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#Product updates
Nov 11Wed
  1. AWS Machine Learning Blog60

    UAEF: A framework-agnostic system for closed-loop evaluation of AI agents

    AWS introduces the Universal Agent Evaluation Framework (UAEF), an open-source, framework-agnostic system that uses adapters to normalize agent traces from LangGraph, LangChain, Strands Agents, Amazon Bedrock AgentCore, and Langfuse into a common AgentTrace format, then scores them with 36 built-in metrics across 7 quality dimensions. Results are stored per experiment in Amazon DynamoDB and Amazon S3, enabling comparison of agent versions, regression detection, and report and insight generation, with both a Python library and a low-code web UI sharing the same engine. The post also provides a playbook for choosing metrics and preparing datasets, plus runnable notebooks for each supported framework.

    Why it matters: It offers a detailed, practical reference for teams evaluating agents across frameworks, including metric selection guidance and a closed-loop workflow for catching regressions before release.

  2. Databricks Blog71

    Genie One: The AI cowork home for everyone

    Databricks announced that Genie One is now the enterprise home for AI cowork, combining Genie Search (hybrid AI search indexing tools like Google Drive, Jira, Confluence, Workday and SharePoint, plus over 100 MCP connectors), organizational directories, in-conversation artifacts such as slide decks and dashboards, MCP-based actions across tools, shareable skills, and native apps for browser, desktop, mobile, Slack and Microsoft Teams. Genie can now take more autonomous action on users' behalf, with Unity Gateway providing traces, MCP policies, permissions and cost management, and Genie One is free for users through January 31, 2027.

    Why it matters: It details a major enterprise AI assistant release, useful for readers tracking how agentic workplace tools are being packaged with governance and cross-tool search.

  3. Databricks Blog58

    Bring your business context to ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot

    Databricks introduced Genie plugins that give agents in ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot a governed interface to enterprise context, drawing on Genie Ontology for definitions, relationships and source context. Genie interprets business terms, finds permitted data, writes and runs SQL, routes specialized questions to domain Genie Agents, and returns answers with citations, with interactive visualizations in clients supporting the MCP Apps extension. Agents without native plugins can access Genie through the MCP server.

  4. Databricks Blog60

    From enterprise context to action: Genie Agents now analyze more data sources to transform your work

    Databricks announced that Genie Agents can now analyze unstructured files in Unity Catalog volumes, connect to enterprise tools via generally available native MCP connectors, and be shared outside an organization through OpenSharing and Genie Clean Rooms (both in beta). The post cites customers including Unilever, HelloFresh, S&P Global Energy, Atlassian, General Motors and ModMed, and describes how agents parse documents, cite specific pages, and combine file content with governed tables.

    Why it matters: Useful for readers tracking how enterprise AI agents are expanding from structured-data querying to document analysis, tool actions and cross-organization sharing.

  5. Databricks Blog69

    Announcing GA of Genie Ontology

    Databricks announced the General Availability of Genie Ontology, an agentic ontology layer that agents build by learning from dashboards, SQL queries, notebooks and BI semantic models, while people govern definitions through Unity Catalog semantics. The release adds Genie Search (GA), Ontology Snippets (GA), external knowledge sources (Beta, starting with Power BI), organizational directories (GA, starting with Workday), Domains and Pages (GA), and Ontology Manager (coming soon in Beta). In a benchmark built with Turing simulating a Databricks workspace for a fictional UK energy supplier, Genie answered correctly in 91% of runs versus 45% and 58% for two frontier agents, using less than half the tokens and finishing three to four times faster.

    Why it matters: It details a major enterprise context-layer release and includes benchmark numbers comparing agents with and without the ontology.

  6. Databricks Blog74

    The new Genie: autonomous AI for complex enterprise work

    Databricks introduces the new Genie, an autonomous AI coworker that continuously handles long-running enterprise work, tracking progress, following up on missing inputs, and taking action as new information arrives, with users setting guardrails and approving where needed. It is supported by Genie Ontology for business context, Genie Search for hybrid enterprise search, Unity Gateway and Unity Catalog for governance, and new capabilities including artifacts, MCP connectors, Genie Agents, and plugins for tools such as ChatGPT and Claude. Databricks reports that in a new benchmark built with Turing, Genie answered correctly in 91% of task runs, 1.6 times the rate of the stronger frontier agent, while using less than half as many tokens.

    Why it matters: The announcement details a shift from task-level AI assistance to supervised autonomous agents, with concrete governance, context, and benchmark claims worth evaluating.

  7. OpenRouter Announcements66

    Introducing the Extractions API

    OpenRouter launched the Extractions API in alpha, which pulls named, typed fields out of text, images and PDFs, with launch models from Cloudflare (Clairic), Inception (Mercury Decide) and ScaleDown (Extract). Clairic supports all nine field types and returns spans, p_null and distributions for estimates and forecasts, while Extract handles PDFs with text and list fields and per-value confidence, and Mercury Decide handles text only at the lowest input price. The post walks through invoice, receipt and purchase-order examples with request and response payloads, and contrasts Extractions with the Decisions API, where the model distributes probability over answers you write.

    Why it matters: It gives a concrete, example-driven tour of a new extraction API, including per-model capabilities, pricing and the evidence fields (spans, p_null, confidence) that determine what to trust and what to route to a human.

  8. TechCrunch · AI55

    Databricks’ new AI agent tells CEO Ali Ghodsi the unvarnished truth

    Databricks unveiled an updated version of its AI agent Genie, which can now perform multi-step jobs unsupervised using an ontology built to give it context from customer data on the Databricks platform. CEO Ali Ghodsi demonstrated his own use of Genie to surface unvarnished truths he might not otherwise hear at a 12,000-employee company, citing Dunbar's number of 150 as the limit on direct relationships. Ghodsi said costs can be controlled through Databricks' Unity Gateway, which lets companies set usage limits and swap in less expensive open-weight models.

  9. Hacker News AI26

    Show HN: AI Code Rating – a 3 character disclosure of how AI was used in a repo

    AI Code Rating is a proposed standard in which a project places an ACR.md file in its repo root with a three-character rating: an uppercase letter for the maintainer's expertise (A–E), a digit for the share of code written by AI (0–4), and a lowercase letter for how closely a human checked AI-written code (a–e). The site offers a rating form that generates the badge and ACR.md file, a validator, and a GitHub Action, and it lists adopters including aicoderating.com, DomainMOD, Email Health Check, and HomelabAPI. The spec is at version 0.1, and the roadmap covers publishing the spec, tooling, adoption, and proposing that code hosts display the rating.

  12. Hacker News AI40

    Europe's most capable Personal AI Assistant

    Bris is a European personal AI agent that works through WhatsApp, Telegram, or Balsio to handle research, email, calendars, and follow-ups, including drafting replies and comparing options with sources. It can remember shared preferences, set reminders, and coordinate plans with a friend's Bris when everyone involved agrees, with users choosing what it can access and remember.

  13. Hacker News AI58

    Show HN: Tensward – Local AI inference optimisation

    Tensward is an Apache-2.0 tool that measures how your LLM is served on your own machine by starting its own copy of vLLM or llama.cpp on a local port, sending a realistic workload, and reading engine and GPU metrics. It offers one flag change at a time, measures it, compares answers before and after, and keeps the change only if it is faster and the answers pass your check; it never stops or reconfigures your running server. It supports NVIDIA and Apple Silicon hardware, and the post includes two L4 case studies showing gains such as +40% requests/s and first word −47% on llama.cpp, and first word 19 s → 0.30 s on vLLM.

  14. The Verge · AI38

    Adobe’s AI experiments let you walk around in photos and interview your characters

    At Adobe Max, Adobe announced experimental "sneak" projects including Project Screen Test, which lets you converse with and direct AI characters in an audition-like environment, and Project Sight Span, which turns flat images into navigable 3D scenes that restore resolution at a chosen angle. Other previews include Project Sound Bender for prompt-based sound effects adjusted on a square sound canvas, and Project Rinse Repeat, which copies Photoshop edits and applies them to other subjects in a photo. Adobe says these are tech previews that may eventually reach Creative Cloud or Firefly, with a theme of making complex editing, filmmaking and audio workflows more accessible and intuitive.

  15. Hacker News AI62

    Show HN: Hubzoid – Turns a folder of Markdown into an AI agent your team can use

    Hubzoid is an Apache-2.0 tool that turns a folder of Markdown files—knowledge, rules, skills and agent instructions—into a shareable AI agent usable in chat, repeatable workflows, or via MCP in Claude Code, ChatGPT or Codex. It runs on an existing Claude Code or Codex login (or a model API key), supports team sign-in, per-person and per-agent access, approvals before consequential actions, and a record of every run. The starter hub is a fictional shop whose refund rule in knowledge/house-rules.md can be edited to see answers change, with evals to check they stay correct.

  16. Hacker News AI38

    Show HN: AI Purgatory – how long until AI-exposed workers are back on track

    An interactive model that follows one worker in an AI-exposed job and compares their income with the path it would have taken without AI, driven by five adjustable questions: the speed of AI adoption and growth, how much new work AI creates, how many displaced workers find new jobs and at what pay, how much of AI's profits is taxed and sent to exposed workers, and where those profits land. It draws on IMF job-exposure estimates, ILO labor-share data, BLS re-employment figures and OECD safety-net rates, and presents recovery dates as illustrative rather than forecasts.

  17. Hacker News AI59

    New In-Memory Database Purpose-Built for AI Agents by NEO4J

    Neo4j released Relate, an open source (Apache 2.0), in-memory, in-process embedded database built in Rust for AI agents and agentic systems, which installs quickly and starts in milliseconds. It offers built-in MCP server connectivity, a CLI, Bolt and HTTP Query API v2 endpoints, sub-millisecond in-memory reads, and is 100% openCypher and more than 97% GQL compliant. Relate is available at https://relatedb.ai.

  18. Mastra Blog58

    Introducing MCP Tasks in Mastra

    Mastra now supports MCP Tasks in its MCPServer and MCPClient, letting long-running tool calls run in the background so the agent loop stays unblocked while the client polls the server for status (working, input_required, completed, failed, or cancelled). Tools can be configured to run as tasks with "always", "auto" (after syncWindowMs, 2 seconds by default), or "off", and tasks can still use suspend() for human input. The feature requires @mastra/[email protected] and @mastra/[email protected] or later and is still experimental, so the API may change between releases.

  20. Hacker News AI58

    Show HN: I checked 10 AI-written patches to real C++ projects – 6 didn't hold up

    Unfix is an independent verifier for C/C++ and firmware bug fixes that reproduces the bug on the base version, applies the fix with sanitizers on, checks other tests still pass, then reverts the fix to confirm the bug returns, returning VERIFIED, REJECTED or NOT VERIFIABLE without an LLM in the verdict. In a public benchmark of 10 AI-generated patches (from Codex CLI) against real bugs in fmt, spdlog, zlib-ng and cpp-peglib, judged against maintainers' hidden reference tests, Unfix verified 4 and rejected 6. It runs as an MCP tool in agents like Claude Code and Codex, as a GitHub PR check (demo repository only), in the terminal, and on STM32 NUCLEO boards via ST-Link.

  21. Hacker News AI36

    Show HN: Episteme AI – Self-healing roadmaps with paywall and dead-link checks

    Episteme AI is a Next.js app that turns career goals into time-bounded, prerequisite-ordered weekly roadmaps built from free public courseware, using Gemini 2.0 Flash with a deterministic 52-week fallback. It uses Cheerio to detect paywalls and dead links via Schema.org JSON-LD and HTTP checks, then swaps in verified free alternatives, with approval-gated calendar and audit-link dispatch backed by SQLite idempotency keys. A live demo is available at episteme-ai-one.vercel.app.

  22. Hacker News AI60

    Show HN: Editmamei – Giving AI agents access to desktop Photoshop and GIMP

    Editmamei is a desktop MCP server that lets Claude and other MCP-compatible AI apps drive real Photoshop 2026 or GIMP 3.2 tools layer by layer, keeping edits reversible and leaving final touches to the user. It ships 112 tools (83 for Photoshop, 29 for GIMP), runs on-device vision models in Photoshop, and offers a free Community edition plus a paid Pro module. A hosted Editmamei Connect version edits photos on its servers, with uploads deleted after 24 hours.

  23. Hacker News AI58

    Show HN: Outlier, AI without the data center, private and offline on your Mac

    Outlier is a notarized macOS app that runs local AI models entirely on Apple Silicon, keeping chats, files and code on the user's disk unless web search or a cloud model with the user's own API key is enabled. It offers six model tiers from a free 4B Nano up to a 397B Plus tier, with a one-time $49 Pro license covering all tiers and features, and requires M1 or newer on macOS 15+. The post includes benchmark tables, socket-sampling evidence of local-only inference, and an explicit list of limitations, including that it does not yet match top cloud coding agents.

  24. Hacker News AI58

    Show HN: Kodelyth ECC – 71 AI agents and MCP and 55% token cuts for Claude Code

    Kodelyth ECC v2.31.1 is an MIT-licensed, locally run toolkit offering 71 specialist AI agents, 196 skills, 104 slash commands, and an MCP server that auto-wires into six IDEs including Claude Code, Cursor, and Windsurf. It claims token savings from RTK input compression (60–90% fewer input tokens), Terse output compression (40–70%), and a tree-sitter codebase graph across 158 languages, with zero telemetry. It installs via `npm i -g kodelyth-ecc` and also includes a Super Agent orchestrator, Devil Mode red-team crew, and local BM25 Memory Core.

  26. Hacker News AI40

    Model Desk – A local-first multi-provider AI workspaceShared via URL-sharer

    Model Desk is an open-source, MIT-licensed Linux desktop app built with Rust and Tauri that connects to Lumo via lumo-tamer, DeepSeek, and any OpenAI-compatible endpoint, with an OpenCode coding agent, local history, attachments with local OCR, tools with permissions, memory, and a Bonsai image studio. Version 0.4.1 adds automatic Bonsai backend start, Lumo Tamer, DeepSeek, and the OpenCode agent, and is distributed as an AppImage or .deb for Linux x86_64. The app stores data in ~/.config/model-desk and reports no telemetry.

  27. Hacker News AI28

    Show HN: Agent Buddies – Swappable animated characters for AI agents

    Agent Buddies is a library of ten original animated characters that each express the same eight agent states, driven by a deterministic event stream with no API calls. It ships React, Web Components and SwiftUI support under MIT code with openly licensed art, plus a picker that lets end users browse, preview and save a favorite buddy on their device. Artists can create their own characters by defining regions on a master image and validating a pack, with a CLI preview available via npx while the npm release awaits owner review.

  28. Hacker News AI42

    Show HN: Halyard – Mac and iPhone app for AI agents in tmux, nothing to install

    Halyard is a Mac, iPhone and iPad app that opens tmux sessions on your own servers over SSH, so AI coding agents like Claude Code, Codex and Gemini keep running when you close the lid or lose connectivity. The Mac app renders with libghostty on the GPU, supports full tmux history search, SFTP file browsing and Keychain-stored keys, and connects directly with no relay or account. It requires a reachable SSH server with tmux, macOS 15 or later, and iOS/iPadOS 17 or later, with a 14-day trial and Halyard Pro at $24.99.

  29. Hacker News AI58

    Lokey – A native Android keyboard with local AI for prediction, autocorrection

    Lokey is a native Kotlin Android keyboard that runs word prediction, autocorrection, dictation and translation models locally on the phone, without an account, subscription or inference service connection. It supports 39 languages and eleven keyboard families, with optional models including LFM 2.5 350M, Qwen 3.5 0.8B, Parakeet v3 and Qwen3 ASR, downloaded separately from the app. It requires Android 9 or later on an ARM64 device, is beta software, and is released under the MIT license with third-party runtimes and model weights under their own licenses.

  30. Hacker News AI38

    AI companion that matches humans

    Kindred is an AI companion app for private text or voice conversations that, if users enable matching, detects broad themes and feelings in those conversations and notifies them when someone with something in common is found, with both parties able to join a shared room under pseudonyms. It also offers Memory and Chapters, which carry selected context between saved conversations, and a W Folder for keeping positive moments. Voice conversations use GPT-Live by OpenAI and text chats use GPT-5.6 Luna by OpenAI, and the app is available on the App Store with a demo.

  32. Google Blog AI28

    Experience the art and legacy of Dr. Esther Mahlangu

    Google Arts & Culture has launched the first online retrospective of South African artist Dr. Esther Mahlangu, timed to her 91st birthday, featuring more than 45 curated stories and an archive of her art, life and legacy. Curator Nontobeko Ntombela describes using AI, including Veo, to visually recreate Mahlangu's undocumented memories from age 10 until her first documented works in 1980, in collaboration with Google DeepMind, the Google Arts & Culture Lab and Domestic Data Streamers. The exhibition was curated with partners including Art of Contemporary Africa, Iziko Museums of South Africa, the British Museum, the Jean Pigozzi Collection, the National Museum of Women in the Arts and Serpentine, and is available at goo.gle/esther-mahlangu.

  33. Hacker News AI58

    Apple's Claris Testing 'Harbor' App for Local AI on Macs

    Apple's Claris subsidiary is testing Harbor, an early-access app that turns Apple silicon Macs into a private AI inference server for open-weight models, with data staying on local hardware. Harbor can cluster multiple Macs over Thunderbolt 5 to pool unified memory for larger models and higher concurrency, using RDMA support added in macOS Tahoe 26.2, and requires no manual configuration or command line. The App Store listing has been removed, and the sign-up page asks for a company name, suggesting a business focus.

  34. Hacker News AI22

    AI Nelo Image

    Nelo Image is a browser-based AI image and photo editor offering text-to-image and image-to-image workflows, with four creative styles, six aspect ratios, and PNG downloads. The first Banana 2.1 image at 1K is free without sign-in or a card and has no visible watermark, while subscriptions run from $19.99 to $79.99 per month with monthly credits.

  35. Hacker News AI25

    VirtualTryOn – AI try-on for clothes, glasses, rings, and hairstyles

    VirtualTryOn is a photo-based tool that previews clothes, glasses, rings, hair color and hairstyles on your own uploaded image, with separate guides for each category. It accepts JPG, PNG and WebP up to 10 MB per image (20 MB combined, 40-megapixel limit), and states that previews are visual aids only and do not establish fit, measurements, lens prescriptions or salon color formulas. Browsing guides and selecting photos use no credits; images are uploaded only when Generate is clicked and can be deleted from My generations.

  36. Hacker News AI42

    Show HN: Daily GPU Rental Prices Across AWS, Azure, RunPod and Vast.ai

    This page lists per-GPU-hour rental prices in US dollars for 11 November 2026 across AWS, Azure, RunPod Secure Cloud, RunPod Community Cloud and the Vast.ai marketplace, covering models from B300 and B200 down to RTX 4090. Prices are computed by dividing a machine's hourly list price by its GPU count, exclude storage, network and support, and omit committed-use or reserved rates; Vast.ai figures are the median and lowest of that day's on-demand offers. Daily price history runs since 02 November 2026, and list prices moving more than 50% in a day are held at the previous value until checked.

  37. Hacker News AI63

    Show HN: A company running in an AI harness

    The author presents Restless, a system for running a small "company" of AI agents inside a persistent Linux machine, where human users set direction and agents handle routine work such as research, builds, QA and scheduling. The post walks through an illustrative day at a fictional game studio, describing roles for people and agents, approval gates for external actions, model choice per agent, and pricing tiers. It also cites FrankenSurf, an open-source project with 100 GitHub stars, as a real example of a Restless company writing its code, shipping releases and marketing it.

  38. AWS Machine Learning Blog58

    Introducing Kimi K3.1 Pro on Amazon Bedrock

    Moonshot AI's Kimi K3.1 Pro Highspeed is now available on Amazon Bedrock, described as a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with more post-training compute for long-horizon agentic work and fewer factual errors. It generates output tokens at a higher rate, with Moonshot AI reporting 2–3 times the speed of Kimi K3.1 Pro, and uses the same endpoint, APIs, and features as Kimi K3, so existing code can switch by changing the model ID. The post covers getting started via the Chat Completions, Responses, and Converse APIs, lowering costs with the Flex tier, explicit prompt caching, and using the model in OpenCode.

  39. Comfy Blog58

    Seedream 5.5 is now available via Partner Nodes

    Seedream 5.5 is now available in ComfyUI via Partner Nodes as a multimodal model that generates from text and edits from images. The release adds multi-turn localized editing, native transparent RGBA output, poster and infographic layouts with readable text, more realistic portraits, and prompt-based lighting control, all behind a single node. Partner Nodes run on credits, and users can load the Seedream 5.5 template from the Templates panel or use Comfy Cloud.

  40. PyTorch Blog71

    ExecuTorch WebGPU: PyTorch Models on the GPU, in the Browser

    ExecuTorch's new WebGPU backend runs PyTorch models exported with torch.export to a .pte file directly on the GPU in WebGPU-enabled browsers, without converting to another framework's format. The same artifact runs across Chrome and Safari on Metal, Vulkan and D3D12, and on an Apple M1 Pro in Chrome it was 4–7× faster than ExecuTorch's Wasm (XNNPACK) CPU path on prefill and 2–10× faster on decode. Validated models include Llama 3.2, Qwen3, Gemma 3, SmolVLM, Depth Anything V2, SAM 2, Whisper and on-device LoRA fine-tuning, all running locally in the tab.

    Why it matters: It documents a concrete path for running PyTorch models on browser GPUs with benchmark numbers and a list of validated models, useful for developers weighing in-browser inference.