AI Math Kit is a browser extension popup that bundles 217 open math problems, 242 plain-language digests of AI and formal-math breakthroughs, and prompt templates for honest AI exploration. The problem bank covers number theory, calculus, and cross-field mysteries, while the breakthrough page includes precise scope notes and paper pointers. A free tier offers browsing; Pro unlocks full explanations and dedicated prompts, with preferences and payment status cached locally.
Modal now bills Sandboxes by active resource use instead of fixed reservations, letting each Sandbox burst past its default 0.125-core and 128 MiB request and pay only for what it uses each second. In a 20-minute coding agent example, bursting cost 8.4¢ per Sandbox-hour versus 20.0¢ for a fixed reservation, a 58% saving. CPU can burst up to 16 cores above request by default, with memory uncapped unless a limit is set.
Factory launched the Cyber Defense Network, an ecosystem of cybersecurity companies whose findings flow into Security Factory so Factory Droids can investigate vulnerabilities, implement code changes and validate fixes through testing. Founding partners include Snyk, Palo Alto Networks, Semgrep, Cogent, Casco, DepthFirst and Detail. The workflow covers signals from partner tools, triage of reachable vulnerabilities, and continuous remediation that produces fixes ready for engineering teams to review and merge, while organizations keep their existing security tools and workflows.
Umo is an AI CMO positioned as a company's first marketing hire, learning a product, audience and market to guide marketing decisions. Its live audit feature takes a website and socials and returns a breakdown of ICP, positioning, competitors and opportunities, while strategy and execution are listed as coming soon and in development. Platform agents for TikTok, Instagram and Reddit are also in development, and a waitlist offers a founding member discount.
LessonFolk is a free, open-source AI tutor that teaches AI topics through the AI chat app you already use, connected via MCP. It offers 15 courses, from an hour-long AI Foundations track to Context Engineering for Long-Running Agents, with a short level check and progress tracking. Courses and code are open source, and users can download or delete their data anytime.
NEAR AI Gateway lets Claude Code, Codex and OpenCode route their AI requests through NEAR AI's private models, with each call's model, tokens and cost logged locally on the Mac. Traces are redacted on-device before sharing, and users review every trace before deciding what leaves the machine. Accepted traces earn NEAR AI Cloud inference credits; the macOS 14+ app is version 1.0.7 at 119 MB.
InferSSD, an open-source inference runtime built on llama.cpp, runs 763B-class DeepSeek-V4.1-Flash-1017 and 816B-class Muse-Spark-Open on consumer machines by keeping routed expert weights on NVMe storage while attention, shared layers and the KV cache stay in RAM or VRAM. On an RTX 5090 with 32 GB RAM and 32 GB VRAM it reports 164.5 tokens/s prefill and 7.27 tokens/s decode for DeepSeek at a 4K prompt tier, versus 8.06 and 0.867 tokens/s for llama.cpp on the same system. The article also estimates that heavy daily use could mean roughly 85 TB of host reads per day and lays out a conditional SSD wear model, noting the figures are assumptions to test rather than a promised drive lifespan.
A developer built an enhanced AI chat app using CopilotKit's new Generative UI, running on the gpt-6-luna model. Setup requires an OpenAI API key in .env.local and npm install, with the app started via npm run dev. OpenAI API usage may incur charges.
Parcha Labs has open-sourced AgentRun, an agent platform that layers self-improvement, durable execution, and a console on top of Claude Code, Codex, OpenCode, and pi, under the Apache-2.0 license.
Why it matters: AgentRun layers self-improvement, durable execution, and a console on top of existing harnesses such as Claude Code and Codex, and provides a concrete case where code review costs dropped from $6,451 per month to 18 cents per run.
World Labs has opened Atlas, its next-generation world model, to everyone, letting users generate and reconstruct explorable 3D worlds. Atlas Build starts from photos or generated images, where Viewfinder reconstructs the scene and allows camera movement, while Chisel blocks out scene structure and updates every camera view. Worlds can be converted from splats into meshes with real geometry for use in games, simulations, Blender and other 3D tools, and Atlas capabilities are also available through developer APIs.
OwnOwl released a v0.2 test build of its iPhone app that runs a large language model entirely on-device, with no internet used for chatting. The update speeds up first replies by warming up on load and caching each conversation, adds longer default answers with a Continue button, and lets the app remember user-confirmed facts. It requires an iPhone with 6 GB of RAM or more and iOS 17 or newer, with model downloads of about 6 GB (GigaChat), 9 GB (Ling), or 14 GB (Gemma).
CanyonOS 0.2 is the first public release of an open-source, model-agnostic tool for finding, observing and scaling agents that slow down workflows. It runs on Docker or Kubernetes, works with any provider offering an OpenAI-compatible API, exports OpenTelemetry-compatible traces and metrics to tools such as Datadog, Grafana, Prometheus, Langfuse and Arize Phoenix, and adds cost and queue time per agent. The project is AGPL-3.0 licensed, requires agents to be rewritten into plain Python with one file per agent, and its FAQ states it has not yet run at large production scale.
Headwig is a Show HN tool for running and testing parallel AI agents without Git worktrees. Apps are organized into "Wisdom" groups that bundle services such as a frontend and backend so they can be built and run together, with services added via the Wisdom menu.
Stay-in-sight released an MIT-licensed outbound email system that runs on Cloudflare Workers and D1, sending cold outreach, newsletters and drip series from the user's own Gmail and SES mailboxes. It ships 64 MCP tools plus a REST API so agents like Claude Code and Cursor can import contacts, schedule sends and answer replies, and the project claims deployment in about 30 minutes with hosting free at low volume or $5/mo on Workers Paid.
Relate is an open-source embedded graph database for AI agents that runs inside the application with no server to deploy and no signup, storing data in memory, a directory or a single .rl file. It speaks openCypher and is tested against the openCypher TCK, and ships with an agent skill plus an MCP endpoint so agents such as Claude Code, Codex and Cursor can write Cypher queries against connected facts. Installation runs through a curl script that verifies release signatures and SHA256 checksums, and libraries are offered for Rust, Python, JavaScript, WebAssembly, Go, Java, Swift and C.
Keenable launched version 1.0 of its AI web search API, claiming first place on the Artificial Analysis Search Index (BrowseComp, DeepSearchQA and AA-Omniscience) and on NEEDLE, its open-source benchmark rerun daily on fresh queries. The release adds 100 million knowledge cards, which summarize key facts on a topic and are refreshed frequently via partner APIs, plus dynamic snippets that read full documents and extract only the needed context, cutting token consumption by 50% on research tasks. Since its launch two months ago the service has served millions of agent queries, and new accounts start with 100,000 requests through one key and one MCP endpoint.
Cerulion Inc. released Cerulion 2.0, an open-source, ROS 2-compatible robot runtime that records runs and replays failures against changed code, with one process per node by default. It ships Linux x86_64/ARM64 and macOS binaries, an rmw_cerulion layer tested on Foxy through Lyrical, and MCAP recordings with byte-exact replay verification that returns a nonzero exit code on divergence. On one x86-64 Linux desktop at 1 MiB payload, the project reports a 4.08 µs median round trip versus 10,952 µs for ROS 2 Jazzy with rmw_fastrtps_cpp defaults.
Buildout is a fan-made strategy game for one to four players built on Harmonies by Johan Benvenuto, published by Libellud. Players lay infrastructure, ship models, draft components, match patterns and deploy AI models to build out their own AI lab.
Neon and Mubit published a template for a data analyst agent on Neon Functions and Lakebase Postgres that sends every model call through Mubit to Neon AI Gateway. In Mubit's benchmark on 20 CL-bench questions run three times each, the setup cut gpt-5.5 input tokens by 73% and answered 40% faster, with accuracy at 65% versus 60% for gpt-5.5 alone. Mubit moves routine steps such as listing tables and writing up answers to a small tuned model after it passes an exam built from the task's own traffic, while gpt-5.5 still writes every SQL query.
AxiomStory is a new AI story studio that reads every chapter of a manuscript and flags continuity errors, such as a character's eye color changing between chapters. It builds a wiki page for each character and place, and reuses one approved look and voice per character across generated pictures and video. The free plan offers about 30,000 words of AI help; paid tiers run from $16 to $160 per month.
Amplitude's proactive product agent Wave, built primarily on OpenAI models, identifies what to build, helps teams ship changes with coding agents, and measures the impact. The setup lets Amplitude ship product improvements in 1–2 days.
Meta's consumer AI agent Muse can now place calls to US businesses on behalf of users, but the feature is limited to paid subscribers in the US. Muse plans start at $20 per month for 500 million tokens per week, or $100 per month for 3 billion tokens. Meta Chief AI officer Alexandr Wang said the feature targets calls people don't want to make, such as insurance, cable, the DMV or dinner reservations, and a Muse email address option will soon roll out to free users.
Amazon announced the public availability of SGLang-Neuron, an out-of-tree plugin that runs SGLang on AWS Trainium through an AWS Deep Learning Container, released by RadixArk with Annapurna Labs. Users keep the same SGLang server interface and generation APIs, while the plugin supplies Trainium-specific models, attention, MoE and a graph runner built on native PyTorch and NKI kernels compiled with torch.compile. It also supports PD disaggregation, transferring the prefill KV cache to a decode server via NIXL over EFA, and the walkthrough serves openai/gpt-oss-120b on a Trainium3 EC2 instance with the pytorch-inference-sglang-neuronx container.
Bugsy is an AI automation system that began as a simple Sentry AI triager and now powers much of the day-to-day operations at a roughly 20-person company. It handles bug reporting and fixing, code review, metrics, and answering questions, and is accessible from Slack, the company forum, and its channels.
Anthropic has launched Claude Meetings, a feature that lets Claude join video calls as a visible participant, answering questions, generating documents and whiteboards, and logging notes and action items. Notes, transcripts and documents Claude produces are collected on a dedicated page in claude.ai after the meeting, and privacy controls block Claude from joining calls with external participants by default. The feature is in beta for Team and Enterprise plans, supports only Google Meet so far, and is unavailable to organizations using HIPAA or customer-managed encryption configurations.
CopilotKit released OpenBot 1.0 on November 9, an MIT-licensed, self-hostable agent workspace where teams bring their own models, agents and infrastructure. Every browser click, file write, MCP tool call and component passes through a governance gateway that evaluates a CEL policy and writes the audit row before acting, with deny rules running first and broken rules failing closed. The release adds Mac and Windows desktop apps, a Learning feature that turns a recorded task into a reusable skill, multi-account support through Composio and Arcade, and Bot-to-Bot orchestration; personal use is free and OpenBot for Business costs up to $29 per active user per month.
Anthropic is rolling out Claude Meetings in beta on Team and Enterprise plans, starting with Google Meet, with other video conferencing platforms to follow. Claude joins the call as a visible participant, builds docs, whiteboards and other artifacts while the team is still talking, and can be asked questions out loud or in chat. After the call, the notes, action items, transcript and anything Claude built appear on the meeting's page in Claude.
Nectar has launched Creator Agent, an AI agent that searches over 300 million creator profiles to find brand partners, then drafts outreach, builds landing pages, and tracks campaigns. It is available globally today for Instagram and TikTok creators, with MCP access via Claude, ChatGPT, Gemini, and Copilot planned.
Meta's Muse Wonder, Muse Spark 1.3 and Muse Ember models are now publicly available in public preview on Google Cloud. They can be deployed through the model garden on Google Cloud with enterprise-grade security and serverless scale.
AWS announced updates to Amazon Bedrock AgentCore runtime, its managed compute layer for agents, with sessions now starting up to 15x faster, scaling to 4x more compute (up to 8 vCPUs and 32 GB, with container images up to 10 GB) and running up to 68% more efficiently, while each session stays in its own hardware-isolated Firecracker MicroVM. Sessions start in under 2 seconds regardless of image size or concurrency, idle agents scale to zero, and agents can mount and save work to a filesystem such as an Amazon S3 bucket with FUSE support so data stays inside the trust boundary. The runtime is available today in AWS Regions across North America, South America, Europe, and Asia Pacific.
Databricks announced that Genie Migrate is now generally available, letting companies move their data workloads to the Databricks Lakehouse with less manual effort. The tool targets teams racing to build AI agents and applications on top of lakehouse data.
Google Search has moved all users worldwide to Gemini 4 Hydrogen, which the company calls its biggest model upgrade to Search yet. The model improves intent understanding for multi-part and typo-heavy questions, adds deeper instruction following and tool calling, and strengthens query fan-out to surface links users might not otherwise find. Responses also become more visual, with more images, comparison tables and custom tools, across all supported AI Mode languages.
Why it matters: Google Search's largest model upgrade to date, with Gemini 4 Hydrogen now handling multi-part questions, tool calling and query fan-out for all users globally.
Phota Labs launched a free iOS app that uses a personal AI photo assistant to turn everyday snapshots into professional-looking images while preserving subjects' real appearance. The a16z-backed startup, founded by former Adobe computational photography staff Cecilia Zhang and Zach Xia, built its own identity model so edits don't alter faces, and adds invisible watermarks to AI-altered photos. It raised a $5.6 million seed round last year and plans an Android app.
AWS has released AWS Emulator, a free local emulator of AWS APIs that runs on a laptop, dev server or in CI without an AWS account, and all of its code was written and reviewed by autonomous agents. It is built from 438 AWS API models covering 200+ services and passes 24,243 of 42,857 scored fidelity tests (56.6%) in release v1.0.322, with AWS KMS at 93.9% and AWS CloudFormation at 15.8%. AWS lists clear limits: no IAM policy evaluation, one region and one account, in-memory short-lived resources, and telemetry on by default.
Databricks introduced Lakehouse//RT, a real-time analytics engine that runs high-concurrency workloads directly on lakehouse data and is now available in beta. The company says it delivers sub-100 millisecond latency at 12,000 queries per second, adds capacity one node at a time, and avoids a separate serving layer; customers Aurasell, VisionHeight and nOps report 6x to 10x lower infrastructure costs after migrating from multi-cluster setups, Apache Pinot and Apache Druid.
Moonshot AI's Kimi K3.1 Pro Highspeed is now available on Amazon Bedrock, 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. Moonshot AI reports 2–3 times the output speed of Kimi K3.1 Pro, and existing Kimi K3 users can switch by changing the model ID. The post shows Chat Completions, Responses and Converse API calls, the Flex tier at half the Standard price, explicit prompt caching with prompt_cache_breakpoint, and connecting the model to the OpenCode coding agent.
Amazon SageMaker AI bidirectional streaming now supports usage-based metering, letting model providers report actual consumption to AWS Marketplace software charges while endpoint infrastructure fees still apply. Deepgram is the launch partner, bringing usage-based Speech-to-Text and Text-to-Speech billing to AWS Marketplace. The design adds a companion WebSocket metadata stream, capped at one message per second and 512 bytes, so providers can send incremental metering records during live sessions.
AWS has open-sourced UAEF (Universal Agent Evaluation Framework), a framework-agnostic system that uses adapters to normalize agent traces from LangGraph, LangChain, Strands Agents, Amazon Bedrock AgentCore and Langfuse into one canonical AgentTrace, then scores them with 36 built-in metrics across 7 dimensions. Results are stored per experiment in Amazon DynamoDB and Amazon S3, so teams can compare agent versions against a baseline, flag regressions with a default 5 percent threshold, and generate statistical reports plus LLM-written insights. The post says customers across 12 organizations in telecom, healthcare and financial services used UAEF before release, and the Apache 2.0 code, Python library, CDK deployment and per-framework notebooks are in the awslabs/uaef GitHub repository.
Why it matters: The AWS team has open-sourced UAEF, which uses adapters to unify agent trajectories from different frameworks into a single format, then scores them across 7 dimensions using 36 metrics, providing a reusable evaluation layer for comparing agent versions across frameworks.
Replit Agent now has two new jobs: buying business supplies through Link and Visa, and building Google Ads campaigns across Search, YouTube, Display and Discover. In the purchasing flow, a browser subagent navigates the merchant site and prepares checkout, then waits for the owner to approve the final total; shell access and general browsing are disabled during payment and approval checks are enforced in code. Agentic Commerce is available for Core and Pro users starting in the US with one-time purchases only, while Agentic Ads is available for Pro users worldwide.
Why it matters: Replit Agent now handles purchasing and Google Ads campaigns, with code-enforced approval gates that show how agent spending limits can be designed.
Databricks unveiled an updated version of its AI agent Genie that can complete extended multistep jobs unsupervised, using an ontology built from customer data stored on the Databricks platform. CEO Ali Ghodsi demonstrated his own live usage, including analyzing weak spots in an employee satisfaction survey, summarizing a failed sales pitch and prepping a podcast interview. Ghodsi said leaders at companies with more than 150 employees can get value from such agents, and that costs can be capped through Databricks' Unity Gateway, which sets usage limits and allows swapping in cheaper open-weight models.