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2026-10-03 互联网学习扫描

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tagsharvest, daily

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Codex 核验（2026-10-09） 本篇为原日期采集快照。Stars、points、评论数、排序和截断摘要均不是截至核验日的实时统计；GitHub“作者”是仓库拥有者，HN“作者”通常是投稿账号，arXiv 字段可能只列部分作者，应以链接原文署名为准。

2026-10-03 互联网学习扫描

扫描日期: 2026-10-03 总条数: 29 条 来源: V2EX + HackerNews + arXiv + GitHub Trending

affaan-m / ECC

  • 来源: https://github.com/affaan-m/ECC
  • 来源类型: github-trending-daily
  • 作者: affaan-m
  • 热度: 954
  • 评分: 11
  • 主题: ai-agent, ops, papers
  • 摘要: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards

  • 来源: https://arxiv.org/abs/2610.02206v1
  • 来源类型: arxiv-cs-ai
  • 作者: Muzammal Naseer
  • 评分: 10
  • 主题: ai-agent, tools, ops, papers
  • 摘要: LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts’ intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do not directly measure LLMs’ ability to generate executable comm

Panniantong / Agent-Reach

  • 来源: https://github.com/Panniantong/Agent-Reach
  • 来源类型: github-trending-daily
  • 作者: Panniantong
  • 热度: 1683
  • 评分: 10
  • 主题: ai-agent, tools
  • 摘要: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

earendil-works / pi

  • 来源: https://github.com/earendil-works/pi
  • 来源类型: github-trending-daily
  • 作者: earendil-works
  • 热度: 408
  • 评分: 10
  • 主题: ai-agent, tools
  • 摘要: AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI

Show HN: Pi pod – Run your pi coding agent in sandboxes on your own server

  • 来源: https://pipod.dev/
  • 来源类型: hn-frontpage
  • 作者: edverma2
  • 热度: 51
  • 评分: 9
  • 主题: ai-agent, tools
  • 摘要: pi pod runs sessions of the pi coding agent in isolated sandboxes (“pods”) on a server you run, in composable environments.----Since moving my company towards AI-native work, I have been really frustrated by the state of “agentic engineering” environments. Products by the labs (c

Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents

  • 来源: https://arxiv.org/abs/2610.02204v1
  • 来源类型: arxiv-cs-ai
  • 作者: Haozhi Qi
  • 评分: 9
  • 主题: ai-agent, tools, ops, papers
  • 摘要: Building reliable robot capabilities across diverse tasks requires substantial human effort to develop and maintain skills, design rewards, and integrate perception with control. We present Reconstruct, Practice, Go Real (RPG), a framework for autonomous improvement of robot execution systems withou

thedotmack / claude-mem

  • 来源: https://github.com/thedotmack/claude-mem
  • 来源类型: github-trending-daily
  • 作者: thedotmack
  • 热度: 218
  • 评分: 9
  • 主题: ai-agent
  • 摘要: Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

mksglu / context-mode

  • 来源: https://github.com/mksglu/context-mode
  • 来源类型: github-trending-daily
  • 作者: mksglu
  • 热度: 256
  • 评分: 9
  • 主题: ai-agent
  • 摘要: Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.

anthropics / claude-code

  • 来源: https://github.com/anthropics/claude-code
  • 来源类型: github-trending-daily
  • 作者: anthropics
  • 热度: 127
  • 评分: 9
  • 主题: ai-agent
  • 摘要: Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

jamwithai / production-agentic-rag-course

ScholarCatalyst: A Benchmark for Retrieving Papers That Inspire New Research

  • 来源: https://arxiv.org/abs/2610.02202v1
  • 来源类型: arxiv-cs-ai
  • 作者: Chelsea Finn
  • 评分: 7
  • 主题: ai-agent, tools, ops, papers
  • 摘要: What makes great scientists great? Even as AI systems start to make progress on open problems, scientists remain far ahead of them at sensing which prior idea, buried in an ever-growing archive of research, a new problem needs. To study this skill, we draw on researchers who know firsthand which ear

DietrichGebert / ponytail

  • 来源: https://github.com/DietrichGebert/ponytail
  • 来源类型: github-trending-daily
  • 作者: DietrichGebert
  • 热度: 1289
  • 评分: 7
  • 主题: ai-agent
  • 摘要: Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

JuliusBrussee / caveman

  • 来源: https://github.com/JuliusBrussee/caveman
  • 来源类型: github-trending-daily
  • 作者: JuliusBrussee
  • 热度: 505
  • 评分: 7
  • 主题: ai-agent
  • 摘要: 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.

addyosmani / agent-skills

  • 来源: https://github.com/addyosmani/agent-skills
  • 来源类型: github-trending-daily
  • 作者: addyosmani
  • 热度: 305
  • 评分: 7
  • 主题: ai-agent
  • 摘要: Production-grade engineering skills for AI coding agents.

obra / superpowers

  • 来源: https://github.com/obra/superpowers
  • 来源类型: github-trending-daily
  • 作者: obra
  • 热度: 578
  • 评分: 7
  • 主题: ai-agent, tools
  • 摘要: An agentic skills framework & software development methodology that works.

mattpocock / skills

  • 来源: https://github.com/mattpocock/skills
  • 来源类型: github-trending-daily
  • 作者: mattpocock
  • 热度: 750
  • 评分: 7
  • 主题: ai-agent
  • 摘要: Skills for Real Engineers. Straight from my .agents directory.

相比 AI 的能力，觉得更可怕是它进步的速度、变化的幅度。

  • 来源: https://www.v2ex.com/t/1246322
  • 来源类型: v2ex
  • 作者: edgeedge
  • 评分: 6
  • 主题: ai-agent, tools
  • 摘要: 在 Reddit 看到一位做游戏开发的老哥发飙，说 AI 先在的能力，开始让他都不知道怎么排期了…… https://www.reddit.com/r/gamedev/comments/1wo5asm/comment/pdnbnwt/?context=3&sort=confidence V2EX 上也有朋友，表达了类似感受。我的个人经历： 23 年，收集、打磨提示词。 24 年，研究 LangChain 、AutoGen 、n8n 、Dify ，开发我的 Agentic 工作流 25 年，研究 MCP 、长期记忆、编程 Spec 26 年，把之前的积累，做成 Skills 、以及 Skills

FTL: A new operating system for clouds

cloudflare / cloudflare-os

  • 来源: https://github.com/cloudflare/cloudflare-os
  • 来源类型: github-trending-daily
  • 作者: cloudflare
  • 热度: 84
  • 评分: 6
  • 主题: ai-agent, ops
  • 摘要: Agent workspace built on Cloudflare Workers for creating documents, building apps, and running agents with your company’s context and systems.

getsentry / sentry

  • 来源: https://github.com/getsentry/sentry
  • 来源类型: github-trending-daily
  • 作者: getsentry
  • 热度: 211
  • 评分: 6
  • 主题: ops
  • 摘要: Developer-first error tracking and performance monitoring

Kolibri: A Sovereign Open-Weight Model

Loss of cell identity drives human aging: Two new papers

C++ Insights – See your source code with the eyes of a Compiler

Show HN: Graphene – Data analysis toolkit for your coding agent

  • 来源: https://github.com/graphene-data/graphene
  • 来源类型: hn-frontpage
  • 作者: kcmarr
  • 热度: 19
  • 评分: 5
  • 主题: ai-agent, tools
  • 摘要: My friend and I have worked at a number of BI companies and thought: Can’t a coding agent do most of this now?Almost. They just need a context/semantic layer to ensure query correctness and some kind of artifact for publishing findings and visualizations.We built an open source project called G

VISTA: A Visual Harness for Reasoning in an Interactive World

  • 来源: https://arxiv.org/abs/2610.02200v1
  • 来源类型: arxiv-cs-ai
  • 作者: Kaiming He
  • 评分: 5
  • 主题: ai-agent
  • 摘要: We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive environments. We introduce VISTA, a visual harness that gives a general-purpose multimodal model long-horizon vision. VISTA allows th

DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication

  • 来源: https://arxiv.org/abs/2610.02161v1
  • 来源类型: arxiv-cs-ai
  • 作者: Junshan Zhang
  • 评分: 5
  • 主题: ai-agent, tools, ops
  • 摘要: Vision-language models (VLMs) and vision-language-action models (VLAs) have recently driven rapid progress in general-purpose robots, yet most progress has focused on single-robot settings. Extending these capabilities to multi-robot systems remains challenging because robots must coordinate long-ho

From Knowledge Access to Source Learning: Developing Source-Specific Competence

  • 来源: https://arxiv.org/abs/2610.02150v1
  • 来源类型: arxiv-cs-ai
  • 作者: Haohan Wang
  • 评分: 5
  • 主题: ai-agent, ops
  • 摘要: Large language model (LLM) agents increasingly rely on persistent external sources to solve sequences of knowledge-intensive tasks. Existing methods improve how source content is accessed and organized, while agent-memory systems preserve reusable knowledge from prior interactions, but repeated use

pbakaus / impeccable

  • 来源: https://github.com/pbakaus/impeccable
  • 来源类型: github-trending-daily
  • 作者: pbakaus
  • 热度: 705
  • 评分: 5
  • 主题: ai-agent
  • 摘要: The design language that makes your AI harness better at design.

Effect-TS / effect

  • 来源: https://github.com/Effect-TS/effect
  • 来源类型: github-trending-daily
  • 作者: Effect-TS
  • 热度: 302
  • 评分: 5
  • 主题: tools
  • 摘要: Build production-ready applications in TypeScript

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