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        "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e 140K+ stars | 21K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner The performance optimization system for AI agent harnesses.",
        "From an Anthropic hackathon winner.",
        "A complete system: skills, instincts, memory optimization, continuous learning, security scanning, and research-first development."
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        "Language: English | Portugu\u00eas (Brasil) | \u7b80\u4f53\u4e2d\u6587 | \u7e41\u9ad4\u4e2d\u6587 | \u65e5\u672c\u8a9e | \ud55c\uad6d\uc5b4 | T\u00fcrk\u00e7e 140K+ stars | 21K+ forks | 170+ contributors | 12+ language ecosystems | Anthropic Hackathon Winner The performance optimization system for AI agent harnesses.",
        "Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.",
        "- Public surface synced to the live repo \u2014 metadata, catalog counts, plugin manifests, and install-facing docs now match the actual OSS surface: 38 agents, 156 skills, and 72 legacy command shims."
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        "The workshop includes four themes: (1) AI for physical synthesis and design for manufacturing (DFM), discussing challenges in physical manufacturing process and potential AI applications; (2) AI for high-level and logic-level synthesis (HLS/LLS), covering p...",
        "The report recommends NSF to foster AI/EDA collaboration, invest in foundational AI for EDA, develop robust data infrastructures, promote scalable compute infrastructure, and invest in workforce development to democratize hardware design and enable next-gen...",
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        "The workshop includes four themes: (1) AI for physical synthesis and design for manufacturing (DFM), discussing challenges in physical manufacturing process and potential AI applications; (2) AI for high-level and logic-level synthesis (HLS/LLS), covering p...",
        "Computer Science > Machine Learning [Submitted on 20 Jan 2026 (v1), last revised 24 Apr 2026 (this version, v4)] Title:Report for NSF Workshop on AI for Electronic Design Automation View PDF HTML (experimental)Abstract:This report distills the discussions a..."
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        "confidence": 7.45,
        "actionability": 3.5
      },
      "why_made_cut": "Signal 9.0, Confidence 7.5, and Impact 5.6 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "Homepage \u2022 Discord \u2022 GitHub \u2022 Codeberg English (Default) \u2022 Espa\u00f1ol \u2022 \u0641\u0627\u0631\u0633\u06cc \u2022 Filipino \u2022 Fran\u00e7ais \u2022 Indonesia \u2022 Italiano \u2022 \u65e5\u672c\u8a9e \u2022 \u1797\u17b6\u179f\u17b6\u1781\u17d2\u1798\u17c2\u179a \u2022 \ud55c\uad6d\uc5b4 \u2022 Polski \u2022 Portugu\u00eas Brasil \u2022 \u0420\u0443\u0441\u0441\u043a\u0438\u0439 \u2022 \u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22 \u2022 T\u00fcrk\u00e7e \u2022 \u0423\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430 \u2022 Ti\u1ebfng Vi\u1ec7t \u2022 \u4e2d\u6587 LocalSend is a free, open...",
      "whats_new": "There might be backports of newer versions for Windows 7 in the future.",
      "key_details": [
        "- About - Sponsors - Screenshots - Download - How It Works - Getting Started - Contributing - Troubleshooting - Building LocalSend is a cross-platform app that enables secure communication between devices using a REST API and HTTPS encryption.",
        "Unlike other messaging apps that rely on external servers, LocalSend doesn't require an internet connection or third-party servers, making it a fast and reliable solution for local communication.",
        "Browser testing via It is recommended to download the app either from an app store or from a package manager because the app does not have an auto-update.",
        "| Windows | macOS | Linux | Android | iOS | Fire OS | |---|---|---|---|---|---| | Winget | App Store | Flathub | Play Store | App Store | Amazon | | Scoop | Homebrew | Nixpkgs | F-Droid | || | Chocolatey | DMG Installer | Snap | APK | || | EXE Installer | A..."
      ],
      "results_evidence": [
        "Compatibility | Platform | Minimum Version | Note | |---|---|---| | Android | 5.0 | - | | iOS | 12.0 | - | | macOS | 11 Big Sur | Use OpenCore Legacy Patcher 2.0.2 (See #1005) | | Windows | 10 | The last version to support Windows 7 is v1.15.4.",
        "There might be backports of newer versions for Windows 7 in the future.",
        "| Traffic Type | Protocol | Port | Action | |---|---|---|---| | Incoming | TCP, UDP | 53317 | Allow | | Outgoing | TCP, UDP | Any | Allow | Also make sure to disable AP isolation on your router."
      ],
      "limitations_unknowns": [
        "However, if you are having trouble sending or receiving files, you may need to configure your firewall to allow LocalSend to communicate over your local network."
      ],
      "practical_next_steps": [
        "Reproduce one claim with a public baseline and fixed evaluation settings.",
        "Check robustness on out-of-distribution or long-context cases.",
        "Track whether independent teams report matching results."
      ]
    }
  ],
  "reality_check": {
    "read_time": "1-2 min",
    "items": [
      {
        "story_id": "gh:1201656210",
        "title": "MemPalace/mempalace: The best-benchmarked open-source AI memory system. And it's free.",
        "url": "https://github.com/MemPalace/mempalace",
        "source_domain": "github.com",
        "category_label": "Benchmark",
        "overall": 8.0,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 7.5,
          "confidence": 7.83,
          "actionability": 6.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "yes",
          "baselines_ablations": "yes",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "gh:1136590548",
        "title": "affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
        "url": "https://github.com/affaan-m/everything-claude-code",
        "source_domain": "github.com",
        "category_label": "Agent",
        "overall": 8.01,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 8.12,
          "confidence": 7.03,
          "actionability": 6.5
        },
        "badges": [
          "repo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "arxiv:oai:arXiv.org:2601.14541v4",
        "title": "Report for NSF Workshop on AI for Electronic Design Automation",
        "url": "https://arxiv.org/abs/2601.14541",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.24,
        "metrics": {
          "signal": 9.43,
          "novelty": 4.0,
          "impact": 2.0,
          "confidence": 8.7,
          "actionability": 6.5
        },
        "badges": [
          "paper",
          "demo"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "yes",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      },
      {
        "story_id": "arxiv:oai:arXiv.org:2604.24432v1",
        "title": "Kwai Summary Attention Technical Report",
        "url": "https://arxiv.org/abs/2604.24432",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.24,
        "metrics": {
          "signal": 9.43,
          "novelty": 4.0,
          "impact": 2.0,
          "confidence": 8.7,
          "actionability": 6.5
        },
        "badges": [
          "paper"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "no",
          "baselines_ablations": "no",
          "third_party_corroboration": "no",
          "reproducibility_details": "yes"
        },
        "what_would_change_my_mind": [
          "Independent replication with comparable or better results.",
          "Public benchmark numbers with clear baseline comparisons."
        ],
        "likely_failure_mode": "Performance may collapse outside curated demos or narrow tasks."
      }
    ]
  },
  "lab_notes": {
    "tool_repo_of_the_day": {
      "title": "affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "url": "https://github.com/affaan-m/everything-claude-code",
      "source_domain": "github.com"
    },
    "prompt_workflow_of_the_day": "summarize claim -> evidence -> risk in three passes before acting",
    "tiny_snippet": "uv run python -m msd.run --scheduled"
  },
  "forecast_watchlist": {
    "read_time": "1-2 min",
    "watch_prefix": "Watch:",
    "topics": [
      "agent",
      "llm",
      "cs.ai",
      "cs.lg",
      "rss",
      "cs.cl",
      "python",
      "benchmark"
    ],
    "subscribe": {
      "label": "Subscribe for Daily Emails",
      "url": "mailto:morning-singularity-digest@localhost?subject=Subscribe%20for%20Daily%20Emails"
    }
  }
}