench
mark/viewer/index.v2.html
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Codex hits 3M weekly users, rate limits reset for builders
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Insane that 3,000,000 of you use codex every week! Thanks for all your support, feature requests and bug reports! To celebrate Tibo has reset the rate limits, time to build is NOWWW!
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Codex Resets Usage Limits at 3 Million Weekly Users
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To celebrate 3 million weekly codex users, we are resetting usage limits. We will do this every million users up to 10 million. Happy building!
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Codex and ChatGPT Pro for Open Source Development
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did we set you up with codex for open source? if not, would love to get you a chatgpt pro sub to experience codex!
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LangSmith: Tracing and Evals for Agent Optimization
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LangSmith 🤝 San Francisco
— LangChain (@LangChain) 7 avril 2026
You don't know what your agents will do until you actually run them. What works in demos can break in the real world.
Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then… pic.twitter.com/MmN9KLlfRtLangSmith 🤝 San Francisco You don't know what your agents will do until you actually run them. What works in demos can break in the real world. Without tracing and evals, you're just guessing at why. Track what your agent actually does. Optimize and fix your agents. Then measure whether your fixes work. That loop is how agents get better, and LangSmith is built to power that workflow.