1171 summarised stories about AI Agents & Workflows, each linking back to the original source. Browse all topics →
Product Hunt 2 days ago 3
Lugh Xtudio launched as an AI video editor where AI agents edit alongside you on a timeline. It’s free on Mac, Windows, and Linux in beta. Video editing can now be done by giving each channel its own workspace and running multiple agents to create effects, 3D, maps, and custom edits by asking.
SiliconANGLE 2 days ago 11
NiCE shifted after its Cognigy acquisition from offering CCaaS with added AI to positioning CXone and Cognigy as an AI platform built on conversational data and accountability. A year after closing the Cognigy deal, NiCE demonstrated an AI agent workflow with a $250 supervisor-approval guardrail and reported “52% year-over-year ARR” from multiyear commitments. It changes how customers plan deployments—prioritizing faster time-to-value (30-day goal), using interaction data to build and govern agents, and measuring resolution and accuracy instead of containment.
MIT Technology Review 2 days ago 30 ● 2 sources
Nick Cammarata of Goodfire published a long blog post arguing that the behavior of neural networks may be easier to interpret and control than many researchers believed, based on new observations from mechanistic interpretability work. He says he spent about 10 hours a day, 7 days a week for most of the last year looking at neurons. The response is shifting debate from treating models as completely tangled to a more optimistic but still contested view of how much understanding is feasible for LLMs, with some researchers urging more rigorous evaluation and rejecting the broader “breakthrough” inference.
Amazon Web Services 2 days ago 5 ● 2 sources
vLLM introduced bi-directional KV cache transfer between prefill and decode nodes to reuse previously computed context across turns in Prefill-decode disaggregated serving. In a 1P1D setup on Amazon EC2 P5en instances with EFA, it reduced TTFT by up to 1.6x for Qwen3-32B and up to 3.3x for zai-org/GLM-5-FP8 at the longest prompt lengths tested. With the feature on, prefill can pull retained KV blocks from decode instead of recomputing growing conversation history, keeping TTFT flatter as context increases.
NVIDIA Blog 2 days ago 30 ● 3 sources
The European Broadcasting Union partnered with NVIDIA to expand its sovereign framework for broadcasters and integrate cloud providers and open models for agent deployment, while Adobe used NVIDIA-accelerated search to speed up video semantic search for media teams. Adobe’s GPU-accelerated pipeline delivered about 5x faster embedding generation, up to 4x higher throughput, and up to 5x lower latency for search processing. These moves push broadcasters toward deployable agent-ready systems that keep data and editorial control under a sovereign approach and give producers faster in-video retrieval via search proxies and semantic queries.
SiliconANGLE 2 days ago 13 ● 2 sources
Motive launched an “Agents” capability for its physical-operations platform that automatically responds to safety, maintenance, and operational issues instead of only sending alerts. The company says companies lose about $46 billion to preventable operational problems. It moves workflows toward automatic driver contact, maintenance work orders, and coordinated fleet responses, with natural-language agent creation planned for early 2027.
Product Hunt 2 days ago 20 ● 2 sources
Exa.ai launched Exa 3.0 as an updated search API for AI agents. It adds a larger embedding model and includes 1.27B ecommerce listings and 211M+ local businesses. It cuts Dynamic Highlights token use by 95% versus full page text and introduces new API pricing tiers with Exa Lite at $4 per 1,000 requests and Exa Auto at $7.
Jovi De Croock 2 days ago 26
Cloudflare shared a concept for an agent-native Git workflow, and the author built gittifacts to implement it. Each Change runs CI plus evidence steps, and in one local run it took 13 to 17 minutes per Change. The process shifts human review from reading diffs to approving Plans, while machines gather signed evidence to assign merge lanes and enable auto-merge only when reversibility and feature-flag rollouts allow fast reverts.
Product Hunt 2 days ago 22
SearchTok launched to make TikTok and Instagram searchable for AI agents by linking to tools like Claude and ChatGPT via one URL. It ranks posts by how far they beat an account’s usual views and lets users pull hooks and identify the creators behind the outliers. This adds a new way for creators and marketers to query social media content through AI rather than browsing manually.
DeepSeek 2 days ago 2 ● 4 sources
DeepSeek launched Search API and Fetch API to let AI agents and RAG apps retrieve live web content via JSON endpoints using the same bearer auth as its main API. Search is billed at $0.75 per 1,000 successful requests and Fetch is $0.75 per 1,000 successful requests, with billing starting at 00:00 Beijing time on November 1, 2026. Billing is per successful call (not tokens or result count), and the APIs enforce separate QPS limits (Search 100 QPS, Fetch 25 QPS) with read-only behavior.
pub.towardsai.net 2 days ago 3 ● 2 sources
AWS Strands reruns of fixes initially kept about 252,000 tokens of agent history after eight log fetches. The plugin change stored large outputs externally using short IDs and reduced the chat context to about 9,000 tokens. Repeat calls were capped, so the agent’s loop behavior became more controlled and the chat stayed smaller.
YouTube 2 days ago 39 ● 2 sources
AI agents fail when tool outputs are large because the model repeatedly re-reads the full response while generating the next steps. A 214KB tool output can make the agent’s answers get worse even with a larger context window. As a result, developers need fixes that control or trim tool output size rather than relying on bigger context limits.
Trending Topics 2 days ago 29
Jakob Neugebauer launched Agentic Firmenbuch, letting AI assistants query Austria’s Firmenbuch company register in plain language and receive results with sources.
SiliconANGLE 3 days ago 37
Pax8 launched 8os for IT partners to govern AI agents in customers’ businesses and introduced 8bot as a managed AI coworker deployed under that system. Early access is opening this week, ahead of general availability planned for early next year. The change lets partners manage multiple vendors’ agents as one workforce with per-customer separation, metered usage with hard caps, and quick deployment and billing for 8bot.
Fortune 21
Atlassian CEO Mike Cannon-Brookes said accountability for AI agent actions must stay with the end user, not an excuse that “the AI did it,” and described how Atlassian’s agent controls are meant to make agent edits visible and attributable. On Oct. 6, Atlassian rolled out its “Agentic Multiplayer Protocol,” a control plane intended to show agent contributions in document history like a colleague’s. This shifts workplace adoption toward governed, permissioned AI agents with clearer provenance and auditability, contrasting with consumer tools that try to hide what the agent is doing.
Together AI 3 days ago 19
Together introduced Together Post-Training, a service that lets users define and run custom post-training loops using RL (environment rewards) and SFT (supervision data) on Together’s platform. For the first eight weeks, it costs $9 per GPU-hour of B200 usage. After training, users can serve resulting models more efficiently via multi-LoRA adapter swapping and keep quality when moving to merged FP4 production inference.
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TLDRocket
22 October 2026
The most important AI story today wasn’t a new model spec sheet—it was the reminder that “normal operation” can still be a security failure. EchoLeak showed how a carefully crafted, Microsoft 365 Copilot input could steer how the system processes enterprise content, changing downstream actions and creating a pathway to exposure. It’s the kind of threat shift security teams have been warning about: once AI can do more than answer—once it can act inside workflows—the risk isn’t just credential theft or malware, it’s mapping inputs to permissions and outcomes, including that fuzzy zone called “excessive agency.”
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