Audio
🔊 Turn One Goal Into a Working App
📦 sandgardenhq/sgai
Sgai is a local tool that helps people build software by describing the result they want instead of managing every coding step. You set a goal, and a group of AI agents (like a builder, reviewer, and designer) plans the work, asks follow-up questions, writes code, and runs checks such as tests before marking it done. A visual dashboard shows the plan and progress, so the process is not hidden. It solves the problem of messy AI coding chats and unclear outcomes. It is useful because people stay in control, can verify work actually passes checks, and keep their code on their own machine.
🔗 https://github.com/sandgardenhq/sgai
📰 https://news.ycombinator.com/item?id=47153941
📢 @hackernewsgithubprojects
📦 sandgardenhq/sgai
Sgai is a local tool that helps people build software by describing the result they want instead of managing every coding step. You set a goal, and a group of AI agents (like a builder, reviewer, and designer) plans the work, asks follow-up questions, writes code, and runs checks such as tests before marking it done. A visual dashboard shows the plan and progress, so the process is not hidden. It solves the problem of messy AI coding chats and unclear outcomes. It is useful because people stay in control, can verify work actually passes checks, and keep their code on their own machine.
🔗 https://github.com/sandgardenhq/sgai
📰 https://news.ycombinator.com/item?id=47153941
📢 @hackernewsgithubprojects
Audio
🔊 SimpleTalk: A Friendlier Way to Build Interactive Ideas
📦 dkrasner/simpletalk
SimpleTalk is an experimental project that explores a friendlier way to build software, inspired by older systems like HyperCard and Smalltalk. Instead of focusing on polished apps first, it provides an authoring environment where people can create and organize interactive pages (called stacks) and save them as regular HTML snapshot files. This helps address a common problem in personal computing: many tools make creating things feel technical and fragmented. SimpleTalk is useful as a research prototype because it shows how documentation, examples, and the working environment can live together, making ideas easier to test, teach, and improve.
🔗 https://github.com/dkrasner/Simpletalk
📰 https://news.ycombinator.com/item?id=47160684
📢 @hackernewsgithubprojects
📦 dkrasner/simpletalk
SimpleTalk is an experimental project that explores a friendlier way to build software, inspired by older systems like HyperCard and Smalltalk. Instead of focusing on polished apps first, it provides an authoring environment where people can create and organize interactive pages (called stacks) and save them as regular HTML snapshot files. This helps address a common problem in personal computing: many tools make creating things feel technical and fragmented. SimpleTalk is useful as a research prototype because it shows how documentation, examples, and the working environment can live together, making ideas easier to test, teach, and improve.
🔗 https://github.com/dkrasner/Simpletalk
📰 https://news.ycombinator.com/item?id=47160684
📢 @hackernewsgithubprojects
Audio
🔊 Where CSS Rules Are Written
📦 w3c/csswg-drafts
This repository is the working home for the W3C CSS Working Group’s draft specifications, the documents that define how CSS features should behave in web browsers. Instead of scattered notes and private discussions, it gives browser makers, web developers, and standards editors one shared place to write proposals, review changes, report problems, and track decisions. That helps reduce inconsistencies between browsers and makes new CSS features easier to understand and test before they are widely released. It is useful because the rules behind everyday web styling are developed openly here, which improves compatibility and makes the web more reliable for everyone.
🔗 https://github.com/w3c/csswg-drafts
📰 https://news.ycombinator.com/item?id=47160864
📢 @hackernewsgithubprojects
📦 w3c/csswg-drafts
This repository is the working home for the W3C CSS Working Group’s draft specifications, the documents that define how CSS features should behave in web browsers. Instead of scattered notes and private discussions, it gives browser makers, web developers, and standards editors one shared place to write proposals, review changes, report problems, and track decisions. That helps reduce inconsistencies between browsers and makes new CSS features easier to understand and test before they are widely released. It is useful because the rules behind everyday web styling are developed openly here, which improves compatibility and makes the web more reliable for everyone.
🔗 https://github.com/w3c/csswg-drafts
📰 https://news.ycombinator.com/item?id=47160864
📢 @hackernewsgithubprojects
Audio
🔊 One Toolkit for Every Document Task
📦 adithya-s-k/omnidocs
OmniDocs is an open-source Python toolkit that helps people and teams pull useful information from documents like PDFs, scans, and images using one simple interface. Instead of stitching together separate tools for OCR, layout detection, table parsing, and structured data extraction, OmniDocs lets you swap models or cloud providers without rewriting your code. It supports local GPU setups and cloud APIs, so it can fit both experiments and production workflows. This is useful for building apps that read invoices, reports, forms, and research papers faster, with more consistent outputs and less engineering work spent on integration.
🔗 https://github.com/adithya-s-k/Omnidocs
📰 https://news.ycombinator.com/item?id=47154193
📢 @hackernewsgithubprojects
📦 adithya-s-k/omnidocs
OmniDocs is an open-source Python toolkit that helps people and teams pull useful information from documents like PDFs, scans, and images using one simple interface. Instead of stitching together separate tools for OCR, layout detection, table parsing, and structured data extraction, OmniDocs lets you swap models or cloud providers without rewriting your code. It supports local GPU setups and cloud APIs, so it can fit both experiments and production workflows. This is useful for building apps that read invoices, reports, forms, and research papers faster, with more consistent outputs and less engineering work spent on integration.
🔗 https://github.com/adithya-s-k/Omnidocs
📰 https://news.ycombinator.com/item?id=47154193
📢 @hackernewsgithubprojects
Audio
🔊 Learn AI by Building It
📦 deeptrackai/deeplearningcrashcourse
This repository is a free set of chapter-by-chapter Jupyter notebooks that accompanies the book Deep Learning Crash Course. It guides learners from simple neural networks to newer AI methods through hands-on projects, without requiring advanced math or a research background. The main problem it solves is the gap between theory-heavy explanations and practical learning: it shows how to build and test models step by step. With organized chapters covering images, text, forecasting, image generation, game-playing, and more, it gives beginners, students, and working professionals a clear path to practice real code, understand what each approach is for, and build confidence with modern AI tools.
🔗 https://github.com/DeepTrackAI/DeepLearningCrashCourse
📰 https://news.ycombinator.com/item?id=47161572
📢 @hackernewsgithubprojects
📦 deeptrackai/deeplearningcrashcourse
This repository is a free set of chapter-by-chapter Jupyter notebooks that accompanies the book Deep Learning Crash Course. It guides learners from simple neural networks to newer AI methods through hands-on projects, without requiring advanced math or a research background. The main problem it solves is the gap between theory-heavy explanations and practical learning: it shows how to build and test models step by step. With organized chapters covering images, text, forecasting, image generation, game-playing, and more, it gives beginners, students, and working professionals a clear path to practice real code, understand what each approach is for, and build confidence with modern AI tools.
🔗 https://github.com/DeepTrackAI/DeepLearningCrashCourse
📰 https://news.ycombinator.com/item?id=47161572
📢 @hackernewsgithubprojects
Audio
🔊 Apple Intelligence, Now in Python
📦 apple/python-apple-fm-sdk
This repository is Apple’s Python toolkit for using the on-device language model behind Apple Intelligence on a Mac. Instead of building everything in Swift, developers and data teams can script prompts, run many tests, stream responses, and check output quality from Python, which is often faster for experiments and analysis. It also supports guided responses, so apps can ask for answers in a specific format. In plain terms, it helps people prototype and evaluate AI features for Apple apps without sending data to the cloud. That makes it useful for local testing, privacy-sensitive workflows, and comparing model behavior before shipping an app.
🔗 https://github.com/apple/python-apple-fm-sdk
📰 https://news.ycombinator.com/item?id=47161249
📢 @hackernewsgithubprojects
📦 apple/python-apple-fm-sdk
This repository is Apple’s Python toolkit for using the on-device language model behind Apple Intelligence on a Mac. Instead of building everything in Swift, developers and data teams can script prompts, run many tests, stream responses, and check output quality from Python, which is often faster for experiments and analysis. It also supports guided responses, so apps can ask for answers in a specific format. In plain terms, it helps people prototype and evaluate AI features for Apple apps without sending data to the cloud. That makes it useful for local testing, privacy-sensitive workflows, and comparing model behavior before shipping an app.
🔗 https://github.com/apple/python-apple-fm-sdk
📰 https://news.ycombinator.com/item?id=47161249
📢 @hackernewsgithubprojects
Audio
🔊 Before You Build, Get a Reality Check
📦 mnemox-ai/idea-reality-mcp
Idea Reality MCP is a small add-on for AI coding assistants that checks whether a project idea is already crowded before you start building. You give it a plain-language idea, and it searches places like GitHub, Hacker News, npm, PyPI, and Product Hunt, then returns a simple 0-100 "reality signal," examples of similar projects, and suggestions for how to stand out. It solves a common problem: spending hours building something only to learn many versions already exist. This is useful for founders, hobbyists, and teams because it adds a quick reality check inside the coding workflow, helping them research earlier, avoid duplicate work, and choose better ideas or sharper niches.
🔗 https://github.com/mnemox-ai/idea-reality-mcp
📰 https://news.ycombinator.com/item?id=47140335
📢 @hackernewsgithubprojects
📦 mnemox-ai/idea-reality-mcp
Idea Reality MCP is a small add-on for AI coding assistants that checks whether a project idea is already crowded before you start building. You give it a plain-language idea, and it searches places like GitHub, Hacker News, npm, PyPI, and Product Hunt, then returns a simple 0-100 "reality signal," examples of similar projects, and suggestions for how to stand out. It solves a common problem: spending hours building something only to learn many versions already exist. This is useful for founders, hobbyists, and teams because it adds a quick reality check inside the coding workflow, helping them research earlier, avoid duplicate work, and choose better ideas or sharper niches.
🔗 https://github.com/mnemox-ai/idea-reality-mcp
📰 https://news.ycombinator.com/item?id=47140335
📢 @hackernewsgithubprojects
Audio
🔊 AI Agents That Keep Working After You Log Off
📦 rightnow-ai/openfang
OpenFang is an open-source app for running AI assistants as always-on workers, not just chatbots you talk to one prompt at a time. It bundles setup, scheduling, tools, safety checks, and a dashboard into one program, so people can launch agents that research topics, monitor websites, find sales leads, automate browser tasks, manage social posts, or clip videos. It solves the headache of stitching together many separate AI tools, scripts, and services just to automate repetitive work. OpenFang is useful because it gives one place to run and monitor these jobs, with built-in approvals and guardrails for sensitive actions while still allowing customization.
🔗 https://github.com/RightNow-AI/openfang
📰 https://news.ycombinator.com/item?id=47160246
📢 @hackernewsgithubprojects
📦 rightnow-ai/openfang
OpenFang is an open-source app for running AI assistants as always-on workers, not just chatbots you talk to one prompt at a time. It bundles setup, scheduling, tools, safety checks, and a dashboard into one program, so people can launch agents that research topics, monitor websites, find sales leads, automate browser tasks, manage social posts, or clip videos. It solves the headache of stitching together many separate AI tools, scripts, and services just to automate repetitive work. OpenFang is useful because it gives one place to run and monitor these jobs, with built-in approvals and guardrails for sensitive actions while still allowing customization.
🔗 https://github.com/RightNow-AI/openfang
📰 https://news.ycombinator.com/item?id=47160246
📢 @hackernewsgithubprojects
Audio
🔊 PgDog: A Traffic Cop for PostgreSQL Growth
📦 pgdogdev/pgdog
PgDog is an open-source tool that sits in front of PostgreSQL databases and helps them handle more traffic without forcing teams to rewrite their apps. It works like a smart traffic manager: it reuses database connections, spreads requests across servers, and can split data across multiple database machines when one server is no longer enough. This solves common scaling problems like slowdowns, too many simultaneous connections, and painful database growth. It is useful because apps can keep using standard PostgreSQL tools while PgDog handles the routing behind the scenes, improving speed, reliability, and room to grow with less operational effort.
🔗 https://github.com/pgdogdev/pgdog
📰 https://news.ycombinator.com/item?id=47123631
📢 @hackernewsgithubprojects
📦 pgdogdev/pgdog
PgDog is an open-source tool that sits in front of PostgreSQL databases and helps them handle more traffic without forcing teams to rewrite their apps. It works like a smart traffic manager: it reuses database connections, spreads requests across servers, and can split data across multiple database machines when one server is no longer enough. This solves common scaling problems like slowdowns, too many simultaneous connections, and painful database growth. It is useful because apps can keep using standard PostgreSQL tools while PgDog handles the routing behind the scenes, improving speed, reliability, and room to grow with less operational effort.
🔗 https://github.com/pgdogdev/pgdog
📰 https://news.ycombinator.com/item?id=47123631
📢 @hackernewsgithubprojects
Audio
🔊 Wireshark, But Much Easier in Your Terminal
📦 vignesh07/babyshark
Babyshark is a terminal-based tool for exploring network traffic captures (PCAP files) without needing to be a Wireshark expert. It turns raw traffic into a guided, easier-to-read interface with summaries, top hosts and ports, domain-based views, and a “What’s weird?” section that highlights suspicious or broken patterns. It can also watch live traffic when paired with tshark, the command-line part of Wireshark. This helps developers, IT staff, and curious users quickly answer practical questions like what is using the network, what seems slow or broken, and where to investigate next, all from a fast keyboard-friendly interface.
🔗 https://github.com/vignesh07/babyshark
📰 https://news.ycombinator.com/item?id=47128535
📢 @hackernewsgithubprojects
📦 vignesh07/babyshark
Babyshark is a terminal-based tool for exploring network traffic captures (PCAP files) without needing to be a Wireshark expert. It turns raw traffic into a guided, easier-to-read interface with summaries, top hosts and ports, domain-based views, and a “What’s weird?” section that highlights suspicious or broken patterns. It can also watch live traffic when paired with tshark, the command-line part of Wireshark. This helps developers, IT staff, and curious users quickly answer practical questions like what is using the network, what seems slow or broken, and where to investigate next, all from a fast keyboard-friendly interface.
🔗 https://github.com/vignesh07/babyshark
📰 https://news.ycombinator.com/item?id=47128535
📢 @hackernewsgithubprojects
Audio
🔊 Turn Windows Search Into Lightning Search
📦 pinchtodebug/everythingquicksearch
Everything Quick Search is a small Windows app that replaces the normal Start menu search with much faster file and folder search powered by the Everything search engine. It is designed for people who feel Windows search is slow, misses results, or takes too many clicks. After setup, you can search from the Start menu, move through results with simple keyboard shortcuts, switch categories, and open files quickly. This makes everyday tasks like finding downloads, documents, and folders much faster. It is especially useful for users who work with lots of files and want a smoother, faster way to find things.
🔗 https://github.com/PinchToDebug/EverythingQuickSearch
📰 https://news.ycombinator.com/item?id=47133425
📢 @hackernewsgithubprojects
📦 pinchtodebug/everythingquicksearch
Everything Quick Search is a small Windows app that replaces the normal Start menu search with much faster file and folder search powered by the Everything search engine. It is designed for people who feel Windows search is slow, misses results, or takes too many clicks. After setup, you can search from the Start menu, move through results with simple keyboard shortcuts, switch categories, and open files quickly. This makes everyday tasks like finding downloads, documents, and folders much faster. It is especially useful for users who work with lots of files and want a smoother, faster way to find things.
🔗 https://github.com/PinchToDebug/EverythingQuickSearch
📰 https://news.ycombinator.com/item?id=47133425
📢 @hackernewsgithubprojects
Audio
🔊 Send Secrets That Self-Destruct
📦 umputun/secrets
Safe Secrets is a small web app and API you can run yourself to share passwords, notes, or files through one-time links. Instead of sending sensitive info in chat or email where it can sit forever, it creates a link plus a PIN, lets you set an expiry time, and destroys the secret after it is opened or expires. This solves the common problem of passing credentials in a safer, simpler way without heavyweight security tools. It is useful for teams, admins, and everyday users, and it supports a browser interface, file uploads, and automation through an API.
🔗 https://github.com/umputun/secrets
📰 https://news.ycombinator.com/item?id=47146243
📢 @hackernewsgithubprojects
📦 umputun/secrets
Safe Secrets is a small web app and API you can run yourself to share passwords, notes, or files through one-time links. Instead of sending sensitive info in chat or email where it can sit forever, it creates a link plus a PIN, lets you set an expiry time, and destroys the secret after it is opened or expires. This solves the common problem of passing credentials in a safer, simpler way without heavyweight security tools. It is useful for teams, admins, and everyday users, and it supports a browser interface, file uploads, and automation through an API.
🔗 https://github.com/umputun/secrets
📰 https://news.ycombinator.com/item?id=47146243
📢 @hackernewsgithubprojects
Audio
🔊 Run Bash Safely Without a VM
📦 butter-dot-dev/bvisor
bVisor is an open-source tool that lets apps and AI agents run Bash commands on a Linux machine inside a fast local sandbox. Instead of starting a heavy virtual machine or container, it intercepts system calls and creates a controlled environment that can block risky actions and isolate file changes. This solves a common problem for coding tools and automation: they need to execute commands, but doing that directly on the host can be unsafe. bVisor is useful because it aims to be lightweight, quick to start, and easy to embed in an application through an SDK, while still reducing the risk of damaging the real system.
🔗 https://github.com/butter-dot-dev/bVisor
📰 https://news.ycombinator.com/item?id=47125966
📢 @hackernewsgithubprojects
📦 butter-dot-dev/bvisor
bVisor is an open-source tool that lets apps and AI agents run Bash commands on a Linux machine inside a fast local sandbox. Instead of starting a heavy virtual machine or container, it intercepts system calls and creates a controlled environment that can block risky actions and isolate file changes. This solves a common problem for coding tools and automation: they need to execute commands, but doing that directly on the host can be unsafe. bVisor is useful because it aims to be lightweight, quick to start, and easy to embed in an application through an SDK, while still reducing the risk of damaging the real system.
🔗 https://github.com/butter-dot-dev/bVisor
📰 https://news.ycombinator.com/item?id=47125966
📢 @hackernewsgithubprojects
Audio
🔊 Transformers, Rebuilt for NVIDIA Speed
📦 xaskasdf/ntransformer
nTransformer is an open-source project that rebuilds key parts of AI “transformer” models (the engine behind many chatbots and image tools) specifically for NVIDIA GPUs. Instead of relying only on general-purpose deep learning libraries, it uses low-level CUDA and custom kernels to make training and inference faster and more efficient. This helps developers and researchers squeeze more performance out of the same hardware, especially for large models where speed and memory use matter a lot. In short, it solves the problem of slow or inefficient transformer execution by providing optimized GPU code, making advanced AI workloads more practical and cost-effective.
🔗 https://github.com/xaskasdf/ntransformer
📰 https://news.ycombinator.com/item?id=47104667
📢 @hackernewsgithubprojects
📦 xaskasdf/ntransformer
nTransformer is an open-source project that rebuilds key parts of AI “transformer” models (the engine behind many chatbots and image tools) specifically for NVIDIA GPUs. Instead of relying only on general-purpose deep learning libraries, it uses low-level CUDA and custom kernels to make training and inference faster and more efficient. This helps developers and researchers squeeze more performance out of the same hardware, especially for large models where speed and memory use matter a lot. In short, it solves the problem of slow or inefficient transformer execution by providing optimized GPU code, making advanced AI workloads more practical and cost-effective.
🔗 https://github.com/xaskasdf/ntransformer
📰 https://news.ycombinator.com/item?id=47104667
📢 @hackernewsgithubprojects
Audio
🔊 A Cleaner Way to Read Hacker News on Mac
📦 ironsidexxvi/hacker-news
This repository is a native macOS app for browsing Hacker News in a more comfortable, polished way than the website alone. It pulls in top stories, lets you open articles, and makes it easier to read comment threads and discussions from your desktop. The project solves a simple problem: Hacker News is useful, but the default reading experience can feel basic and cluttered, especially when you are jumping between links and comments. For people who follow tech news and community conversations, this app is useful because it gives a smoother, app-like reading flow, quicker navigation, and a dedicated place to keep up with stories.
🔗 https://github.com/IronsideXXVI/Hacker-News
📰 https://news.ycombinator.com/item?id=47088166
📢 @hackernewsgithubprojects
📦 ironsidexxvi/hacker-news
This repository is a native macOS app for browsing Hacker News in a more comfortable, polished way than the website alone. It pulls in top stories, lets you open articles, and makes it easier to read comment threads and discussions from your desktop. The project solves a simple problem: Hacker News is useful, but the default reading experience can feel basic and cluttered, especially when you are jumping between links and comments. For people who follow tech news and community conversations, this app is useful because it gives a smoother, app-like reading flow, quicker navigation, and a dedicated place to keep up with stories.
🔗 https://github.com/IronsideXXVI/Hacker-News
📰 https://news.ycombinator.com/item?id=47088166
📢 @hackernewsgithubprojects
Audio
🔊 Git Diffs You Can Actually Read
📦 flamestro/deff
Deff is a terminal app that makes code changes easier to review before you commit or merge them. Instead of a crowded wall of text, it shows old and new versions side by side, with clear color cues for added and removed lines, file-by-file navigation, and built-in search. It can compare your branch against its upstream or a custom base/head range, and it can also include uncommitted and untracked files so nothing is missed. This solves a common pain: spotting mistakes in large or messy diffs. It is useful because it helps developers catch issues earlier, review faster, and commit with more confidence.
🔗 https://github.com/flamestro/deff
📰 https://news.ycombinator.com/item?id=47169518
📢 @hackernewsgithubprojects
📦 flamestro/deff
Deff is a terminal app that makes code changes easier to review before you commit or merge them. Instead of a crowded wall of text, it shows old and new versions side by side, with clear color cues for added and removed lines, file-by-file navigation, and built-in search. It can compare your branch against its upstream or a custom base/head range, and it can also include uncommitted and untracked files so nothing is missed. This solves a common pain: spotting mistakes in large or messy diffs. It is useful because it helps developers catch issues earlier, review faster, and commit with more confidence.
🔗 https://github.com/flamestro/deff
📰 https://news.ycombinator.com/item?id=47169518
📢 @hackernewsgithubprojects
Audio
🔊 One Prompt, Many AI Workers
📦 bassimeledath/dispatch
Dispatch is a tool that lets one main AI session hand off multiple jobs to background AI workers, so you can get more done without the conversation getting overloaded. Instead of asking one assistant to handle everything in sequence, you give Dispatch a goal and it breaks the work into checklists, runs tasks in parallel, and reports progress back. If a worker gets stuck, it can ask you a quick question and keep going. This solves a common problem: long AI chats lose focus as context fills up. It is useful because it keeps your main session clear, saves time, and helps teams run bigger coding tasks with less manual coordination.
🔗 https://github.com/bassimeledath/dispatch
📰 https://news.ycombinator.com/item?id=47169504
📢 @hackernewsgithubprojects
📦 bassimeledath/dispatch
Dispatch is a tool that lets one main AI session hand off multiple jobs to background AI workers, so you can get more done without the conversation getting overloaded. Instead of asking one assistant to handle everything in sequence, you give Dispatch a goal and it breaks the work into checklists, runs tasks in parallel, and reports progress back. If a worker gets stuck, it can ask you a quick question and keep going. This solves a common problem: long AI chats lose focus as context fills up. It is useful because it keeps your main session clear, saves time, and helps teams run bigger coding tasks with less manual coordination.
🔗 https://github.com/bassimeledath/dispatch
📰 https://news.ycombinator.com/item?id=47169504
📢 @hackernewsgithubprojects
Audio
🔊 Run Bash Safely Without a Real Server
📦 vercel-labs/just-bash
just-bash is a JavaScript/TypeScript tool that recreates a Bash-like terminal in memory, so commands run in a simulated environment instead of your real machine. It is built for apps and AI tools that need shell power without the risk of touching system files or running unsafe binaries. This solves a common problem: developers want to automate command-line tasks, but exposing a real shell can be dangerous and hard to control. With just-bash, you can execute many familiar Unix-style commands, manage virtual files, and optionally allow limited network requests. It is useful for secure testing, sandboxed automation, and building safer developer or AI workflows.
🔗 https://github.com/vercel-labs/just-bash
📰 https://news.ycombinator.com/item?id=47165648
📢 @hackernewsgithubprojects
📦 vercel-labs/just-bash
just-bash is a JavaScript/TypeScript tool that recreates a Bash-like terminal in memory, so commands run in a simulated environment instead of your real machine. It is built for apps and AI tools that need shell power without the risk of touching system files or running unsafe binaries. This solves a common problem: developers want to automate command-line tasks, but exposing a real shell can be dangerous and hard to control. With just-bash, you can execute many familiar Unix-style commands, manage virtual files, and optionally allow limited network requests. It is useful for secure testing, sandboxed automation, and building safer developer or AI workflows.
🔗 https://github.com/vercel-labs/just-bash
📰 https://news.ycombinator.com/item?id=47165648
📢 @hackernewsgithubprojects
Audio
🔊 Your AI Dev Team in a Box
📦 desplega-ai/agent-swarm
Agent Swarm is an open-source project that lets you run a team of AI coding assistants instead of relying on a single bot. One lead agent receives work from places like Slack, GitHub, email, or a command line, then splits the job into smaller tasks for worker agents running in separate Docker containers. This helps solve a common problem: big software tasks are hard for one assistant to manage safely and consistently. Agent Swarm adds coordination, progress tracking, and a dashboard so you can see what’s happening in real time. It is useful for teams that want faster automation while keeping work organized and isolated.
🔗 https://github.com/desplega-ai/agent-swarm
📰 https://news.ycombinator.com/item?id=47165046
📢 @hackernewsgithubprojects
📦 desplega-ai/agent-swarm
Agent Swarm is an open-source project that lets you run a team of AI coding assistants instead of relying on a single bot. One lead agent receives work from places like Slack, GitHub, email, or a command line, then splits the job into smaller tasks for worker agents running in separate Docker containers. This helps solve a common problem: big software tasks are hard for one assistant to manage safely and consistently. Agent Swarm adds coordination, progress tracking, and a dashboard so you can see what’s happening in real time. It is useful for teams that want faster automation while keeping work organized and isolated.
🔗 https://github.com/desplega-ai/agent-swarm
📰 https://news.ycombinator.com/item?id=47165046
📢 @hackernewsgithubprojects
Audio
🔊 Tree-sitter, But Pure Go and Much Easier to Ship
📦 odvcencio/gotreesitter
`gotreesitter` is an open-source Go library that reads source code and turns it into a structured tree so tools can understand code better. In simple terms, it helps power features like syntax highlighting, code navigation, and smart editing. Its key idea is that it is written fully in Go, so developers do not need C dependencies or extra build tools that often break installs, cross-platform builds, and CI pipelines. It also supports incremental updates, meaning it can reprocess only the changed part of a file instead of everything, which makes editor-like workflows much faster. This makes it practical for building reliable code tools that run across many environments, including WebAssembly.
🔗 https://github.com/odvcencio/gotreesitter
📰 https://news.ycombinator.com/item?id=47155597
📢 @hackernewsgithubprojects
📦 odvcencio/gotreesitter
`gotreesitter` is an open-source Go library that reads source code and turns it into a structured tree so tools can understand code better. In simple terms, it helps power features like syntax highlighting, code navigation, and smart editing. Its key idea is that it is written fully in Go, so developers do not need C dependencies or extra build tools that often break installs, cross-platform builds, and CI pipelines. It also supports incremental updates, meaning it can reprocess only the changed part of a file instead of everything, which makes editor-like workflows much faster. This makes it practical for building reliable code tools that run across many environments, including WebAssembly.
🔗 https://github.com/odvcencio/gotreesitter
📰 https://news.ycombinator.com/item?id=47155597
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