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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.",
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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 | \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.",
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        "AgentDS consists of 17 challenges across six industries: commerce, food production, healthcare, insurance, manufacturing, and retail banking."
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        "arXiv:2603.19005v3 Announce Type: replace-cross Abstract: Data science plays a critical role in transforming complex data into actionable insights across numerous domains.",
        "AgentDS consists of 17 challenges across six industries: commerce, food production, healthcare, insurance, manufacturing, and retail banking.",
        "We conducted an open competition involving 29 teams and 80 participants, enabling systematic comparison between human-AI collaborative approaches and AI-only baselines."
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        "actionability": 3.5
      },
      "why_made_cut": "Signal 8.4, Confidence 7.5, and Impact 2.6 combined to rank this in the top set.",
      "badges": [
        "repo"
      ],
      "context": "Hey HN,<p>One issue that a lot of teams run into is that they want to switch their configs between different agents e.g.",
      "whats_new": "Hey HN,<p>One issue that a lot of teams run into is that they want to switch their configs between different agents e.g.",
      "key_details": [
        "Claude Code --&gt; Codex or they want to switch out different configs for the same agent e.g.",
        "using a different set of skills and CLAUDE.md for debugging vs feature engineering.<p>We&#x27;ve been working on an open source AI configuration manager.",
        "You can use it to manage &#x2F; maintain your agent configs entirely locally, or share them with the public &#x2F; your team.<p>For example, say I have a few different configs that I want to switch between:<p>- a production-debugging config that I use to ge...",
        "This has strong guardrails around not changing anything and provides a step by step guide on where logs exist<p>- a high-autonomy config that I use for feature work<p>- an admin config that I use for things like making slide decks or recording voice notes<p..."
      ],
      "results_evidence": [
        "Overall 5.9/10 with Signal 8.4 and Impact 2.6.",
        "No explicit benchmark number found in extracted text; treat gains as directional pending replication."
      ],
      "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",
    "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": 8.01,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 7.53,
          "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/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",
        "category_label": "Agent",
        "overall": 8.03,
        "metrics": {
          "signal": 10.0,
          "novelty": 6.2,
          "impact": 8.22,
          "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:2603.19005v3",
        "title": "AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science",
        "url": "https://arxiv.org/abs/2603.19005",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.75,
        "metrics": {
          "signal": 9.43,
          "novelty": 6.2,
          "impact": 2.0,
          "confidence": 9.5,
          "actionability": 6.5
        },
        "badges": [
          "paper"
        ],
        "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": "arxiv:oai:arXiv.org:2603.13384v3",
        "title": "VulnAgent-R2: Evidence-Calibrated Multi-Agent Auditing for Repository-Level Vulnerability Detection",
        "url": "https://arxiv.org/abs/2603.13384",
        "source_domain": "arxiv.org",
        "category_label": "Cs.Ai",
        "overall": 6.42,
        "metrics": {
          "signal": 9.43,
          "novelty": 5.1,
          "impact": 2.0,
          "confidence": 8.7,
          "actionability": 6.5
        },
        "badges": [
          "repo",
          "paper"
        ],
        "checklist": {
          "primary_source": "yes",
          "demo": "no",
          "benchmarks_evals": "yes",
          "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/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"
    }
  }
}