We are excited to join Nvidia's Nemotron Coalition of leading AI labs working together to advance open frontier foundation models. To celebrate we have partnered with @nvidia and @nebiustf to provide 2 free weeks of the new Nemotron 3 Ultra model on the Nous Portal!

“You can automate so many things, but you cannot really automate taste or thoughtful design.” @steipete

We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime, which connects Hermes to @Microsoft's security primitives. Watch our feature in the big announcement at Computex:

BuilderShip is an AI hackathon co-hosted by @nebiusai, @composio, @tavilyai, and @openclaw. Finals are on a yacht on June 14, San Francisco Bay. To apply: post something you've built (agent, demo, or repo) and tag all four accounts. Every builder gets GPU credits, Token Factory inference keys, Composio integrations, Tavily search, and OpenClaw runtime from day one. Top 30 builders make the finals. Winner takes home $50K in cloud credits and a DGX Spark. Submit by June 12 → ship.builders

Today we're open-sourcing Bumblebee, a read-only scanner for macOS and Linux. It checks developer machines for risky packages, extensions, and AI tool configs. Connected to Computer, it can trigger deeper scans whenever a new supply-chain risk emerges. github.com/perplexityai/bumb…

Introducing PostHog Code, the product editor that: - Understands your product - Identifies usage patterns - Triages bugs and errors for you - Creates PRs to fix them - Continuously monitors and improves your product Join the waitlist: posthog.com/code

A team in San Francisco killed Perplexity's $20/month subscription. It's called Vane. You get AI-powered search with cited sources, follow-up questions, image and video search, and focus modes for academic papers, Reddit, YouTube, and Wolfram Alpha, running entirely on your own machine. Here's how it works. Vane is an open-source clone of Perplexity built on top of SearxNG which is a meta-search engine that pulls results from Google, Bing, DuckDuckGo, Brave and 70 other sources without tracking the user. You plug in any LLM you want including OpenAI, Anthropic, Groq or local models through Ollama and it answers your questions with real citations pulled from the live web in real time. The entire stack can run 100% locally with Llama 3 and SearxNG on your own hardware which means zero API calls going out and zero data ever leaving your machine. → No $20/month Pro subscription holding the good models hostage → No query limits cutting you off mid-research → No tracking and no profile being built from your searches → Local mode with Ollama supporting Llama, Mistral, Qwen and anything else you throw at it → Focus modes that narrow the search to Academic papers, YouTube, Reddit, Wolfram Alpha or Writing → Image and video search built directly into the interface → Copilot mode that breaks one question into multi-step research and synthesizes the findings Perplexity charges $20 a month for Pro and trains its ranking algorithm on every query you send them. Their entire business model assumes you would never spend an evening with a Docker compose file and a local LLM. Vane runs in one container and SearxNG runs in another and the whole thing points at a Llama 3 model running on your laptop with no internet account involved anywhere in the chain. MIT License. 100% Opensource. github.com/ItzCrazyKns/Perpl…

karpathy's CLAUDE.md hit #1 on github trending. 220,000 stars. most devs still haven't read it. it's 65 lines. it took AI coding accuracy from 65% to 94%. the 4 rules inside: → think before coding state your assumptions. ask when unsure. never guess. → simplicity first write the minimum code that solves the problem. no abstractions nobody asked for. → surgical changes don't touch code unrelated to the request. every changed line must trace back to what was asked. → goal-driven execution turn vague instructions into verifiable success criteria before writing a single line. that's it. 65 lines. 4 rules. 94% accuracy. save this before everyone else does.

FYI: CHAOS as github hacked, with THOUSANDS of private repos now exposed We are monitoring the situation closely - Openclaw and Hermes users have told us they were backing up to github We are working on a much more secure alternative 🔒 📢 Backing up to github is not a good practice

I turned Claude into my 24/7 personal assistant. It's the best thing I've done for my productivity in months. My personal OS stores all my important data (tasks, finances, calendar, journal) in one place. It took me weeks to get this right - now the blueprint is yours:

The top Hermes integrations to give your agent superpowers: 1. Obsidian The Karpathy-style second brain, but one that talks back. Every note, page, and backlink in the vault becomes live context. The agent doesn't just store knowledge, it reasons over it across everything that's been written and saved. 2. Reddit Unfiltered opinions from real users on any product, niche, or problem. No SEO fluff, no corporate blogs. Just raw signal from people who actually use the thing. One of the best research integrations for market validation. 3. InsForge A full agentic backend behind one semantic layer. Auth, database, storage, edge functions, all accessible without wiring five services together. The agent reasons about backend primitives directly instead of calling disconnected APIs. Closest analogy: a PaaS built for agents. GitHub: github.com/InsForge/insforge (don't forget to star 🌟) 4. GitHub Code, issues, PRs. Turns Hermes into an engineering teammate that can actually read the repo. Essential for anyone shipping software. 5. Firecrawl Web search designed specifically for agents. Returns clean structured data instead of raw HTML, which means faster responses and fewer tokens burned per query. Worth keeping on by default. GitHub: github.com/firecrawl/firecra… (don't forget to star 🌟) 6. YouTube transcripts Converts any video into searchable text. Hour-long podcasts, tutorials, conference talks, all become indexed notes in seconds. Easily the most underrated research integration in the stack. 7. Google Workspace Gmail, Calendar, Drive, Docs, and Sheets through one connector. An agent that can't check the inbox, read the calendar, or write to shared docs is basically decorative. This should probably be the first integration anyone enables. 8. Discord Ideal for channel-based automation. Hermes can be plugged into specific channels with dedicated workflows in each. Support tickets from email can be scanned, categorized, and dropped into an organized channel every morning without anyone lifting a finger. 9. Stripe Revenue, refunds, subscription changes, failed charges, all surfaced through a single question instead of clicking through dashboards. "How many trials converted last week" or "which customers downgraded this month" gets a direct answer. Turns Stripe from a payment processor into a queryable business intelligence layer. 10. Bland (or Twilio) Gives Hermes a voice for real phone calls. Booking reservations, confirming appointments, following up on invoices. The call recordings are worth listening to just for entertainment. 11. Graphiti (by Zep) Real-time knowledge graphs that build structured relationships from conversations and documents. Instead of flat vector similarity, the agent traverses typed connections between entities. The difference between "find similar text" and "understand how things actually relate." GitHub: github.com/getzep/graphiti (don't forget to star 🌟) 12. FireFlies Every meeting transcript, fully searchable. "What did that client say about pricing last month" gets answered instantly instead of scrubbing through a 45-minute recording. That said, if you’re looking to set up Hermes, I wrote a full deep dive covering the Hermes agent’s architecture, memory system, self-evolving skills, GEPA optimization, and how to set up multiple specialized agents. The article is quoted below.

This is the best site on the internet to learn harness engineering walkinglabs.github.io/learn-…

Build virtual dev teams with Claude Code github.com/Stanshy/AgentHub

ElevenLabs just lost its moat 🤯 Someone has open-sourced a single app that replaces ElevenLabs AND WisprFlow and runs 100% locally. → Clone any voice from a 3 seconds of audio → 7 TTS engines under one roof → 23 languages: Arabic, Hindi, Japanese, you name it → Built-in MCP server so Claude Code, Cursor, and Cline can speak back to you in a voice you cloned → Local LLM rewrites your voice in-character before TTS → Pedalboard effects (reverb, pitch shift, chorus) baked in It's built on Tauri (Rust), not Electron. Runs on MLX for Apple Silicon, CUDA, ROCm, Intel Arc, DirectML, and CPU. ElevenLabs Creator is $99/month. WisprFlow Pro is $15/month. Voicebox is $0. 23.4K stars on GitHub. MIT license.

Anthropic a publié une Formation complet de 2 HEURES sur la construction d'agents Claude. Animé par l'ingénieur qui construit Claude Code. Gardez-la précieusement en Signet🔖 de A à Z : Structurer un agent qui se gère sans supervision. Lui donner accès au terminal pour exécuter, lire, corriger. Gérer sa mémoire via le système de fichiers. Bloquer les hallucinations avec des Hooks. Faire tourner un agent sur un gros codebase sans tout casser. À la fin : vous utilisez Claude comme un pro et vous monétisez vos compétences. Débutant ou avancé, tout est là en un seul endroit, ce cours couvre tout. Ça vaut plus que tous les cours à 500$ que t’as failli acheter.

Damn，Garry Tan刚放出来的这个东西,直接把个人AI的天花板捅破了🤯 这意味着所有AI Agent一直以来都有的致命缺陷,现在终于被解决了。 Garry Tan昨天发布的GBrain,不是又一个RAG玩具，我们可以认为它是一个完整的个人知识操作系统。 给你的OpenClaw 或者Hermes 或者Claude Code装上它,就能一直记得你的人际关系,你的决策轨迹,你的长期认知演化。 大多数人以为RAG只有4层， GBrain直接把它干到了8层， 前4层是基础检索的全面升级， 真正的杀手级差异在后面4层， 相当于把个人AI从每次对话从零开始,升级成终身记忆加自我进化。 Garry自己的生产环境已经跑了17888页,4383人,723家公司。 而且现在就能用: 1. 把安装链接直接丢给你的Agent，它会自动搞定一切。 2. 命令行版按GitHub上的步骤走,30分钟搞定。 3. 永远先改Markdown再同步,这是最高优先级数据源。 #GBrain #AI代理 #个人AI

Akash ML is now processing about 50 billion tokens a month on Openrouter 👉 openrouter.ai/provider/akash… $AKT