Show HN: Tambo – a tool for building generative UI React apps with tools/MCP https://ift.tt/PD1U4Xy

Show HN: Tambo – a tool for building generative UI React apps with tools/MCP Hey! We're working on a React SDK + API to make it simple to build apps with natural language interfaces, where AI can interact with the components on screen on behalf of the user. The basic setup is: Register your react components, tools, and MCP servers, and a way for users to send messages to Tambo, and let Tambo respond with text or components, calling tools when needed. Use it to build chat apps, copilots, or completely custom AI UX. The goal is to provide simple interfaces for common AI app features so we don't have to build them from scratch. Things like: - thread storage/management - streaming props into generated components - MCP and custom tool integration - passing component state to AI plus some pre-built UI components to get started. Would love feedback or contributions! https://ift.tt/TBeLK3s August 2, 2025 at 12:11AM

Show HN: TraceRoot – Open-source agentic debugging for distributed services https://ift.tt/agDiNmB

Show HN: TraceRoot – Open-source agentic debugging for distributed services Hey Xinwei and Zecheng here, we are the authors of TraceRoot ( https://ift.tt/LEpFMcW ). TraceRoot ( https://traceroot.ai ) is an open-source debugging platform that helps engineers fix production issues faster by combining structured traces, logs, source code contexts and discussions in Github PRs, issues and Slack channels, etc. with AI Agents. At the heart are our lightweight Python ( https://ift.tt/q93d1Si ) and TypeScript ( https://ift.tt/8wAyQqL ) SDKs - they can hook into your app using OpenTelemetry and captures logs and traces. These are either sent to a local Jaeger ( https://ift.tt/s8nmbOE ) + SQLite backend or to our cloud backend, where we correlate them into a single view. From there, our custom agent takes over. The agent builds a heterogeneous execution tree that merges spans, logs, and GitHub context into one internal structure. This allows it to model the control and data flow of a request across services. It then uses LLMs to reason over this tree - pruning irrelevant branches, surfacing anomalous spans, and identifying likely root causes. You can ask questions like “what caused this timeout?” or “summarize the errors in these 3 spans”, and it can trace the failure back to a specific commit, summarize the chain of events, or even propose a fix via a draft PR. We also built a debugging UI that ties everything together - you explore traces visually, pick spans of interest, and get AI-assisted insights with full context: logs, timings, metadata, and surrounding code. Unlike most tools, TraceRoot stores long-term debugging history and builds structured context for each company - something we haven’t seen many others do in this space. What’s live today: - Python and TypeScript SDKs for structured logs and traces. - AI summaries, GitHub issue generation, and PR creation. - Debugging UI that ties everything together TraceRoot is MIT licensed and easy to self-host (via Docker). We support both local mode (Jaeger + SQLite) and cloud mode. Inspired by OSS projects like PostHog and Supabase - core is free, enterprise features like agent mode multi-tenant and slack integration are paid. If you find it interesting, you can see a demo video here: https://www.youtube.com/watch?v=nb-D3LM0sJM We’d love you to try TraceRoot ( https://traceroot.ai ) and share any feedback. If you're interested, our code is available here: https://ift.tt/LEpFMcW . If we don’t have something, let us know and we’d be happy to build it for you. We look forward to your comments! https://ift.tt/LEpFMcW August 1, 2025 at 10:28PM

Show HN: Sourcebot – Self-hosted Perplexity for your codebase https://ift.tt/0JzCoOU

Show HN: Sourcebot – Self-hosted Perplexity for your codebase Hi HN, We’re Brendan and Michael, the creators of Sourcebot ( https://ift.tt/ZNEwFoI ), a self-hosted code understanding tool for large codebases. We originally launched on HN 9 months ago with code search ( https://ift.tt/6rlk1HZ ), and we’re excited to share our newest feature: Ask Sourcebot. Ask Sourcebot is an agentic search tool that lets you ask complex questions about your entire codebase in natural language, and returns a structured response with inline citations back to your code. Some types of questions you might ask: - “How does authentication work in this codebase? What library is being used? What providers can a user log in with?” ( https://ift.tt/xJDHUX1 ) - “When should I use channels vs. mutexes in go? Find real usages of both and include them in your answer” ( https://ift.tt/4R8JIHY ) - “How are shards laid out in memory in the Zoekt code search engine?” ( https://ift.tt/jEQ8i2d ) - "How do I call C from Rust?" ( https://ift.tt/WP2i1GR ) You can try it yourself here on our demo site ( https://ift.tt/JSQXPpl ) or checkout our demo video ( https://youtu.be/olc2lyUeB-Q ). How is this any different from existing tools like Cursor or Claude code? - Sourcebot solely focuses on code understanding . We believe that, more than ever, the main bottleneck development teams face is not writing code, it’s acquiring the necessary context to make quality changes that are cohesive within the wider codebase. This is true regardless if the author is a human or an LLM. - As opposed to being in your IDE or terminal, Sourcebot is a web app. This allows us to play to the strengths of the web: rich UX and ubiquitous access. We put a ton of work into taking the best parts of IDEs (code navigation, file explorer, syntax highlighting) and packaging them with a custom UX (rich Markdown rendering, inline citations, @ mentions) that is easily shareable between team members. - Sourcebot can maintain an up-to date index of thousands of repos hosted on GitHub, GitLab, Bitbucket, Gerrit, and other hosts. This allows you to ask questions about repositories without checking them out locally. This is especially helpful when ramping up on unfamiliar parts of the codebase or working with systems that are typically spread across multiple repositories, e.g., micro services. - You can BYOK (Bring Your Own API Key) to any supported reasoning model. We currently support 11 different model providers (like Amazon Bedrock and Google Vertex), and plan to add more. - Sourcebot is self-hosted, fair source, and free to use. Under the hood, we expose our existing regular expression search, code navigation, and file reading APIs to a LLM as tool calls. We instruct the LLM via a system prompt to gather the necessary context via these tools to sufficiently answer the users question, and then to provide a concise, structured response. This includes inline citations, which are just structured data that the LLM can embed into it’s response and can then be identified on the client and rendered appropriately. We built this on some amazing libraries like the Vercel AI SDK v5, CodeMirror, react-markdown, and Slate.js, among others. This architecture is intentionally simple. We decided not to introduce any additional techniques like vector embeddings, multi-agent graphs, etc. since we wanted to push the limits of what we could do with what we had on hand. We plan on revisiting our approach as we get user feedback on what works (and what doesn’t). We are really excited about pushing the envelope of code understanding. Give it a try: https://ift.tt/I7xk32c . Cheers! https://ift.tt/k7j2Yvd July 30, 2025 at 08:14PM

Show HN: I use AI to send myself personalized weekly recaps from my saved links https://ift.tt/LaxzFkQ

Show HN: I use AI to send myself personalized weekly recaps from my saved links Sharing something that I’ve been working on: I made a save-later app for all my bookmarks. I save links throughout the week and, every Sunday morning, the app sends me a personalized recap with: -patterns and themes that connect my week to my broader interests -a nudge toward links I saved but never revisited -one reflective question to help me decide what else might be worth exploring I was inspired by older read-later apps like Instapaper. I wanted to make something minimalist, so it’s just a simple feed of your links (with tags and annotations linked to each link) and it is set up to ingest all kinds of content, not just text. I also did want it to be bloated as the full-fat AI stuff you see recently. So this is a simpler and more proactive take on the concept of a bookmarking app. Imagine if Pocket and Spotify Wrapped had a baby. I also personally enjoy using the chat to find links across subjects and sources with context, like “Show me the 5 links on travel i’ve returned to the most” or “all recipes with porcini mushrooms” or “show me everything on Topic X i’ve made the most notes on.” I’ve posted about this on HN before, always had great feedback. Happy to answer any questions. (I’m not technical, I'm a writer/ filmmaker.) https://tryeyeball.com/ July 31, 2025 at 04:38AM

Show HN: State of the Art Open-source alternative to ChatGPT Agents for browsing https://ift.tt/HgMKN5C

Show HN: State of the Art Open-source alternative to ChatGPT Agents for browsing Hey HN, We are Winston, Edward, and James, and we built Meka Agent, an open-source framework that lets vision-based LLMs execute tasks directly on a computer, just like a person would. Backstory: In the last few months, we've been building computer-use agents that have been used by various teams for QA testing, but realized that the underlying browsing frameworks aren't quite good enough yet. As such, we've been working on a browsing agent. We achieved 72.7% on WebArena compared to the previous state of the art set by OpenAI's new ChatGPT agent at 65.4%. You can read more about it here: https://ift.tt/cgDrHpW . Today, we are open sourcing Meka, our state of the art agent, to allow anyone to build their own powerful, vision-based agents from scratch. We provide the groundwork for the hard parts, so you don't have to: * True vision-based control: Meka doesn't just read HTML. It looks at the screen, identifies interactive elements, and decides where to click, type, and scroll. * Full computer access: It's not sandboxed in a browser. Meka operates with OS-level controls, allowing it to handle system dialogues, file uploads, and other interactions that browser-only automation tools can't. * Extensible by design: We've made it easy to plug in your own LLMs and computer providers. * State-of-the-art performance: 72.7% on WebArena Our goal is to enable developers to create repeatable, robust tasks on any computer just by prompting an agent, without worrying about the implementation details. We’d love to get your feedback on how this tool could fit into your automation workflows. Try it out and let us know what you think. You can find the repo on GitHub and get started quickly with our hosted platform, https://ift.tt/f69pnVH . Thanks, Winston, Edward, and James https://ift.tt/XF2dwTS July 30, 2025 at 07:41PM

Show HN: Docucod – Automatic documentation for any codebase https://ift.tt/d1jSYXt

Show HN: TanStack DB – Reactive DB with Differential Dataflow for TanStack Query https://ift.tt/uPUZIaT

Show HN: TanStack DB – Reactive DB with Differential Dataflow for TanStack Query Hi HN, Kyle, Sam and the TanStack team here. We’ve been working on TanStack DB, an embedded, reactive client database for TanStack Query, and are proud to announce today that with the 0.1 release that it's now in BETA! TanStack DB plugs into your existing TanStack Query useQuery calls and uses Differential Dataflow to incrementally recompute only what changed, so updates stay sub-millisecond even with 100k rows. You get live queries, optimistic updates with automatic rollback, and streaming joins — all in the client! TanStack DB works with REST, GraphQL, WebSockets, and shines with sync engines like ElectricSQL or Firebase, letting you load large, normalized collections once and stream real-time changes into the client without manual bookkeeping. It sits on top of queryClient so you can adopt it incrementally, one route at a time. - Intro post: https://ift.tt/e9v48NZ... - Local-first sync via Electric: https://ift.tt/2hvz8m5... - Web starter with TanStack Start: https://ift.tt/tm84noV... - Mobile starter with Expo: https://ift.tt/tm84noV... - Project website and docs: https://tanstack.com/db - GitHub repo: https://ift.tt/qyUgsKh Try it out and let us know what you think! https://ift.tt/8Z5PbFL July 29, 2025 at 11:18PM