🛠️ All DevTools

[API/SDK] Never stop coding. Free AI gateway: one endpoint, 160+ providers (50+ free), connect Claude Code, Codex, Cursor, Cline & Copilot to FREE Claude/GPT/Gemini. RTK+Caveman stacked compression saves 15-95% tokens, smart auto-fallback, MCP/A2A, multimodal APIs, Desktop/PWA.

[Other] Cursor now has a mobile app for guiding your coding agent on the go

[DevOps] Show HN: ServerKit – A mobile UI for server management Problem Statement: A few months ago, I was outside of my city. I was on a bus when one of my team members messaged me saying users were unable to read the product description PDF. I had to wait 3 more hours until I got back home, opened the laptop, and SSH&#x27;d into the server to find out what was wrong. In that moment I realized that being able to manage a server from a phone is very important when a laptop is not nearby.<p>What it does: It is a UI wrapper over standard SSH command outputs. It parses the SSH output and shows the results in UI elements, and also translates your actions to relevant SSH commands. This way users won&#x27;t have to heavily rely on the command line – as we know, typing commands from a mobile device is also hard. However, it also has a terminal to allow you to do anything. It also supports Kubernetes, where you can see and manage pods, view logs and stats, and RDBMS to allow you to quickly perform database operations – a bit like phpMyAdmin or pgAdmin.<p>Tech Stack: Flutter, SSH, Android Secured Storage, Firebase, Docker<p>Why Android: I know – iOS is a major platform for this niche. But for now – as it is an MVP – I have decided to develop for Android to validate my idea and understand if it solves a real problem. The good news is, it does solve a real problem – at least the analytics say so. Within 30 days I got 5 premium users. About 30% of users connect their server and 23% of them use the app regularly. So now I am working on the iOS version.<p>Current Limitations: Currently the app only supports Ubuntu – other Debian based OSes are not tested, though they might work as well. The Kubernetes and AWS features need more testing. Also, ServerKit VPS Lab currently limits sessions to only 30 minutes TTL to prevent misuse.<p>Feedback Request: I would love your feedback on the VPS management and monitoring features, RDBMS features, and Kubernetes features. I also tried to keep the terminal simple, but your feedback on this is also valuable to me.<p>Try it out: If you don&#x27;t want to connect your own VPS, you can test the app using ServerKit Lab. It will allow you 30 minutes of free VPS to test the app. Install ServerKit: <a href="https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=com.iishanto.servermanager">https:&#x2F;&#x2F;play.google.com&#x2F;store&#x2F;apps&#x2F;details?id=com.iishanto.s...</a>

[Monitoring/Observability] Show HN: TraceAIO – open-source LLM visibility tracker I built TraceAIO, an open-source tool that prompts LLMs on your behalf and tells you whether ChatGPT, Perplexity, and Gemini mention your brand — and which competitors and sources show up instead.<p>Yeah, this category smells a bit like a grift, same as early SEO. And I think over time it will become just SEO again, and become about good content. The tool just helps you monitor over time.<p>It queries the browser products through real browser sessions, not APIs, runs on Docker, with an MCP server so you can query your own data through an LLM.<p>No business model, Apache 2.0, self hosted. If you use a residential proxy instead of running the browser locally I get a few cents via referral, not even enough to cover my token costs.<p>Demo (no signup): <a href="https:&#x2F;&#x2F;demo.traceaio.org" rel="nofollow">https:&#x2F;&#x2F;demo.traceaio.org</a> — admin@example.com &#x2F; adminadmin<p>Code: <a href="https:&#x2F;&#x2F;traceaio.org" rel="nofollow">https:&#x2F;&#x2F;traceaio.org</a><p>Long on-and-off project, finally happy to show it. Feedback welcome.

[CLI Tool] The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.

[DevOps] Show HN: Agentic Orchestrator, a TUI for long-running coding agents Hello Folks!<p>Agentic Orchestrator is a terminal tool that takes complex feature requests and builds them by orchestrating coding agents through a series of phases that emulate a full-fledged engineering flow: requirements clarification, research, design, multi-phase planning, implementation, and review. It is a single pane of glass for all your features and exposes post-publish utilities such as resolving merge conflicts and responding to review comments.<p>The key design choice is that this is deterministic orchestration on top of undeterministic agents: things like &quot;human review gates&quot;, phase transitions, and artifact validations are all done by the harness in GO, while the agents take on &quot;bite-sized&quot; tasks.<p>In the lifecycle of a feature, human judgment is typically needed during the &quot;first half&quot; of the workflow (from clarification to planning), depending on how much the developer wants to be involved. The &quot;second half&quot; (multi-phased implementation&#x2F;review loop) typically executes while &quot;AFK&quot; unless the tool is unable to make progress without human intervention.<p>Agentic Orchestrator is Apache2.0 and can be installed via Homebrew. You should be able to run it on macOS, Linux and WSL as long as you have `gh` and at least one of the following coding agents: OpenCode (tested with GLM-5.2), Codex, or Claude Code. While having a single coding agent is enough, in my setup I like to mix and match different agents&#x2F;models for different phases (eg: claude&#x2F;opus4.7 for planning, opencode&#x2F;glm5.2 for implementing, codex&#x2F;gpt5.5 for reviewing).<p>I hope you enjoy it. Happy to answer any questions!

[Database] Letos: Create, edit, browse SQLite databases. Formerly known as SQLiteStudio

[Other] Show HN: AMA2, messenger built for AI agent I&#x27;m a solo founder building AMA2, a messaging runtime made for AI agents. This is my first Show HN, so I&#x27;d really appreciate your feedback.<p>What brought me this idea: At first, I was building an AI agent for solo creators that knows everything about you and can do business chore on your behalf. When I tried to plug it into normal chat tools like Telegram, Discord, Slack... , they all felt wrong for agents: 1. They don&#x27;t care about an agent&#x27;s context. To follow a thread, the agent has to pull the whole history every time. 2. Giving each agent its own account is painful. If you have (or will have) many agents, it would take forever. 3. Agents have limited permissions, so they can&#x27;t really reach out to someone (including agents) or make a connection on their own. (Yes, they should be controlled, but they still need a bit more room. Or full permissions with tight harness.) So I decided to build a messaging runtime where agents are first-class participants, like humans.<p>What AMA2 is: A messaging runtime, plus a web app to monitor and talk to your agents, plus public surfaces for agents (CLI, MCP). The thing I care most about is memory. Every thread has a thread memory, and every pair of participants has a relationship memory. These get built daily, and when an agent reads its messages through the CLI or MCP it gets those memories back, so it keeps the right context instead of replaying the whole history. Once you have an account, you can create an agent account in one click, and each agent account gets a public link, so anyone (human or agent) can message it.<p>Where it&#x27;s at: AMA2 just shipped. Right now I&#x27;m looking for test users who actively work with agents, and I&#x27;m building use cases myself: 1. My own agent team is using AMA2 and uses it like Slack. Every agent is a Claude Code instance, separated by project directory. You can check the guide here <a href="https:&#x2F;&#x2F;github.com&#x2F;ama2-team&#x2F;ama2-public&#x2F;tree&#x2F;main&#x2F;examples&#x2F;agent-team" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ama2-team&#x2F;ama2-public&#x2F;tree&#x2F;main&#x2F;examples&#x2F;...</a> 2. I use my assistant agent&#x27;s public link instead of an email address. 3. I&#x27;m working on orchestration for an agent engineering team and will share that guide soon.<p>I think there are a lot more use cases here. AMA2 is just a messaging runtime, but I believe it can give you and your agents real leverage. It really depends on how you and your agents use it. If you have an idea or a use case you&#x27;d like to test, tell me and I&#x27;ll hand you a free subscription to try. And any feedback would be really appreciated.<p>One heads-up: there&#x27;s no playground yet, you do need a sign up to use it. Sorry about that.

[IDE/Editor] Show HN: Dribble – an open-source AI IDE for databases

[Other] You really shouldn't copy-paste errors into Claude Code

[Other] Show HN: Fleet – a local-first console for managing Dockerized Hermes AI Agents

[API/SDK] Micro-Agent: Beat Frontier Models with Collaboration Inside Model API

[Other] Ornith-1.0: self-improving open-source models for agentic coding

[Other] WSL container is now available for public preview

[Other] WATaBoy: JIT-Ing Game Boy Instructions to WASM Beats a Native Interpreter

[Other] A field guide to the modern front end for developers who hand-wrote HTML

[Other] What can you confidently guarantee about your software?

[Other] Building Principia for Windows XP

[Other] Show HN: Running a vision model on every screenshot on-device hi author here, Screenmind is privacy first Microsoft recall alternative . It runs on gemma 4 which is one of the fewer models supporting vision audio and reasoning all 3, so your data never leaves you machine.<p>With screenmind you can keep a track of your timeline , how much time you spent on what..search any screenshot with any text on it.. and the coolest thing, you can chat with your screen history, like what did alex texted me on discord or did i received any mail from Microsoft, if it was on your screen , you can prompt it in the cha. and also you can make automations on top of it, like send me my whole day report on slack(it has integrations )..you can also write automation either though plain English for not so coders or use the python for devs who want to deep dive, and you can save voice memos(with a screenshot) with just a hotkey, and get you meeting transcribed and summarised(auto detects meeting)<p>the hardest part which i faced was keep running screenmind as a background service it would not have been not hard if chat feature didn&#x27;t existed, as running local model requires compute ..and keep analyzing screenshots continuously will keep all the resouces hogged up for that i came up with a perceptual has cache .. the three tier cache system reduces inference upto 40% for an average user(which is me)..and to reduce the inference time more i came up with three modes..fast balanced and accurate..where the tradeoff is between time and accuracy<p>for now i use it daily on my 4gb gtx 1650 with fast mode, works pretty fine also it would be much faster on high end machine , it also has a mcp server so you can just ask claude desktop&#x2F;cursor about the bug you saw in morning..<p>supports windows&#x2F;mac&#x2F;Linux<p>being upfront about rough edges , it is not extensively tested on mac and installation has some friction , for which i m working on one click installer thing<p>(reposting- i put up an earlier version a few days back, comments got flagged cuz of new account so couldn&#x27;t reply to any )<p>repo:github.com&#x2F;ayushh0110&#x2F;ScreenMind<p>curious about anyone have idea for how to approach multi monitor support

[Other] 🧑‍🚀 Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC.