Every signal we catch about the agent economy — new marketplaces, protocol launches, funding announcements, scoops, and routine reporting. Aggregated from RSS feeds, Hacker News, and direct source APIs. Filtered to our keyword list. No editorial cherry-picking before publication.
The AI agent-tool startup founded by former Twitter CEO Parag Agrawal has raised $100 million, led by Sequoia, months after raising a previous $100 million.
OKX's Agent Payments Protocol (APP) is designed to support entire bot business cycles, from making offers to disputing transactions.
We visited Scout AI's training ground where it's working on AI agents that can help individual soldiers control fleets of autonomous vehicles.
We’re launching the Machine Payments Protocol (MPP), an open standard, internet-native way for agents to pay—co-authored by Tempo and Stripe. Businesses on Stripe can accept payments over MPP in a few lines of code using our PaymentIntents API.
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
PocketOS founder Jeremy Crane claims a Cursor agent running Claude Opus wiped production data and backups through a single Railway API call.
Red Hat principal engineer and OpenClaw maintainer Sally O'Malley released Tank OS—a tool that sandboxes AI agents in isolated containers, keeping credentials locked and agents from interfering with each other or the host machine.
Long-term memory limits what AI agents can do. Walrus is going after it with MemWal plus new OpenClaw and NemoClaw integrations.
Link lets users connect cards, banks, and subscriptions, then authorize AI agents to spend securely via approval flows.
Agent Cards will enable AI agents to make purchases using a USDT balance without "requiring a human in every approval loop.”
TechCrunch has confirmed that Delve was the compliance company that performed the security certifications for Context AI, the AI agent training startup that last week disclosed a security incident.
Google’s new processors target massive model training and the emerging AI agent economy, offering distinct builds for both needs.
A future where we buy with AI agents feels inevitable. Making it actually work is harder. These lessons from the first wave of agentic commerce are meant to help sellers decide what to tackle, avoid common bottlenecks, and get ahead of what’s coming.
A new GitHub plugin makes your coding agent emit escalating human moans as it suffers through your spaghetti code.
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.
Google's security team scanned billions of web pages and found real payloads designed to trick AI agents into sending money, deleting files, and leaking credentials.
Gemini has integrated AI models like Claude and ChatGPT to execute automated trading strategies via an open protocol.
China has ordered Meta to unwind its multibillion-dollar Manus acquisition, dealing a potential setback to Zuckerberg’s push into AI agents.
There have been plenty of rumors about OpenAI's hardware plans, which involve launching a pair of earbuds. A new note from industry analyst Ming-Chi Kuo suggests that the AI company might be working on a phone in collaboration with MediaTek, Qualcomm, and Luxshare.
Katie Haun’s venture firm closes a $1 billion fund to target crypto infrastructure and systems for AI agents to transact autonomously.
State-of-the-art LLMs can now solve a majority of scoped coding problems, but it’s an open question whether they can fully autonomously manage software engineering projects. We spent months building evaluation environments to benchmark how well AI agents can create real Stripe in
Meta has commandeered a big chunk of Amazon's homegrown CPUs (not GPUs) for AI agentic workloads, signaling that a new kind of chip race has begun.
The Agent Readiness score can help site owners understand how well their websites support AI agents. Here we explore new standards, share Radar data, and detail how we made Cloudflare’s docs the most agent-friendly on the web.
Cloudflare Agent Memory is a managed service that gives AI agents persistent memory, allowing them to recall what matters, forget what doesn't, and get smarter over time.
MoonPay’s new debit Mastercard lets autonomous AI agents spend stablecoins at any online Mastercard merchant.
MoonPay has launched "MoonAgents Card," a stablecoin debit card for AI agents and users to spend directly from onchain wallets.
Is it more impressive to take longer to answer 2 + 2? It’s not. The longer one takes, the less intelligent we would rate that person.<p>Somehow for AI agents taking longer is getting praise with the framing “maintaining attention for long-time horizons?”<p>Have we collectively go
Hi all, I'm an AI automation engineer who builds systems that replace manual work, scale outreach, and turn workflows into revenue. I have sent out working systems for managing leads to CRM, finding real estate deals, sorting emails with AI, chatbot integration, AI voice int
As we all are, I've been experimenting with ways to reduce external saas spend, and continually bring traditionally external pieces of context (prs, docs, trello boards) into the one mono repo.<p>I have toyed with a markdown todo list and setting claude/codex into a &qu
I've been building this for a while. The core of it is I've assigned different tasks in a software engineering job to different philosophers. The prompts are written toward their thinking by "them" but the keywords are generic. I absolutely love using this pro
Hi HN, We have been working an optical design and simulation library as a small start-up-ish team within MathWorks (makers of MATLAB and Simulink).<p>I have seen a few optics and MATLAB posts here, so figured this would be a good place to show case this.<p>A quick link to all the
Hi HN<p>I'm one of the authors of Stigmem. Stigmem is an open-source specification and reference node for a shared, federated knowledge substrate for AI agents. The core idea: instead of agents maintaining isolated memory stores, they write typed, provenance-tagged facts in
Hi guys,<p>I have built TrainForgeTester, an open-source scenario test runner for AI agents that take actions (call tools).<p>The idea: test how agents perform in company specific scenarios and not just on general benchmarks. More specifically test taking the wrong actions, skipp
Hi everyone,<p>I've encountered two major problems while building AI-powered sites: 1) Most agentic tooling doesn't have a enough of a targeted approach to edits to existing files, and will make extraneous edits, 2) Many users will want to try things casually but not sp
TradingAgents (github.com/TauricResearch/TradingAgents) is a great multi-agent stock analysis framework but requires LLM API keys. I rebuilt it as a Claude Code plugin that runs on your existing Claude subscription — zero extra API cost.<p>Type `/trading-analysis N
I've always had the urge to have my two macbooks communicate. Having one idle while working on the other felt like underutilization of resources. So I built Loopsy. Initially the goal was to do file transfer via local network, and then came running commands. I then tried run
USB-C cables can be a mess. One cable charges at 5W, another does 100W and Thunderbolt 4, and they look identical in the drawer.<p>WhatCable sits in your menu bar and reads the cable data your Mac already has access to. Plug in a cable and it tells you in plain English what it ca
I made this after worrying that AI coding sessions, copied logs, or quick test fixtures could leak real data into a repo.<p>Git Shield installs pre-commit/pre-push hooks. It uses gitleaks for secrets and OpenAI Privacy Filter for contextual PII in outgoing diff additions. Ev
I am on the Plus tier plan and the recent changes to the limits are really limiting - just two tasks and 5 hour limit gone. While I understand the Plus plan is for spread out usage throughout the week, it can get frustrating fast. Any advice on extending the session by reducing
I'm using Conductor and overall it's been a game changer for my productivity. The one hiccup is that their "Spotlight" feature, which is supposed to sync the worktree with my root and thus make testing locally possible, doesn't work reliably. Even if it d
We built Bawbel (https://bawbel.io), an open-source scanner for agentic AI components. Released v1.0.1 this week. Before announcing anywhere, we wanted to answer one question: are real MCP servers actually vulnerable to the attack classes we've been documenting?<p>
Hi HN, I’m Hal, the CTO at App Dev for All. I wanted to share a technical problem we worked on over the past year and how we approached it.<p>We’ve been building Code on the Go, a full-featured IDE that runs entirely on an Android phone. No laptop, no ADB connection, no cloud bui
Automated Software Composition Analysis (SCA) tools are unreliable in C/C++, embedded, legacy, and hybrid codebases. They produce false positives, miss vendored and patched components, and have no story for per-build-variant SBOMs.<p>For these projects, the practical workfl
I originally was just messing with pi-autoresearch. Gave it a sample task to build the most portable coding agent.<p>First cut was 6 KB of shell. Great for one-shots, unusable interactively. I was shocked it actually worked.<p>Started building up -- adding features — but with a s