The best Hacker News stories from Show from the past day
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Show HN: Agency – Unifying human, AI, and other computing systems, in Python
Hello hackernews! I'm excited to share a new open source python library I just released for creating AI agent-integrated systems.<p>The name is `agency`. It differs from other agent libraries, most importantly in that it's intended to address a distinct part of the overall problem, that of agent integration. It is not an agent toolchain like LangChain and others.<p>`agency` is a framework intended for safely integrating agents with computing systems and humans in a way that all parties can easily understand and communicate with each other.<p>I've spent a lot of time on the readme which contains a detailed and working walkthrough of building an agent integrated system that includes multiple types of agents, operating system integration, access control, and a flask+react based web application where users can appear as individual "agents" as well.<p>Also worth noting is that I _just_ pushed an update to integrate with the new functions support on the OpenAI API! (<a href="https://openai.com/blog/function-calling-and-other-api-updates" rel="nofollow noreferrer">https://openai.com/blog/function-calling-and-other-api-updat...</a>)<p>I'm eager to hear what people think! I developed this in order to build a foundation for some of my own ambitious ideas. If you find this useful for your own projects I'd love to know!<p>Thanks for checking it out! I hope this helps you build amazing things!
Show HN: pgMagic – a Mac Postgres client that lets you query in natural language
Hi HN. This is a project I've been building for the last month.<p>It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine.<p>I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions.<p>This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this.<p>In the near future I want to flesh out the features to include:<p>* toggle immediate execution<p>* better export/editing<p>* local model inference<p>* windows & linux support<p>* themes<p>Thanks for trying it out and let me know what you think!
Show HN: pgMagic – a Mac Postgres client that lets you query in natural language
Hi HN. This is a project I've been building for the last month.<p>It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine.<p>I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions.<p>This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this.<p>In the near future I want to flesh out the features to include:<p>* toggle immediate execution<p>* better export/editing<p>* local model inference<p>* windows & linux support<p>* themes<p>Thanks for trying it out and let me know what you think!
Show HN: pgMagic – a Mac Postgres client that lets you query in natural language
Hi HN. This is a project I've been building for the last month.<p>It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine.<p>I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions.<p>This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this.<p>In the near future I want to flesh out the features to include:<p>* toggle immediate execution<p>* better export/editing<p>* local model inference<p>* windows & linux support<p>* themes<p>Thanks for trying it out and let me know what you think!
Show HN: Jonline, AGPLv3 Social Network Built with Rust, Flutter, React, gRPC
I have two instances that I'd love to see HN hug to death at <a href="https://jonline.io" rel="nofollow noreferrer">https://jonline.io</a> (to which I manually deploy) and <a href="https://getj.online" rel="nofollow noreferrer">https://getj.online</a> (which is deployed to for any commit to main on GitHub). They're both running (side by side, in their own namespaces) on a bare minimum 2GB/50GB DigitalOcean droplet using DOKS (DigitalOcean Kubernetes). The configurations are in: <a href="https://github.com/JonLatane/jonline/tree/main/deploys/k8s">https://github.com/JonLatane/jonline/tree/main/deploys/k8s</a><p>So far this is a solo endeavor, but with my recent CI integrations and consolidations of things within the codebase, it's pretty much ready for anyone who wants to contribute to do so. I've labeled some "good first issues" if anyone is interested in contributing: <a href="https://github.com/JonLatane/jonline/issues">https://github.com/JonLatane/jonline/issues</a><p>A few more tech details are available within the app itself, at <a href="https://jonline.io/about_jonline" rel="nofollow noreferrer">https://jonline.io/about_jonline</a> or <a href="https://getj.online/about_jonline" rel="nofollow noreferrer">https://getj.online/about_jonline</a>.<p>Edit: Hug of death is in full effect! I think it's the CPU required for all the TLS stuff being done. I can't even `kubectl logs` to get more information.<p>I should really be limiting the resources of my containers, etc. as I'm obviously running way beyond what my rinky-dink single server is really meant for. If you're interested, let me know!<p>CPU/Load/Memory graphs in case y'all are curious (yes, I know I'm already using most of that poor server's memory!): <a href="https://imgur.com/7xGpvRI" rel="nofollow noreferrer">https://imgur.com/7xGpvRI</a>
Show HN: Jonline, AGPLv3 Social Network Built with Rust, Flutter, React, gRPC
I have two instances that I'd love to see HN hug to death at <a href="https://jonline.io" rel="nofollow noreferrer">https://jonline.io</a> (to which I manually deploy) and <a href="https://getj.online" rel="nofollow noreferrer">https://getj.online</a> (which is deployed to for any commit to main on GitHub). They're both running (side by side, in their own namespaces) on a bare minimum 2GB/50GB DigitalOcean droplet using DOKS (DigitalOcean Kubernetes). The configurations are in: <a href="https://github.com/JonLatane/jonline/tree/main/deploys/k8s">https://github.com/JonLatane/jonline/tree/main/deploys/k8s</a><p>So far this is a solo endeavor, but with my recent CI integrations and consolidations of things within the codebase, it's pretty much ready for anyone who wants to contribute to do so. I've labeled some "good first issues" if anyone is interested in contributing: <a href="https://github.com/JonLatane/jonline/issues">https://github.com/JonLatane/jonline/issues</a><p>A few more tech details are available within the app itself, at <a href="https://jonline.io/about_jonline" rel="nofollow noreferrer">https://jonline.io/about_jonline</a> or <a href="https://getj.online/about_jonline" rel="nofollow noreferrer">https://getj.online/about_jonline</a>.<p>Edit: Hug of death is in full effect! I think it's the CPU required for all the TLS stuff being done. I can't even `kubectl logs` to get more information.<p>I should really be limiting the resources of my containers, etc. as I'm obviously running way beyond what my rinky-dink single server is really meant for. If you're interested, let me know!<p>CPU/Load/Memory graphs in case y'all are curious (yes, I know I'm already using most of that poor server's memory!): <a href="https://imgur.com/7xGpvRI" rel="nofollow noreferrer">https://imgur.com/7xGpvRI</a>
Show HN: Scribbler – Podcast Summaries Using GPT
Hey, we're Phil and Ian, the founders of Scribbler.<p>We're huge podcast fans, but found we never had enough time to soak it all in. So, we built Scribbler - a tool that leverages GPT to condense podcast episodes into bite-sized summaries for when life's too busy.<p>Now, we can catch the best bits from any episode, discover new shows, and best of all, stop wasting valuable time figuring out what's worth listening to and what's not. We hope you'll find it useful!
Show HN: Scribbler – Podcast Summaries Using GPT
Hey, we're Phil and Ian, the founders of Scribbler.<p>We're huge podcast fans, but found we never had enough time to soak it all in. So, we built Scribbler - a tool that leverages GPT to condense podcast episodes into bite-sized summaries for when life's too busy.<p>Now, we can catch the best bits from any episode, discover new shows, and best of all, stop wasting valuable time figuring out what's worth listening to and what's not. We hope you'll find it useful!
Show HN: Scribbler – Podcast Summaries Using GPT
Hey, we're Phil and Ian, the founders of Scribbler.<p>We're huge podcast fans, but found we never had enough time to soak it all in. So, we built Scribbler - a tool that leverages GPT to condense podcast episodes into bite-sized summaries for when life's too busy.<p>Now, we can catch the best bits from any episode, discover new shows, and best of all, stop wasting valuable time figuring out what's worth listening to and what's not. We hope you'll find it useful!
Show HN: I’m building open-source headless CMS for technical content
In the last few years I've been doing a lot of technical writing, both for my own programming blog and others, and I've noticed there is a lack of good tools for this kind of writing.<p>Whether that was a programming blog post or documentation, I always had to move back an forth between different editors, and sometimes even other apps for content management and the actual content publication. A lot of copy-pasting, and wasted time.<p>Based on this experience I decided to try and build a tool that could provide a good experience for this kind of content from writing to publishing. This (I call it Vrite) ended up being essentially a headless CMS, but optimized for technical content and a pretty unique one overall, I'd say.<p>I tried to combine what can be seen as 3 separate products into one:
- WYSIWYG editor (with the addition of code-specific tooling like code editor or formatter)
- Kanban dashboard (inspired by my experience of tools like Trello used in larger technical content teams to manage content production process)
- The actual headless CMS (content delivery via API, integrations, etc.)<p>Most recently I decided to open-source it and see if there's any interest in such a tool. Right now the primary focus was my personal use-case (kind-of "promotional" technical writing seen in programming and start-up blogs), but I think, with more customization, something like this could extend to the documentation space and make writing and managing docs a lot easier.<p>Let me know what do you think about this.
Show HN: I’m building open-source headless CMS for technical content
In the last few years I've been doing a lot of technical writing, both for my own programming blog and others, and I've noticed there is a lack of good tools for this kind of writing.<p>Whether that was a programming blog post or documentation, I always had to move back an forth between different editors, and sometimes even other apps for content management and the actual content publication. A lot of copy-pasting, and wasted time.<p>Based on this experience I decided to try and build a tool that could provide a good experience for this kind of content from writing to publishing. This (I call it Vrite) ended up being essentially a headless CMS, but optimized for technical content and a pretty unique one overall, I'd say.<p>I tried to combine what can be seen as 3 separate products into one:
- WYSIWYG editor (with the addition of code-specific tooling like code editor or formatter)
- Kanban dashboard (inspired by my experience of tools like Trello used in larger technical content teams to manage content production process)
- The actual headless CMS (content delivery via API, integrations, etc.)<p>Most recently I decided to open-source it and see if there's any interest in such a tool. Right now the primary focus was my personal use-case (kind-of "promotional" technical writing seen in programming and start-up blogs), but I think, with more customization, something like this could extend to the documentation space and make writing and managing docs a lot easier.<p>Let me know what do you think about this.
Show HN: Apricot – because RSS won't come back unless we move it forward
I’ve been using RSS readers for decades, but they’ve started feeling more and more like a chore. Something about the inbox/to-do list design, counts of unread items, managing teams and complex filtering rules... I realized they add to my stress level instead of reducing it.<p>I’ve also come to rely on social media for discovery – hearing about new ideas, tools, papers, people, etc., but I’m so tired of the ads, spam, addictiveness, and toxicity.<p>Apricot is my attempt to distill the best of both worlds. It’s a web app where users subscribe to feeds like an RSS reader then see new items as they come in, in a single, combined, social media-style feed.<p>Apricot goes beyond traditional RSS readers in a couple other ways:<p><pre><code> * Users can follow TV shows (via TVmaze), Spotify podcasts, Substack newsletters, YouTube channels, and Subreddits (if/when they come back online) in addition to traditional RSS feeds. I’m open to adding other platforms if there’s demand and the content is programmatically accessible.
* Cross-platform feed search. I know search isn’t hot at the moment but it’s pretty useful in this context. Search for “Star Trek” and find not just the TV shows, but the podcasts and Subreddits too.
* Items can be sorted chronologically or with an ML-powered recommender system.
* Users can filter their feed by platform, which is helpful for specific use cases like finding a good podcast episode for a car ride or a good TV episode to watch after dinner.
* On-demand, GPT-powered content summaries help users see what an article is really about before clicking. (gotta sprinkle some gen AI on there!)
</code></pre>
Apricot is free while it’s in beta. I’m still thinking through the pricing model, but it will likely be some form of freemium starting in September. I want to avoid ads if at all possible.<p>If you’ve got a few minutes (and come on, with Reddit offline, I know you do), check it out and let me know what you think!<p>App: <a href="https://app.theapricot.io" rel="nofollow noreferrer">https://app.theapricot.io</a><p>Homepage: <a href="https://theapricot.io" rel="nofollow noreferrer">https://theapricot.io</a><p>Blog: <a href="https://blog.theapricot.io" rel="nofollow noreferrer">https://blog.theapricot.io</a>
Show HN: Apricot – because RSS won't come back unless we move it forward
I’ve been using RSS readers for decades, but they’ve started feeling more and more like a chore. Something about the inbox/to-do list design, counts of unread items, managing teams and complex filtering rules... I realized they add to my stress level instead of reducing it.<p>I’ve also come to rely on social media for discovery – hearing about new ideas, tools, papers, people, etc., but I’m so tired of the ads, spam, addictiveness, and toxicity.<p>Apricot is my attempt to distill the best of both worlds. It’s a web app where users subscribe to feeds like an RSS reader then see new items as they come in, in a single, combined, social media-style feed.<p>Apricot goes beyond traditional RSS readers in a couple other ways:<p><pre><code> * Users can follow TV shows (via TVmaze), Spotify podcasts, Substack newsletters, YouTube channels, and Subreddits (if/when they come back online) in addition to traditional RSS feeds. I’m open to adding other platforms if there’s demand and the content is programmatically accessible.
* Cross-platform feed search. I know search isn’t hot at the moment but it’s pretty useful in this context. Search for “Star Trek” and find not just the TV shows, but the podcasts and Subreddits too.
* Items can be sorted chronologically or with an ML-powered recommender system.
* Users can filter their feed by platform, which is helpful for specific use cases like finding a good podcast episode for a car ride or a good TV episode to watch after dinner.
* On-demand, GPT-powered content summaries help users see what an article is really about before clicking. (gotta sprinkle some gen AI on there!)
</code></pre>
Apricot is free while it’s in beta. I’m still thinking through the pricing model, but it will likely be some form of freemium starting in September. I want to avoid ads if at all possible.<p>If you’ve got a few minutes (and come on, with Reddit offline, I know you do), check it out and let me know what you think!<p>App: <a href="https://app.theapricot.io" rel="nofollow noreferrer">https://app.theapricot.io</a><p>Homepage: <a href="https://theapricot.io" rel="nofollow noreferrer">https://theapricot.io</a><p>Blog: <a href="https://blog.theapricot.io" rel="nofollow noreferrer">https://blog.theapricot.io</a>
Show HN: Apricot – because RSS won't come back unless we move it forward
I’ve been using RSS readers for decades, but they’ve started feeling more and more like a chore. Something about the inbox/to-do list design, counts of unread items, managing teams and complex filtering rules... I realized they add to my stress level instead of reducing it.<p>I’ve also come to rely on social media for discovery – hearing about new ideas, tools, papers, people, etc., but I’m so tired of the ads, spam, addictiveness, and toxicity.<p>Apricot is my attempt to distill the best of both worlds. It’s a web app where users subscribe to feeds like an RSS reader then see new items as they come in, in a single, combined, social media-style feed.<p>Apricot goes beyond traditional RSS readers in a couple other ways:<p><pre><code> * Users can follow TV shows (via TVmaze), Spotify podcasts, Substack newsletters, YouTube channels, and Subreddits (if/when they come back online) in addition to traditional RSS feeds. I’m open to adding other platforms if there’s demand and the content is programmatically accessible.
* Cross-platform feed search. I know search isn’t hot at the moment but it’s pretty useful in this context. Search for “Star Trek” and find not just the TV shows, but the podcasts and Subreddits too.
* Items can be sorted chronologically or with an ML-powered recommender system.
* Users can filter their feed by platform, which is helpful for specific use cases like finding a good podcast episode for a car ride or a good TV episode to watch after dinner.
* On-demand, GPT-powered content summaries help users see what an article is really about before clicking. (gotta sprinkle some gen AI on there!)
</code></pre>
Apricot is free while it’s in beta. I’m still thinking through the pricing model, but it will likely be some form of freemium starting in September. I want to avoid ads if at all possible.<p>If you’ve got a few minutes (and come on, with Reddit offline, I know you do), check it out and let me know what you think!<p>App: <a href="https://app.theapricot.io" rel="nofollow noreferrer">https://app.theapricot.io</a><p>Homepage: <a href="https://theapricot.io" rel="nofollow noreferrer">https://theapricot.io</a><p>Blog: <a href="https://blog.theapricot.io" rel="nofollow noreferrer">https://blog.theapricot.io</a>
Show HN: LLaMA tokenizer that runs in browser
Show HN: LLaMA tokenizer that runs in browser
Show HN: LLaMA tokenizer that runs in browser
Show HN: A smarter Unix shell and scripting environment
Show HN: A smarter Unix shell and scripting environment
Show HN: A smarter Unix shell and scripting environment