๐ Meet chrislgarry/Apollo-11: a gem from today's GitHub trending list.
๐ https://github.com/chrislgarry/Apollo-11
๐ Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
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The Apollo-11 GitHub repository is a collection of the original Apollo 11 source code for the Command Module (Comanche055) and Lunar Module (Luminary099). The code has been digitized from original scans and is available in multiple languages. The repository's goal is to provide an accurate representation of the original source code, and pull requests are welcome to correct any discrepancies.
To
The Apollo-11 repository is a valuable resource for space enthusiasts, software developers, and historians interested in the Apollo 11 mission.
You can explore the repository and its contents, including the Comanche055 and Luminary099 source code, as well as the CONTRACT_AND_APPROVALS.agc file.
Takeaway: The Apollo-11 repository is a piece of space history that's now open-source and waiting to be explored.
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/chrislgarry/Apollo-11
๐ Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
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The Apollo-11 GitHub repository is a collection of the original Apollo 11 source code for the Command Module (Comanche055) and Lunar Module (Luminary099). The code has been digitized from original scans and is available in multiple languages. The repository's goal is to provide an accurate representation of the original source code, and pull requests are welcome to correct any discrepancies.
To
compile the original source code, you can use Virtual AGC. The repository also includes information on attribution, contract, and approvals for the AGC program.The Apollo-11 repository is a valuable resource for space enthusiasts, software developers, and historians interested in the Apollo 11 mission.
You can explore the repository and its contents, including the Comanche055 and Luminary099 source code, as well as the CONTRACT_AND_APPROVALS.agc file.
Takeaway: The Apollo-11 repository is a piece of space history that's now open-source and waiting to be explored.
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๐ง Channel: https://t.iss.one/GithubRe
๐ฏ mattpocock/skills landed on trending. Worth a proper look.
๐ https://github.com/mattpocock/skills
๐ Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance the productivity and effectiveness of real-world engineering tasks. These skills are small, easy to adapt, and composable, allowing developers to work seamlessly with any model. The repository provides a range of skills, including
To get started, users can run the
The skills are categorized into user-invoked and model-invoked skills, with the former being reachable only when invoked by the user, and the latter being invokable by the user or the agent. Some of the key skills include
Overall, the mattpocock/skills repository provides a valuable resource for developers looking to improve their productivity and effectiveness in real-world engineering tasks. With its flexible and adaptable skills, it's an essential tool for any developer looking to take their skills to the next level - and with these skills, you'll be coding like a pro in no time!
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/mattpocock/skills
๐ Skills for Real Engineers. Straight from my .agents directory.
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The mattpocock/skills GitHub repository offers a collection of skills designed to enhance the productivity and effectiveness of real-world engineering tasks. These skills are small, easy to adapt, and composable, allowing developers to work seamlessly with any model. The repository provides a range of skills, including
/grill-me, /grill-with-docs, and /tdd, which help developers to align with the agent, build a shared language, and implement robust testing practices.To get started, users can run the
skills.sh installer and follow the quickstart guide. The repository also offers a native Claude Code plugin for a plug-and-play installation. The skills are designed to be used by real engineers to tackle common failure modes in software development, such as misalignment, verbosity, and poor code quality.The skills are categorized into user-invoked and model-invoked skills, with the former being reachable only when invoked by the user, and the latter being invokable by the user or the agent. Some of the key skills include
ask-matt, grill-with-docs, and improve-codebase-architecture, which help developers to navigate the skills, build a domain model, and improve the codebase architecture.Overall, the mattpocock/skills repository provides a valuable resource for developers looking to improve their productivity and effectiveness in real-world engineering tasks. With its flexible and adaptable skills, it's an essential tool for any developer looking to take their skills to the next level - and with these skills, you'll be coding like a pro in no time!
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๐ง Channel: https://t.iss.one/GithubRe
๐ Lordog/dive-into-llms caught my eye on GitHub Trending today.
๐ https://github.com/Lordog/dive-into-llms
๐ ใๅจๆๅญฆๅคงๆจกๅDive into LLMsใ็ณปๅ็ผ็จๅฎ่ทตๆ็จ
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Dive into LLMs is a free, open-source tutorial series on large language models (LLMs). The project aims to provide a hands-on programming guide for LLMs, covering topics such as fine-tuning, prompting, and knowledge editing. The series includes practical exercises and real-world examples to help learners quickly get started with LLMs.
The tutorial series consists of multiple chapters, each focusing on a specific aspect of LLMs, such as:
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The project also features a new series of courses, "ๅคงๆจกๅๅผๅๅ จๆต็จ" (Large Model Development Full Process), developed in collaboration with Huawei's Ascend community. This series provides a comprehensive guide to developing and applying LLMs, including PPT, experiment manuals, and videos.
The tutorials are designed for students, researchers, and developers who want to learn about LLMs and their applications. The project is open to contributions and welcomes feedback and discussions.
Key takeaway: With Dive into LLMs, you can quickly dive into the world of large language models and start building your own LLM-powered projects!
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/Lordog/dive-into-llms
๐ ใๅจๆๅญฆๅคงๆจกๅDive into LLMsใ็ณปๅ็ผ็จๅฎ่ทตๆ็จ
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Dive into LLMs is a free, open-source tutorial series on large language models (LLMs). The project aims to provide a hands-on programming guide for LLMs, covering topics such as fine-tuning, prompting, and knowledge editing. The series includes practical exercises and real-world examples to help learners quickly get started with LLMs.
The tutorial series consists of multiple chapters, each focusing on a specific aspect of LLMs, such as:
-
ๅพฎ่ฐไธ้จ็ฝฒ (Fine-tuning and Deployment)-
ๆ็คบๅญฆไน ไธๆ็ปด้พ (Prompt Learning and Thought Chain)-
็ฅ่ฏ็ผ่พ (Knowledge Editing)-
ๆฐๅญฆๆจ็ (Mathematical Reasoning)The project also features a new series of courses, "ๅคงๆจกๅๅผๅๅ จๆต็จ" (Large Model Development Full Process), developed in collaboration with Huawei's Ascend community. This series provides a comprehensive guide to developing and applying LLMs, including PPT, experiment manuals, and videos.
The tutorials are designed for students, researchers, and developers who want to learn about LLMs and their applications. The project is open to contributions and welcomes feedback and discussions.
Key takeaway: With Dive into LLMs, you can quickly dive into the world of large language models and start building your own LLM-powered projects!
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๐ง Channel: https://t.iss.one/GithubRe
Github Top Repositories
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๐ Spotted on GitHub Trending: diegosouzapw/OmniRoute โ let's break it down.
๐ https://github.com/diegosouzapw/OmniRoute
๐ Never stop coding. Free MIT AI gateway: one endpoint, 290+ providers (90+ free), 500+ models โ Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors
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OmniRoute is a free AI gateway that connects to 250 AI providers, with 90+ free tiers, allowing you to access multiple AI tools through one endpoint. It offers ~1.6B free tokens/month, with the possibility of up to ~2.1B in the first month with signup credits. Key features include
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/diegosouzapw/OmniRoute
๐ Never stop coding. Free MIT AI gateway: one endpoint, 290+ providers (90+ free), 500+ models โ Kimi, Claude, GPT, OpenAI, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 500+ contributors
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OmniRoute is a free AI gateway that connects to 250 AI providers, with 90+ free tiers, allowing you to access multiple AI tools through one endpoint. It offers ~1.6B free tokens/month, with the possibility of up to ~2.1B in the first month with signup credits. Key features include
RTK + Caveman compression, which saves 15-95% tokens, and 18 routing strategies. OmniRoute is available in 42+ languages and can be used with various CLIs and coding agents. Its purpose is to simplify the use of multiple AI providers, making it easier to manage and optimize AI workflows. With OmniRoute, you can focus on coding without worrying about AI provider limitations. Start using OmniRoute today and streamline your AI development process.โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง Channel: https://t.iss.one/GithubRe
๐ Meet OtterMind/Chat2DB: a gem from today's GitHub trending list.
๐ https://github.com/OtterMind/Chat2DB
๐ ๐ฅ๐ฅ๐ฅ AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
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Chat2DB is an AI-powered database client and SQL workspace designed for developers, DBAs, analysts, and data teams. It supports 30+ databases, including MySQL, PostgreSQL, and MongoDB, and offers features like
To use Chat2DB, you can download the desktop app or run it via
From a technical perspective, Chat2DB uses
Chat2DB is designed for a wide range of users, from individual developers to large data teams. Whether you're looking for a powerful database client or a collaborative SQL workspace, Chat2DB has the features and flexibility you need.
In short, Chat2DB is the ultimate database client and SQL workspace for anyone looking to streamline their workflow and take their data analysis to the next level: Chat2DB - where data meets AI.
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/OtterMind/Chat2DB
๐ ๐ฅ๐ฅ๐ฅ AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
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Chat2DB is an AI-powered database client and SQL workspace designed for developers, DBAs, analysts, and data teams. It supports 30+ databases, including MySQL, PostgreSQL, and MongoDB, and offers features like
SQL editing, completion, and execution. The platform also includes an AI assistant that can generate, explain, and optimize SQL queries in natural language. To use Chat2DB, you can download the desktop app or run it via
Docker. The platform provides a quick start guide and supports multiple languages, including English, Chinese, Japanese, Spanish, and Korean. From a technical perspective, Chat2DB uses
AES-256-GCM encryption to secure stored datasource passwords and AI model API keys. The platform also offers a CLI with MCP support and supports custom JDBC drivers.Chat2DB is designed for a wide range of users, from individual developers to large data teams. Whether you're looking for a powerful database client or a collaborative SQL workspace, Chat2DB has the features and flexibility you need.
In short, Chat2DB is the ultimate database client and SQL workspace for anyone looking to streamline their workflow and take their data analysis to the next level: Chat2DB - where data meets AI.
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๐ง Channel: https://t.iss.one/GithubRe
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Github Top Repositories
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๐ฅ block/buzz is trending โ and it deserves your attention.
๐ https://github.com/block/buzz
๐ A hive mind communication platform
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Buzz is a self-hostable workspace where humans and AI agents collaborate in the same rooms. It's built on a Nostr relay, where every message, reaction, and event is a signed event in one log. This allows for a unified experience, with agents able to perform tasks like opening repos, sending patches, and reviewing code, all while maintaining a transparent audit trail.
Key features of Buzz include:
* Agents that can search six months of history and post relevant threads
* The ability to triage bugs without giving agents full access to the kingdom
* Feature branches that can be turned into rooms for collaboration
* A search function that spans conversations, patches, workflows, and approvals
* Agents that can run workspaces, not just participate in them
From a technical standpoint, Buzz is built using a variety of technologies, including
The target audience for Buzz appears to be developers and teams looking to collaborate on projects, with a focus on those interested in AI-powered tools and workflows. Overall, Buzz aims to provide a seamless and transparent collaboration experience, where humans and agents can work together in a shared space.
One-liner takeaway: Buzz is redefining collaboration by bringing humans and AI agents together in a single, transparent workspace.
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๐ง Channel: https://t.iss.one/GithubRe
๐ https://github.com/block/buzz
๐ A hive mind communication platform
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Buzz is a self-hostable workspace where humans and AI agents collaborate in the same rooms. It's built on a Nostr relay, where every message, reaction, and event is a signed event in one log. This allows for a unified experience, with agents able to perform tasks like opening repos, sending patches, and reviewing code, all while maintaining a transparent audit trail.
Key features of Buzz include:
* Agents that can search six months of history and post relevant threads
* The ability to triage bugs without giving agents full access to the kingdom
* Feature branches that can be turned into rooms for collaboration
* A search function that spans conversations, patches, workflows, and approvals
* Agents that can run workspaces, not just participate in them
From a technical standpoint, Buzz is built using a variety of technologies, including
Rust, JavaScript, and Postgres. The architecture is designed to be modular, with a focus on scalability and flexibility.The target audience for Buzz appears to be developers and teams looking to collaborate on projects, with a focus on those interested in AI-powered tools and workflows. Overall, Buzz aims to provide a seamless and transparent collaboration experience, where humans and agents can work together in a shared space.
One-liner takeaway: Buzz is redefining collaboration by bringing humans and AI agents together in a single, transparent workspace.
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๐ง Channel: https://t.iss.one/GithubRe