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      "title": "affaan-m/ECC: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
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      "context": "| Topic | What You'll Learn | |---|---| | Token Optimization | Model selection, system prompt slimming, background processes | | Memory Persistence | Hooks that save/load context across sessions automatically | | Continuous Learning | Auto-extract patterns...",
      "whats_new": "Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.",
      "key_details": [
        "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 | \u0420\u0443\u0441\u0441\u043a\u0438\u0439 | Ti\u1ebfng Vi\u1ec7t | \u0e44\u0e17\u0e22 | Deutsch 182K+ stars | 28K+ forks | 170+ contributors | 12+ language ecosystems | Cross-harness agent workflows Language / \u8bed\u8a00 / \u8a9e\u8a00 / Dil / \u042f\u0437\u044b\u043a / Ng\u00f4n ng...",
        "Built from real-world multi-harness engineering workflows.",
        "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 | \u0420\u0443\u0441\u0441\u043a\u0438\u0439 | Ti\u1ebfng Vi\u1ec7t | \u0e44\u0e17\u0e22 | Deutsch 182K+ stars | 28K+ forks | 170+ contributors | 12+ language ecosystems | Cross-harness agent workflows Language / \u8bed\u8a00 / \u8a9e\u8a00 / Dil / \u042f\u0437\u044b\u043a / Ng\u00f4n ng...",
        "Production-ready agents, skills, hooks, rules, MCP configurations, and legacy command shims evolved over 10+ months of intensive daily use building real products.",
        "ECC v2.0.0-rc.1 adds the public Hermes operator story on top of that reusable layer: start with the Hermes setup guide, then review the rc.1 release notes and cross-harness architecture."
      ],
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        "Generalization outside curated tasks is still unclear."
      ],
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        "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."
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      "whats_new": "We propose \\textsc{Ptah}, a multi-agent harness for interleaved report generation.",
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        "However, verifiable multimodal deep research remains challenging due to open-ended synthesis without deterministic ground truth and the need to interleave textual arguments with visual evidence.",
        "We propose \\textsc{Ptah}, a multi-agent harness for interleaved report generation.",
        "\\textsc{Ptah} orchestrates the lifecycle from user query to rendered web report through planning, research, and writing stages, where specialized agents construct visual-aware plans, collect claim-grounded evidence, maintain source-aligned images in a \\text...",
        "A verifier agent serves as the harness's acceptance function, enforcing factual grounding, citation fidelity, and cross-modal consistency throughout the workflow."
      ],
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        "arXiv:2605.29861v1 Announce Type: cross Abstract: Large Language Models (LLMs) have advanced autonomous agents from deep search, which retrieves concise factual answers, to deep research, which synthesizes scattered evidence into long-form reports.",
        "Computer Science > Computation and Language [Submitted on 28 May 2026] Title:Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation View PDF HTML (experimental)Abstract:Large Language Models (LLMs) have advanced..."
      ],
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        "However, verifiable multimodal deep research remains challenging due to open-ended synthesis without deterministic ground truth and the need to interleave textual arguments with visual evidence."
      ],
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      "overall": 6.39,
      "metrics": {
        "signal": 8.37,
        "novelty": 5.1,
        "impact": 2.7,
        "confidence": 8.25,
        "actionability": 6.5
      },
      "why_made_cut": "Signal 8.4, Confidence 8.2, and Impact 2.7 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "The canonical open research repository for indigenous, federated, and regionally-grounded AI development across the Western Hemisphere.",
      "whats_new": "Regional AI Strategy The first comprehensive framework for responsible, representative, inclusive, and scalable AI development across the Western Hemisphere.",
      "key_details": [
        "Maintained by GENIA Americas Corporation \u2014 the operating infrastructure of artificial intelligence across the Americas \u2014 in coordination with the RaceFor.AI network and the Glapagos AI platform.",
        "This repository covers the full technical, strategic, and policy surface of GENIA Americas' work: - Glapagos: AI DevOps and data orchestration platform for multi-jurisdiction deployment across North, Central, and South America - RaceFor.AI: the hemispheric...",
        "\u251c\u2500\u2500 docs/ Core documentation and architecture references \u2502 \u251c\u2500\u2500 manifesto.md The RaceFor.AI Manifesto (Felipe Castro Quiles, CEO) \u2502 \u251c\u2500\u2500 whitepaper.md Full organizational white paper \u2502 \u251c\u2500\u2500 architecture.md System architecture overview \u2502 \u251c\u2500\u2500 glossary.md Termino...",
        "Congress) \u2014 full analysis \u2502 \u251c\u2500\u2500 regional-frameworks.md Regulatory landscape by nation \u2502 \u251c\u2500\u2500 ethics-charter.md Ethical AI commitments and audit standards \u2502 \u2514\u2500\u2500 compliance/ Jurisdiction-specific compliance templates \u2502 \u251c\u2500\u2500 strategy/ Regional AI Strategy docume..."
      ],
      "results_evidence": [
        "Unites 35 nations' industrial strengths under a coordinated vision."
      ],
      "limitations_unknowns": [
        "Generalization outside curated tasks is still unclear."
      ],
      "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",
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      {
        "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": 7.53,
          "confidence": 7.83,
          "actionability": 6.5
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          "repo"
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          "primary_source": "yes",
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          "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/ECC: 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/ECC",
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        "category_label": "Agent",
        "overall": 8.02,
        "metrics": {
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          "novelty": 6.2,
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          "confidence": 7.03,
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        },
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          "repo"
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          "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:2605.29861v1",
        "title": "Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation",
        "url": "https://arxiv.org/abs/2605.29861",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.42,
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          "signal": 9.43,
          "novelty": 5.1,
          "impact": 2.0,
          "confidence": 8.7,
          "actionability": 6.5
        },
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          "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:2605.26186v2",
        "title": "SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?",
        "url": "https://arxiv.org/abs/2605.26186",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
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          "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/ECC: 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/ECC",
      "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"
    }
  }
}