Github Top Repositories
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โก commaai/openpilot is making waves. Here's the full picture.
๐ https://github.com/commaai/openpilot
๐ openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
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openpilot is an operating system for robotics, currently used to upgrade the driver assistance system in over 300 supported cars. The key features of openpilot include its ability to run on various hardware, such as the
The project is developed by comma and the community, with contributions welcomed through pull requests and issues on GitHub. The code is MIT licensed, and the project follows ISO26262 guidelines for safety.
With its
Get ready to shift your driving experience into high gear with openpilot - the future of autonomous driving is here!
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/commaai/openpilot
๐ openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
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openpilot is an operating system for robotics, currently used to upgrade the driver assistance system in over 300 supported cars. The key features of openpilot include its ability to run on various hardware, such as the
comma four, and its extensive documentation. To use openpilot, you need a supported device, software, a supported car, and a car harness. The project is developed by comma and the community, with contributions welcomed through pull requests and issues on GitHub. The code is MIT licensed, and the project follows ISO26262 guidelines for safety.
With its
release-mici and nightly branches, openpilot offers a range of options for users, from stable releases to bleeding-edge development. Whether you're a developer or just a car enthusiast, openpilot is an exciting project to explore. Get ready to shift your driving experience into high gear with openpilot - the future of autonomous driving is here!
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๐ง Channel: https://xn--r1a.website/GithubRe
There are hundreds of AI channels on YouTube. Here's why we made another one.
Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along.
We built Guidely for everyone in between.
โ We start with absolute beginners in mind
โ Then take you deeper, until the details actually click
โ Every guide is reviewed by experienced AI engineers
โ We don't make more content. We make better content.
Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well."
Two good places to start ๐
โ AI vs ML vs Deep Learning vs GenAI ... But Done Right!
The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc
โ How to Break into AI Engineering in 2026
A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU
If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please donโt forget to like and subscribe.
Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along.
We built Guidely for everyone in between.
โ We start with absolute beginners in mind
โ Then take you deeper, until the details actually click
โ Every guide is reviewed by experienced AI engineers
โ We don't make more content. We make better content.
Whether you build, design, or market products, our goal is simple: leave you thinking "I've never seen it broken down this well."
Two good places to start ๐
โ AI vs ML vs Deep Learning vs GenAI ... But Done Right!
The terms everyone uses. The distinctions are almost never explained clearly. We fix that: youtu.be/72yyLA2wRWc
โ How to Break into AI Engineering in 2026
A senior applied scientist shares what actually matters: youtu.be/42vE7Ij4kdU
If AI has ever felt overwhelming or noisy, this channel is for you. If the content resonates with you, please donโt forget to like and subscribe.
YouTube
AI vs ML vs Deep Learning vs GenAI ... But Done Right!
Our blog comparing AI, Machine Learning, Deep Learning, and Generative AI has gained a lot of traction. If you prefer reading, you can check it out here:
https://guidely.tech/blog/ai-vs-machine-learning-vs-deep-learning-vs-genai
But we know not everyoneโฆ
https://guidely.tech/blog/ai-vs-machine-learning-vs-deep-learning-vs-genai
But we know not everyoneโฆ
Github Top Repositories
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๐ก kunchenguid/no-mistakes just hit the trending charts โ here's why it matters.
๐ https://github.com/kunchenguid/no-mistakes
๐ git push no-mistakes
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The
The key features of
To use
From a technical standpoint,
The target audience for
In summary,
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/kunchenguid/no-mistakes
๐ git push no-mistakes
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The
no-mistakes tool is a game-changer for developers who want to ensure their code is clean and error-free before pushing it to the remote repository. Its purpose is to put a local git proxy in front of your real remote, allowing you to push to no-mistakes instead of origin. This triggers a disposable worktree, runs an AI-driven validation pipeline, and forwards the branch to the configured push target only after every check passes, automatically opening a clean PR.The key features of
no-mistakes include its non-blocking nature, which means the pipeline runs in an isolated worktree without disrupting your work. It's also agent-agnostic, supporting various agents like claude, codex, and opencode. Additionally, it allows for agent-native interactions, enabling your coding agent to perform tasks and gate them.To use
no-mistakes, simply run no-mistakes init to initialize the gate, then push your changes to no-mistakes instead of origin. The tool will take care of the rest, running the pipeline and opening a clean PR for you.From a technical standpoint,
no-mistakes is built using Go and utilizes a Makefile for development tasks. The code is well-organized, and the documentation is thorough, making it easy to get started.The target audience for
no-mistakes is developers who want to ensure their code is clean and error-free before pushing it to the remote repository. Whether you're working on a personal project or a large-scale enterprise application, no-mistakes is a valuable tool to have in your toolkit.In summary,
no-mistakes is a powerful tool that helps you kill all the slop and raise clean PRs. With its non-blocking and agent-agnostic nature, it's a must-have for any developer who wants to ensure their code is error-free and clean. So, why not give it a try and experience the power of no-mistakes for yourself? Push smarter, not harder, with no-mistakes!โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
โก grafana/grafana is making waves. Here's the full picture.
๐ https://github.com/grafana/grafana
๐ The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Grafana is an open-source platform for monitoring and observability, allowing you to query, visualize, alert on, and understand your metrics from various storage locations. With fast and flexible client-side graphs and panel plugins, you can create dynamic and reusable dashboards with template variables. Key features include
Technical highlights include support for
With a strong focus on community involvement, Grafana encourages contributing to the project and provides resources such as a
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/grafana/grafana
๐ The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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Grafana is an open-source platform for monitoring and observability, allowing you to query, visualize, alert on, and understand your metrics from various storage locations. With fast and flexible client-side graphs and panel plugins, you can create dynamic and reusable dashboards with template variables. Key features include
Explore Metrics and Explore Logs for ad-hoc queries and dynamic drilldown, as well as Alerting for visually defining alert rules. Technical highlights include support for
Mixed Data Sources, which allows mixing different data sources in the same graph. To get started, you can get Grafana and follow the installation guides. The platform is suitable for teams and individuals looking to foster a data-driven culture. With a strong focus on community involvement, Grafana encourages contributing to the project and provides resources such as a
Contributing guide and Developer guide. Whether you're a developer, a data analyst, or simply a curious individual, Grafana has something to offer. So why not give it a try and experience the power of data visualization - Grafana: where data meets insight.โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
Github Top Repositories pinned ยซThere are hundreds of AI channels on YouTube. Here's why we made another one. Most AI content does one of two things: it stays so surface-level it teaches you nothing, or it goes so deep you need a PhD to follow along. We built Guidely for everyone in between.โฆยป
โก ripienaar/free-for-dev is making waves. Here's the full picture.
๐ https://github.com/ripienaar/free-for-dev
๐ A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
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The free-for-dev GitHub repository is a curated list of software and services that offer free tiers, making it easier for developers to find and utilize these resources. This list is specifically tailored for infrastructure developers, including System Administrators and DevOps Practitioners. With contributions from over 1600 people, it's a comprehensive collection of as-a-Service offerings, including cloud providers, APIs, data and ML services, and more.
Key features of this repository include its scope, which is limited to services that are useful for infrastructure developers, and its
To use this repository, simply browse through the various categories, which include Major Cloud Providers, Cloud management solutions, Analytics, Events, and Statistics, and more. Each category lists the available services, along with their free tier details.
From a technical standpoint, the repository is well-organized, with a clear and concise
The target audience for this repository is infrastructure developers, including System Administrators and DevOps Practitioners. However, it can also be useful for anyone looking for free services to support their development work.
In summary, the free-for-dev repository is a valuable resource for developers, providing a comprehensive list of free services and tools to support their work.
The bottom line: Stop searching, start building with the free-for-dev repository.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/ripienaar/free-for-dev
๐ A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
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The free-for-dev GitHub repository is a curated list of software and services that offer free tiers, making it easier for developers to find and utilize these resources. This list is specifically tailored for infrastructure developers, including System Administrators and DevOps Practitioners. With contributions from over 1600 people, it's a comprehensive collection of as-a-Service offerings, including cloud providers, APIs, data and ML services, and more.
Key features of this repository include its scope, which is limited to services that are useful for infrastructure developers, and its
always-free limits, which ensure that the listed services are free for at least a year. The repository also considers the security perspective of each service, ensuring that services with restricted TLS are not included.To use this repository, simply browse through the various categories, which include Major Cloud Providers, Cloud management solutions, Analytics, Events, and Statistics, and more. Each category lists the available services, along with their free tier details.
From a technical standpoint, the repository is well-organized, with a clear and concise
Table of Contents that makes it easy to navigate. The repository also includes links to the Track Awesome List and other relevant resources.The target audience for this repository is infrastructure developers, including System Administrators and DevOps Practitioners. However, it can also be useful for anyone looking for free services to support their development work.
In summary, the free-for-dev repository is a valuable resource for developers, providing a comprehensive list of free services and tools to support their work.
The bottom line: Stop searching, start building with the free-for-dev repository.
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๐ง Channel: https://xn--r1a.website/GithubRe
โค1
๐ opendatalab/MinerU caught my eye on GitHub Trending today.
๐ https://github.com/opendatalab/MinerU
๐ Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
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Introduction to MinerU: MinerU is a high-accuracy document parsing engine designed for LLM, RAG, and Agent workflows. It supports the conversion of various file formats, including PDF, DOCX, PPTX, XLSX, images, and web pages, into structured Markdown or JSON.
Key Features:
- Native support for parsing DOCX, PPTX, and XLSX
- Dual engine with VLM and OCR capabilities, supporting 109 languages
- Integration with popular frameworks like LangChain, Dify, and FastGPT
- Supports domestic AI chips and offers a range of deployment options, including private and fully offline modes
- Accurate layout reconstruction and table detection
- Automatic header and footer removal
- Cross-page table merging and multi-column layout support
- CLI, REST API, and Docker support for development and integration
Audience: MinerU is designed for developers, researchers, and businesses looking to integrate high-accuracy document parsing capabilities into their workflows.
Takeaway: With MinerU, unlock the full potential of your documents and streamline your workflow with its cutting-edge parsing capabilities and seamless integrations.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/opendatalab/MinerU
๐ Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
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Introduction to MinerU: MinerU is a high-accuracy document parsing engine designed for LLM, RAG, and Agent workflows. It supports the conversion of various file formats, including PDF, DOCX, PPTX, XLSX, images, and web pages, into structured Markdown or JSON.
Key Features:
- Native support for parsing DOCX, PPTX, and XLSX
- Dual engine with VLM and OCR capabilities, supporting 109 languages
- Integration with popular frameworks like LangChain, Dify, and FastGPT
- Supports domestic AI chips and offers a range of deployment options, including private and fully offline modes
Technical Highlights:- Accurate layout reconstruction and table detection
- Automatic header and footer removal
- Cross-page table merging and multi-column layout support
- CLI, REST API, and Docker support for development and integration
Audience: MinerU is designed for developers, researchers, and businesses looking to integrate high-accuracy document parsing capabilities into their workflows.
Takeaway: With MinerU, unlock the full potential of your documents and streamline your workflow with its cutting-edge parsing capabilities and seamless integrations.
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๐ง Channel: https://xn--r1a.website/GithubRe
Github Top Repositories
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๐ก alchaincyf/zhangxuefeng-skill just hit the trending charts โ here's why it matters.
๐ https://github.com/alchaincyf/zhangxuefeng-skill
๐ ๅผ ้ชๅณฐ.skill โ ๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ปใ้ซ่ๅฟๆฟ/่็ /่ไธ่งๅ็ๅฎๆๆ็ปดๆกๆถใ็ฑๅฅณๅจฒ.skill็ๆใ
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ๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ป ไธๆฏ่ฏญๅฝๅ้๏ผ่ๆฏไธๅฅๅฏ่ฟ่ก็ๆ็ปดๆกๆถใๅฎๅบไบ5ๆฌ่ไฝใ15+็ฏๆทฑๅบฆ้่ฎฟใ30+ๆก่ฏญๅฝใ11ไธชๅ ณ้ฎๅณ็ญ่ฎฐๅฝๅๅฎๆดไบบ็ๆถ้ด็บฟ็ๆทฑๅบฆ่ฐ็ ๏ผๆ็ผๅบ5ไธชๆ ธๅฟๅฟๆบๆจกๅใ8ๆกๅณ็ญๅฏๅๅผๅๅฎๆด็่กจ่พพDNAใ่ฟไธชskillๅฏไปฅๅธฎๅฉไฝ ๅๆไธไธ้ๆฉใ่ไธๆนๅๅไบบ็่งๅ็ญ้ฎ้ข๏ผๆไพๆ็กฎ็ๅคๆญๅๅปบ่ฎฎใ
ๆ ธๅฟๅฟๆบๆจกๅ ๅ ๆฌ็คพไผ็ญๅญ่ฎบใ้ๆฉ>ๅชๅใๅฐฑไธๅๆจๆณใ้ถๅฑ็ฐๅฎไธปไนๅไธๅฏๆฟไปฃๆงๆฃ้ช็ญใ่ฟไบๆจกๅๅฏไปฅๅธฎๅฉไฝ ็่งฃ็คพไผ็่ฟไฝ่งๅพใๅๅบๅ็็้ๆฉๅ่งๅไบบ็ใ
ไฝฟ็จๆนๆณ ๅพ็ฎๅ๏ผไฝ ๅฏไปฅ้่ฟ
ๆๆฏไบฎ็น ๆฏ่ฟไธชskillๅบไบๅผๆพ็Agent Skillsๅ่ฎฎ๏ผๅฏไปฅๅจไปปไฝskills-compatible็AI agent runtimeไธญ่ฟ่กใๅนถไธ๏ผๅฎไฝฟ็จไบๅฅณๅจฒ.skill่ฟไธชๅทฅๅ ทๆฅ่ชๅจ่ธ้ฆๅฟๆบๆจกๅๅ่กจ่พพDNAใ
้็จไบบ็พค ๆฏๆๆๆณ่ฆๆ้ซ่ชๅทฑ่ฎค็ฅ่ฝๅๅๅณ็ญๆฐดๅนณ็ไบบ๏ผ็นๅซๆฏๅญฆ็ใ่ๅบไบบๅฃซๅๅไธ่ ใ่ฟไธชskillๅฏไปฅๅธฎๅฉไฝ ๆดๅฅฝๅฐ็่งฃ็คพไผๅ่ชๅทฑ๏ผๅๅบๆดๆๆบ็้ๆฉใ
ๆป็ป๏ผๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ปๆฏไธไธช้ๅธธๅฎ็จ็skill๏ผๅฏไปฅๅธฎๅฉไฝ ๆ้ซ่ฎค็ฅ่ฝๅๅๅณ็ญๆฐดๅนณใๅฎๅบไบๆทฑๅบฆ่ฐ็ ๅๅผๆพ็ๅ่ฎฎ๏ผๅฏไปฅๅจไปปไฝskills-compatible็AI agent runtimeไธญ่ฟ่กใๆไปฅ๏ผ็จๅผ ้ชๅณฐ็่ง่งๆฅๅๆไฝ ็้ฎ้ขๅง๏ผๅฎ่ฃ ๅนถ่ฏ่ฏ็๏ผไฝ ไผๅ็ฐๅฎๅฏนไฝ ็ๅธฎๅฉใไฝ ็ๆชๆฅ๏ผไปไปๅคฉๅผๅงใ
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/alchaincyf/zhangxuefeng-skill
๐ ๅผ ้ชๅณฐ.skill โ ๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ปใ้ซ่ๅฟๆฟ/่็ /่ไธ่งๅ็ๅฎๆๆ็ปดๆกๆถใ็ฑๅฅณๅจฒ.skill็ๆใ
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ๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ป ไธๆฏ่ฏญๅฝๅ้๏ผ่ๆฏไธๅฅๅฏ่ฟ่ก็ๆ็ปดๆกๆถใๅฎๅบไบ5ๆฌ่ไฝใ15+็ฏๆทฑๅบฆ้่ฎฟใ30+ๆก่ฏญๅฝใ11ไธชๅ ณ้ฎๅณ็ญ่ฎฐๅฝๅๅฎๆดไบบ็ๆถ้ด็บฟ็ๆทฑๅบฆ่ฐ็ ๏ผๆ็ผๅบ5ไธชๆ ธๅฟๅฟๆบๆจกๅใ8ๆกๅณ็ญๅฏๅๅผๅๅฎๆด็่กจ่พพDNAใ่ฟไธชskillๅฏไปฅๅธฎๅฉไฝ ๅๆไธไธ้ๆฉใ่ไธๆนๅๅไบบ็่งๅ็ญ้ฎ้ข๏ผๆไพๆ็กฎ็ๅคๆญๅๅปบ่ฎฎใ
ๆ ธๅฟๅฟๆบๆจกๅ ๅ ๆฌ็คพไผ็ญๅญ่ฎบใ้ๆฉ>ๅชๅใๅฐฑไธๅๆจๆณใ้ถๅฑ็ฐๅฎไธปไนๅไธๅฏๆฟไปฃๆงๆฃ้ช็ญใ่ฟไบๆจกๅๅฏไปฅๅธฎๅฉไฝ ็่งฃ็คพไผ็่ฟไฝ่งๅพใๅๅบๅ็็้ๆฉๅ่งๅไบบ็ใ
ไฝฟ็จๆนๆณ ๅพ็ฎๅ๏ผไฝ ๅฏไปฅ้่ฟ
npx skills add alchaincyf/zhangxuefeng-skill ๅฎ่ฃ
่ฟไธชskill๏ผ็ถๅๅ่ฏไฝ ็agent๏ผ"็จๅผ ้ชๅณฐ็่ง่งๅธฎๆๅๆ่ฟไธชไธไธ้ๆฉ" ๆ "ๅผ ้ชๅณฐไผๆไน็่ฟไธช่ไธๆนๅ๏ผ"ใๆๆฏไบฎ็น ๆฏ่ฟไธชskillๅบไบๅผๆพ็Agent Skillsๅ่ฎฎ๏ผๅฏไปฅๅจไปปไฝskills-compatible็AI agent runtimeไธญ่ฟ่กใๅนถไธ๏ผๅฎไฝฟ็จไบๅฅณๅจฒ.skill่ฟไธชๅทฅๅ ทๆฅ่ชๅจ่ธ้ฆๅฟๆบๆจกๅๅ่กจ่พพDNAใ
้็จไบบ็พค ๆฏๆๆๆณ่ฆๆ้ซ่ชๅทฑ่ฎค็ฅ่ฝๅๅๅณ็ญๆฐดๅนณ็ไบบ๏ผ็นๅซๆฏๅญฆ็ใ่ๅบไบบๅฃซๅๅไธ่ ใ่ฟไธชskillๅฏไปฅๅธฎๅฉไฝ ๆดๅฅฝๅฐ็่งฃ็คพไผๅ่ชๅทฑ๏ผๅๅบๆดๆๆบ็้ๆฉใ
ๆป็ป๏ผๅผ ้ชๅณฐ็่ฎค็ฅๆไฝ็ณป็ปๆฏไธไธช้ๅธธๅฎ็จ็skill๏ผๅฏไปฅๅธฎๅฉไฝ ๆ้ซ่ฎค็ฅ่ฝๅๅๅณ็ญๆฐดๅนณใๅฎๅบไบๆทฑๅบฆ่ฐ็ ๅๅผๆพ็ๅ่ฎฎ๏ผๅฏไปฅๅจไปปไฝskills-compatible็AI agent runtimeไธญ่ฟ่กใๆไปฅ๏ผ็จๅผ ้ชๅณฐ็่ง่งๆฅๅๆไฝ ็้ฎ้ขๅง๏ผๅฎ่ฃ ๅนถ่ฏ่ฏ็๏ผไฝ ไผๅ็ฐๅฎๅฏนไฝ ็ๅธฎๅฉใไฝ ็ๆชๆฅ๏ผไปไปๅคฉๅผๅงใ
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๐ง Channel: https://xn--r1a.website/GithubRe
โก mauriceboe/TREK is making waves. Here's the full picture.
๐ https://github.com/mauriceboe/TREK
๐ A self-hosted travel/trip planner with real-time collaboration, interactive maps, PWA support, SSO, budgets, packing lists, and more.
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The TREK GitHub repository is a self-hosted, real-time collaborative travel planner that includes maps, budgets, packing lists, a journal, and AI built-in. Its key features are a drag-and-drop planner, interactive map, place search, and import capabilities, as well as travel management tools like reservations, costs, and packing lists.
For
The ideal audience for TREK includes travelers who want to plan and manage their trips collaboratively, with features like multi-user trips, invite links, and role-based access.
In short, TREK is the ultimate travel planning companion - plan your next trip with TREK and take your adventures to the next level!
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/mauriceboe/TREK
๐ A self-hosted travel/trip planner with real-time collaboration, interactive maps, PWA support, SSO, budgets, packing lists, and more.
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The TREK GitHub repository is a self-hosted, real-time collaborative travel planner that includes maps, budgets, packing lists, a journal, and AI built-in. Its key features are a drag-and-drop planner, interactive map, place search, and import capabilities, as well as travel management tools like reservations, costs, and packing lists.
For
usage, simply run the Docker command provided in the README to get started in 30 seconds. The technical highlights of TREK include its use of NestJS, React, and TypeScript, with real-time sync via WebSocket and authentication via JWT, OAuth, and OIDC. The ideal audience for TREK includes travelers who want to plan and manage their trips collaboratively, with features like multi-user trips, invite links, and role-based access.
In short, TREK is the ultimate travel planning companion - plan your next trip with TREK and take your adventures to the next level!
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๐ง Channel: https://xn--r1a.website/GithubRe
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๐ฅ xbtlin/ai-berkshire is trending โ and it deserves your attention.
๐ https://github.com/xbtlin/ai-berkshire
๐ AI ๆถไปฃ็ไผฏๅ ๅธๅฐ๏ผๅบไบ Claude Code ็ไปทๅผๆ่ต็ ็ฉถๆกๆถใๅทด่ฒ็นยท่ๆ ผยทๆฎตๆฐธๅนณยทๆๅฝๅๅคงๅธๆนๆณ่ฎบ + ๅคAgentๅนถ่ก็ ็ฉถใ| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters' methodologies + multi-agent adversarial analysis.
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AI Berkshire ๆฏไธไธชๅบไบ
ไธป่ฆ็น็น๏ผ
* ไฝฟ็จ
*
*
*
่พๅบ็คบไพ๏ผ
้็จไบบ็พค๏ผ
* ๆ่ต่
* ็ ็ฉถๅ
* ้ๅๅๆๅธ
ไฝฟ็จๆนๆณ๏ผ
* ๅฎ่ฃ
* ไฝฟ็จ
ๆป็ป๏ผ
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/xbtlin/ai-berkshire
๐ AI ๆถไปฃ็ไผฏๅ ๅธๅฐ๏ผๅบไบ Claude Code ็ไปทๅผๆ่ต็ ็ฉถๆกๆถใๅทด่ฒ็นยท่ๆ ผยทๆฎตๆฐธๅนณยทๆๅฝๅๅคงๅธๆนๆณ่ฎบ + ๅคAgentๅนถ่ก็ ็ฉถใ| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters' methodologies + multi-agent adversarial analysis.
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AI Berkshire ๆฏไธไธชๅบไบ
Claude Code ็ๆ่ต็ ็ฉถๆกๆถ๏ผๆจๅจๅฐๅทด่ฒ็นใ่ๆ ผใๆฎตๆฐธๅนณใๆๅฝๅไฝไปทๅผๆ่ตๅคงๅธ็ๆนๆณ่ฎบ็ณป็ปๅใ็ปๆๅ๏ผ้่ฟ AI Agent ๅฎ็ฐไธไธ็บงๆ่ต็ ็ฉถใ่ฟไธชๆกๆถไธไป
ๅฏไปฅๅธฎๅฉๆจ่ฟ่กๆทฑๅบฆ็ ็ฉถ๏ผ่ฟๅฏไปฅๆไพ่ดขๆฅๅๆใ่กไธ็ญ้ใๆไป็ฎก็ๅๆ็ปดๅทฅๅ
ท็ญๅ่ฝใไธป่ฆ็น็น๏ผ
* ไฝฟ็จ
4ไธชAgentๅนถ่ก ็ ็ฉถไธๅฎถๅ
ฌๅธ๏ผๆจกๆ็ๅฎๆ็ ๅข้ๅไฝ*
ๅๅคงๅธ่ง่งๅฏนๆ๏ผๆไพๅค่งๅบฆ็ๅๆ*
็ปๆๅๅๅ่งๆบๅถ๏ผ็กฎไฟๅๆ็่ดจ้ๅๅณ็ญ็็บชๅพ*
้่ๆฐๆฎ็็ฒพ็กฎๆง๏ผๆไพๅฏ้ ็ๆฐๆฎๆฏๆ่พๅบ็คบไพ๏ผ
| ๅ ฌๅธ | ้่ฟ? | ่ฝๅๅ | ๅฅฝ็ๆ | ๆคๅๆฒณ | ็ฎก็ๅฑ | ๅฎๅ จ่พน้ | ็ปผๅ |
|------|:-----:|:------:|:------:|:------:|:------:|:-------:|:----:|
| ่ พ่ฎฏ | ้่ฟ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | 4.7 |
| ็พๅข | ้่ฟ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | โ โ โ โ โ | 4.3 |
้็จไบบ็พค๏ผ
* ๆ่ต่
* ็ ็ฉถๅ
* ้ๅๅๆๅธ
ไฝฟ็จๆนๆณ๏ผ
* ๅฎ่ฃ
Claude Code ๅ AI Berkshire ็ Skills* ไฝฟ็จ
/investment-researchใ/investment-team ็ญๅฝไปค่ฐ็จ็ธๅบ็ Skillsๆป็ป๏ผ
AI Berkshire ๆฏไธไธชๅ่ฝๅผบๅคง็ๆ่ต็ ็ฉถๆกๆถ๏ผๅฏไปฅๅธฎๅฉๆจ่ฟ่กๆทฑๅบฆ็ ็ฉถใ่ดขๆฅๅๆใ่กไธ็ญ้ใๆไป็ฎก็ๅๆ็ปดๅทฅๅ
ท็ญใๅ
ถ 4ไธชAgentๅนถ่ก ็็ ็ฉถๆนๅผใๅๅคงๅธ่ง่งๅฏนๆ ็ๅๆๆนๆณใ็ปๆๅๅๅ่งๆบๅถ ๅ ้่ๆฐๆฎ็็ฒพ็กฎๆง ้ฝๆฏๅ
ถ็ชๅบ็็น็นใ้่ฟ AI Berkshire๏ผๆจๅฏไปฅ่ทๅพๆดๅฅฝ็ๆ่ตๅณ็ญๆฏๆใโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://xn--r1a.website/GithubRe
๐ก calesthio/OpenMontage just hit the trending charts โ here's why it matters.
๐ https://github.com/calesthio/OpenMontage
๐ World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This innovative platform allows you to create stunning videos by simply describing what you want in plain language. The agent handles everything from research and scripting to asset generation, editing, and final composition.
Key Features:
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Technical Highlights:
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Audience:
OpenMontage is designed for anyone looking to create high-quality videos without extensive video production experience. It's perfect for
With OpenMontage, you can create stunning videos at a fraction of the cost and time. Try it out and discover a new world of video production possibilities - your next video is just a prompt away.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/calesthio/OpenMontage
๐ World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
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Introducing OpenMontage, the first open-source, agentic video production system. This innovative platform allows you to create stunning videos by simply describing what you want in plain language. The agent handles everything from research and scripting to asset generation, editing, and final composition.
Key Features:
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Start from a reference video or a blank prompt-
Automatic script generation and narration-
AI-powered image and video generation-
Free stock footage and music integration-
Real-time subtitle generation and burn-in-
Support for various AI coding assistantsTechnical Highlights:
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Python 3.10+ and Node.js 18+ support-
FFmpeg for post-production and encoding-
Remotion and HyperFrames for compositionAudience:
OpenMontage is designed for anyone looking to create high-quality videos without extensive video production experience. It's perfect for
content creators, marketers, educators, and developers who want to leverage AI-powered video production.With OpenMontage, you can create stunning videos at a fraction of the cost and time. Try it out and discover a new world of video production possibilities - your next video is just a prompt away.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ฅ aws/agent-toolkit-for-aws is trending โ and it deserves your attention.
๐ https://github.com/aws/agent-toolkit-for-aws
๐ Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
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The Agent Toolkit for AWS is a powerful tool that enables AI coding agents to build, deploy, and manage applications on AWS. It provides a set of plugins and skills that work with popular coding agents like Claude Code, Codex, Cursor, and Kiro. The toolkit offers a range of features, including service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, and SDK usage.
To get started, users can install plugins like
The AWS MCP Server is a key component of the toolkit, providing full AWS API coverage, sandboxed script execution, real-time documentation access, and enterprise controls. The toolkit is designed for developers, DevOps teams, and anyone looking to leverage AI coding agents to streamline their workflows on AWS.
With its robust features and user-friendly setup, the Agent Toolkit for AWS is a game-changer for anyone looking to unlock the full potential of AI-powered coding. One-liner takeaway: Supercharge your coding workflow with the Agent Toolkit for AWS and unlock the power of AI-driven development on the cloud.
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๐ง Channel: https://xn--r1a.website/GithubRe
๐ https://github.com/aws/agent-toolkit-for-aws
๐ Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
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The Agent Toolkit for AWS is a powerful tool that enables AI coding agents to build, deploy, and manage applications on AWS. It provides a set of plugins and skills that work with popular coding agents like Claude Code, Codex, Cursor, and Kiro. The toolkit offers a range of features, including service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, and SDK usage.
To get started, users can install plugins like
aws-core, aws-agents, and aws-data-analytics using their coding agent's marketplace or by adding the toolkit's repository as a team marketplace. The toolkit also includes a set of rules files that provide recommended project-level configuration for using AWS effectively. The AWS MCP Server is a key component of the toolkit, providing full AWS API coverage, sandboxed script execution, real-time documentation access, and enterprise controls. The toolkit is designed for developers, DevOps teams, and anyone looking to leverage AI coding agents to streamline their workflows on AWS.
With its robust features and user-friendly setup, the Agent Toolkit for AWS is a game-changer for anyone looking to unlock the full potential of AI-powered coding. One-liner takeaway: Supercharge your coding workflow with the Agent Toolkit for AWS and unlock the power of AI-driven development on the cloud.
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๐ง Channel: https://xn--r1a.website/GithubRe