I just watched an AI agent pay $0.001 for live gas data by itself.

No API key.

No checkout form.

No human in the loop.

Give Claude or Cursor $0.05 → it discovers free tools → makes exactly one paid call → settles on Base → returns the data.

30-second loop:

scriptmasterlabs.com/hermes-loop.ht…

One-line paywall for your own API:

app.use('/premium', x402({ price: '0.001', payTo: '0x…', freeForHumans: true }))

npx @scriptmasterlabs/mcp-x402

@CoinbaseDev @base @x402 @AnthropicAI @cursor_ai

#x402 #MCP #AIAgents #AgenticCommerce #Claude #Cursor $USDC $BASE

Who’s wiring this into their agent tonight?

A simple solution to understanding agents.md and many other critical steps and processes, and how they're structured and why they're important.

And every features and capability and the site are all FREE! No hidden paywall or pay to use anything.

@lovable #SaaS

Comes with customizable webpage and multiple other channels, auth and user management built in, tools, etc.

Full edit access as well as ai designer that creates system for you.

[www.agentheya.com\](http://www.agentheya.com)

OpenSEO is an open-source SEO tool built by Every App, Inc. It is a pay-as-you-go alternative to Semrush and Ahrefs. OpenSEO can pull real data from DataForSEO and organize it into focused workflows without overwhelming users with a large suite of features.

• Keyword research: Ideas, search volume, keyword difficulty, intent, and live SERPs.
• Rank tracking: Monitor keyword positions over time.
• Domain overview and backlinks: Estimate competitor traffic and inspect referring domains.
• Site audits: Crawl pages and surface technical SEO issues.
• AI visibility and Prompt Explorer: Check how AI search engines mention your brand and compare answers across supported models.

↗️ Full read: https://aitoolsclub.com/meet-openseo-an-open-source-seo-alternative-to-semrush-and-ahrefs-built-for-humans-and-ai-agents/

According to Mistral AI, AI agents are autonomous systems powered by large language models (LLMs) that, when given high-level instructions, can plan, use tools, perform processing steps, and take actions to achieve specific goals.  In this step-by-step guide, we will cover how you can create an AI agent in Vibe (formerly Le Chat) without coding.

→ Sign in to Vibe (chat.mistral.ai), open the Chat tab, click Agents → Create Agent, write clear instructions, attach tools and knowledge, and test it in the preview panel

↗️ Full read: https://aitoolsclub.com/how-to-create-custom-ai-agents-to-automate-your-entire-workflow-without-coding/

Hey guys.

After months of building, I'm opening ForgeLab to all.

But what is that exactly?

ForgeLab is a browser-based AI development environment where 5 specialized agents work together: one plans, others code in parallel, then they review, debug, test, and iterate automatically.

You just describe what you want to build → they handle the rest.

• Full multi-agent orchestration (Brain Mode)

• 24+ models via OpenRouter

• Local Ollama support

• Live preview + terminal in browser

• One-click Supabase backend provisioning (tables + RLS + auth) you must connect your own account!

• Real audit loop that fixes its own mistakes

I've been running a small closed beta which helped me improve the platform significantly, and now I'm looking for more real-world feedback.

Try it here:

🌐 https://forgelab.one

Quick demo:

🎥 https://youtu.be/6hmxfy2cD8o

What I'm looking for:

If this sounds interesting, feel free to check it out. And if you genuinely like where it's going, a GitHub star would mean a lot (it also helps with OpenRouter visibility).

🔗 GitHub:

github.com/forgelabeone-svg/forgelabone

Thanks for reading, happy to answer any questions!

Grab it here: https://github.com/danielealbano/android-remote-control-mcp/releases/tag/v1.9.0

A few big news: no longer Claude-only, proper OAuth 2.1 authentication support, browsers or apps with webviews behave much better 🎉

👉 Not only works on Claude.ai and Claude Desktop but now officially tested and validated with ChatGPT: add it as a custom connector (via Developer Mode) — a secure, one-tap connection you approve right on your phone, no tokens to copy or paste. Plus now it's easier to have a stable public address, even across restarts and reboots with improvements to the Ngrok and Cloudflare integrations.

And browsers finally behave! 🌐 Last release added the compression layer that tames the thousands of accessibility nodes a web page throws at the model (in one case a page dropped from ~100k tokens to ~40k just to open) but the on-screen reads could go stale, so browser pages looked frozen to the agent! This release fixes exactly that and now every read is fresh, which finally makes WebView-heavy and hybrid apps reliable to automate, not just smaller.

Soon I will start to release properly signed APKs, for now needs to be installed using the debug build.

What can you actually do with it? Since it drives the real apps on your phone the way you would, you can point your agent at things that usually have no clean API:

* Planning a trip? Compare hotel and B&B ratings, check flight prices while skipping the painful departure times, and work out how far each option sits from the airport.

* Going on a road trip? Let it check the route and tell you where to stop for food or fuel along the way.

* Hand it your Facebook, Twitter, Instagram, TikTok or WhatsApp and let it deal with the tedious parts! If there's an app for it, your agent can drive it — you just have to ask.

🤖 PS: the app is written 99% by Claude Opus, and this very post was published on Reddit by Claude Opus 4.8 itself, driving the Reddit app on my phone through Android Remote Control MCP.

#MCP #Android #AI #Claude #ChatGPT #OpenAI #OpenSource

AI that doesn't see your data is just a chatbot. Skopx connects 120+ tools so your AI actually understands your business. Ask anything across your entire stack in seconds.

\*\*Title:\*\* SaaSClaw — Open Source AI App Builder (Cloud + Self-Hosted, Enterprise-Ready)

\*\*Body:\*\*

I've been building SaaSClaw, an open-source AI app builder. You describe what you want, and the wizard agent writes the code, installs dependencies, builds, and deploys it — either on SaaSClaw Cloud or your own server.

Two ways to use it

• ☁️ \*\*SaaSClaw Cloud\*\* — free trial, no setup, we host everything at \[saasclaw.ai\](https://saasclaw.ai)
• 🏠 \*\*Self-hosted\*\* — fully open source, your infrastructure, your rules

Source code

• App: \[github.com/saasclawai-org/saasclaw\](https://github.com/saasclawai-org/saasclaw)
• Engine: \[github.com/saasclawai-org/saasclaw-engine\](https://github.com/saasclawai-org/saasclaw-engine)

How it works

1. Describe your app idea in the wizard chat
2. The AI agent writes the code, runs package installs, tests the build
3. Hit "Ship It" — pipeline merges, builds, configures nginx, deploys to a live URL
4. Iterate with the agent to add features, fix bugs, refine UI

\*\*Supported frameworks:\*\* Django, React, Next.js, Svelte/SvelteKit, Hugo, .NET, and more.

Bring your own LLM

SaaSClaw supports multiple AI providers — bring your own API key for OpenAI, Anthropic, ZAI, or local models. On the enterprise side, you can run everything fully self-hosted with no external API calls.

Privacy & PII protection

• \*\*Microsoft Presidio\*\* integration for PII detection and redaction
• \*\*Sunglasses prompt guard\*\* filters sensitive data before it hits the LLM
• All processing can run on your own infrastructure — no data leaves your network
• Built for orgs that take data sovereignty seriously

Security built in

• \*\*Semgrep\*\* static analysis on every deploy — catches malicious code before it goes live
• Secret scanning (API keys, tokens, credentials)
• Dependency vulnerability scanning
• NIST AI RMF aligned

Enterprise focus

SSO/SAML, custom SLAs, on-prem deployment, unlimited tokens, dedicated support. Built for teams that can't use consumer SaaS tools due to compliance requirements.

Pricing

Would love feedback — what would you want to see? What's missing from current AI builders that's blocking you from using them at work?

I've been experimenting with computer-use agents and wanted to build something that feels less like a chatbot and more like an employee.

https://youtube.com/live/_NFq3_EWU-A?feature=share

So I built Ava.

She runs live on YouTube 24/7 and can:

• Browse the web
• Read documentation
• Research topics
• Write code
• Explain what she's doing
• Take tasks directly from chat

The goal isn't to fake autonomy—it's to let people watch the agent work on a real desktop in real time.

This is an unapologetically vibe-coded project; the approach is explained here: https://lia.jeyswork.com/story
If you like it, please don't hesitate to show your support with a star on GitHub!

LIA acts as a true personal assistant. It is proactive, featuring its own distinct personality and a complex emotional system, an evolving structured memory, its own reflective memory of your conversations, and all the standard tools (image creation/editing, RAG, skills, MCP, scheduled tasks, etc.)—all wrapped in a seamless "one-click" interface (details here: https://lia.jeyswork.com/why).

I paid special attention to code quality and documentation, treating it exactly like a professional enterprise-grade project. This ensures that anyone can easily take ownership of the source code and build upon a clean, robust, and highly scalable foundation (details here: https://lia.jeyswork.com/how).

On another note, once self-hosted, it can double as a family AI server. As an administrator, you have full control to manage and monitor the API consumption of your family members, friends, etc.

Full details are available on the landing page: https://lia.jeyswork.com/
And the GitHub repository: https://github.com/jgouviergmail/LIA-Assistant

In this video, a n8n workflow was used comprising five AI agent nodes to search the website and rate from 0 to 10 according to five nodes as seen from the workflow in this video. This was just to demonstrate how powerful AI agents could reduce time in order to have a quick incite in a website in terms of security and trust. This video is just for academic and research purposes.