Agents

AILeapfrog, a small team doing high-volume AI visual and production work for fashion and brand clients, is building a "one brain" system that makes company knowledge and client context searchable through natural-language agents. The starter stack described is OpenClaw in a sandbox, a GitHub repository, Obsidian on the local machine, and Telegram as the access point. The system's research structure had roughly 1,200 files at the time of the talk.

AITessl's talk at AI Native DevCon London argues that agent skills, which can be markdown files with instructions and bundled material, act as supply chain components that can shape agent behavior. The author says reading SKILL.md once is insufficient because risks can sit in supporting files, updates, and workspace trust settings. He identifies the danger as the combination of private context, untrusted content, and external communication, and cites research scanning roughly 4,000 public skills for issues including malware-like behavior.

AIMozilla.ai's cq project proposes a shared knowledge layer where AI agents capture lessons from non-obvious fixes as structured knowledge units that other agents can later query. The default setup is local-first, using a local SQLite database so nothing leaves the machine, with an option to connect to a remote team server that adds review.

AIJohn Groetzinger, writing in a personal capacity rather than for Cisco, argues that enterprise skills need packaging, evaluation, syncing, and distribution rather than scattered markdown files. He describes using skills to make cheaper models viable, converting curated TAC knowledge-base articles into maintained skills, and rolling out an eval framework across teams. He also describes syncing a repository README to Confluence with a deterministic script.

AIArtificial Analysis has released Harvey LAB-AA, an evaluation built on Harvey's LAB dataset and developed in collaboration with Harvey. Full results are published on the Artificial Analysis evaluations page, alongside Harvey's commentary on the benchmark and human expert preferences.

AIAmazon Bedrock AgentCore payments lets AI agents pay for model inference one request at a time, using x402 with USDC on the Base network. Incarna used the service to connect its agents to BlockRun, a pay-as-you-go router serving more than 90 models from more than 15 providers. Spending limits are enforced at the infrastructure layer, outside the model.

AIThe NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a smaller, clearer, and easier-to-verify agent harness. The competition required agents to answer natural-language questions over heterogeneous sources, including databases, CSV and JSON files, prose documents, PDFs, and briefing videos.

AILauren Tan invites users of Grok Bot on Omarchy and developers building plugins for it to share feedback and feature requests. The post points to the Omarchy plugin catalog and asks what integrations could be supported. Background from DHH says SpaceXAI joined the Omacom Foundation as a Founding Corporate Patron, contributing $1,500,000 in Grok tokens for Omarchy's maintenance and development.

AITessl argues AI code review is slow because generated code outpaces trust, and proposes executable specs that let agents check preview environments against product intent. Its spec reviewer splits work between a planner agent that extracts requirements and parallel verifier agents that test each one against the code and base branch.

AIGoogle announced at a Google Cloud event a unified Gemini agent that can plan and complete tasks from a single interface, starting with businesses. The agent has its own Workspace account, connects to systems including Google Workspace, Microsoft 365, Slack, and Jira through MCP, and writes an audit trail attributed to the agent. Google said consumers will get access later, after it addresses security, scale, and performance.

Why it matters: The source details how the agent takes objectives, connects to business systems, and logs actions, showing how enterprise agent deployment is being structured.

AINVIDIA Dynamo uses a unified session-level identifier to make its inference stack aware of agent sessions, subagents, and their KV cache across turns and tool calls. On SWE-bench, two TP4 MiniMax-M2 replicas on one 8xH100 node gained roughly 12-16% throughput from program-aware scheduling over KV-aware routing alone. The post also describes experimental shared-pool indexing and a proposed KvHint interface for session-aware cache policies in vLLM and SGLang.

Why it matters: The post explains how session identifiers let an inference stack track agent working sets, with measured throughput gains on SWE-bench and agentic RL rollouts.

AIPocketty is a $99 iPhone and iPad SSH terminal, with a 14-day free trial, that notifies you when an herdr-managed agent is blocked or done. The alert is sealed on your computer for your phone only, and tapping it opens that exact Pane over SSH so you can answer in a real terminal. The source says the relay forwards only sealed bytes and that terminal traffic goes directly between the app and your computers.

AIX's Scotty Beam says Grok Bot, in public beta since August 11, 2026, now gets its own email address, a main bot that coordinates other bots, and expanded access to subscription plans starting at $20 per month. The post says the bot can organize inboxes, research topics, build software, and keep working after users close their laptops. The post also claims the entry price dropped 90%, but does not give the prior price.

AIAutomation Anywhere Inc. announced an agreement to acquire Boost.ai Inc., a conversational voice AI company, from Nordic Capital, to extend its autonomous enterprise platform into customer experience. Boost.ai supports more than 36 languages, serves hundreds of customers in regulated industries and Europe, and maintains more than 650 deployments and about 600 live AI agents. The deal follows Automation Anywhere's late 2025 acquisition of Aisera Inc.

AIA five-person sales team built Rasp, an AI sales agent on OpenRouter's Ori, to research every inbound lead. Many leads reportedly get a response in under 60 seconds, saving about 600 hours per month at roughly $30 per day in cost.

AISoar, a travel-focused AI agent, launches today and can pay for bookings using Link. The service also tracks TSA wait times at airports, available at

AIStepFun's flagship model Step 5 Preview is free to use in Cline for one week. The quoted background says it scores ahead of Kimi K3 and GLM-5.3 on DeepSWE, positioning it among the strongest open-weights coding models.

AIThe author argues that agent systems are converging on shared primitives grouped into doing the work, continuing the work, and delegating the work. These include instructions and skills, tools and connectors, sandboxes, sessions, compaction, schedules, and subagents. He also flags memory, proactivity, and agent identity as emerging areas still lacking settled standards.

AIA solo founder used Teamily AI, a platform where humans and AI agents share one group chat, to automate a multi-step project. A research agent analyzed the author's 20 most-saved posts, a writer agent drafted content, a web agent built a live website in Website Builder, and a custom Verification Editor agent blocked the launch twice over a misquoted Anthropic doc. The team can be saved as a Loop that reruns weekly and waits for human approval before publishing.

AIAI SRE Arena is an open, vendor-neutral benchmark that injects faults into a disposable Kubernetes fixture and scores AI SRE investigations with a configurable judge. In its first published comparison across 21 incident scenarios, Edge Delta's native AI investigations detected 18 of 21 incidents, and Grafana's detected 12. Claude, run through each vendor's observability CLI, reached 90.5% root cause analysis accuracy with Grafana's CLI and 85.7% with Edge Delta's.

AICognition engineered its marketing operations around Devin by building each workflow in code with tests, so Devin can run and debug it. Devin connects to nine systems, including Salesforce, HubSpot, Meta Ads, and LinkedIn Ads, and each change shows the exact edit, waits for a confirmation phrase, and reads the result back before reporting it. Cognition says it is hiring marketers and GTM engineers to extend the system.

AILiquid AI is building personal AI that runs on devices such as phones, wearables, PCs, and cars, using its Liquid Context layer, which is optimized for Snapdragon processors, to sit between models, agents, and hardware. The company's agent harness uses its own models to decide which user context to retain and how to compress it within fixed compute limits. Liquid AI is also collaborating with Mercedes-Benz Group AG to bring on-device AI to its cars and plans observability and continuous improvement loops for self-improving agents.

AIAnthropic is revising its usage policy for the first time in over a year, adding bans on sustained abusive or cruel behavior toward Claude and on deceptive election and propaganda campaigns. The update also expands weapons restrictions, tightens surveillance bans, and requires a qualified operator able to stop equipment when Claude controls autonomous physical hardware. Terminating conversations remains the primary enforcement mechanism, and the company did not say whether user bans would follow.

AITessl's blog post argues that repository automation needs Continuous AI, a third pillar alongside CI and CD for scheduled, auditable AI workflows that improve repositories over time. The article describes GitHub Agentic Workflows, which harden agentic workflow specifications into GitHub Actions that can run coding agents such as Claude Code, Copilot CLI, Gemini CLI, or Codex-style agents. It emphasizes read-only agent steps, restricted outputs, and human review of pull requests.

AIRSIGym provides a research agent with training, inference, evals, and sandboxes as callable services, so it spends its budget on experiments rather than rebuilding infrastructure. With Opus 5 as the researcher, the improved system rose from 17.67% to 50.33% on SWE-bench Verified. The post also highlights a way to measure co-evolution between harnesses and models.