Roby

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Roby

Roby

@RobyDread

Santiago, Chile Beigetreten Mayıs 2018
119 Folgt118 Follower
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Roby
Roby@RobyDread·
recordatorio para mi mismo 😆 yay -S swaync cliphist wl-clipboard wl-clip-persist hyprshot --needed
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James Long
James Long@jlongster·
OpenCode is about to get more powerful with remote sandboxes I showed a brief demo before, but here's a much more in-depth demo. it's not hard to add basic support for a remote env, but handling all the edge cases like when a remote env gets deleted is difficult. especially if care about good UX You never want to lose session data. so the choices are: run the session in your env, but run all tool calls remotely. that's too complex and painful. The other way is to just let the full session run remotely, but sync back all the session data in your env. We chose this path: we built a syncing system which logs all events in a way that we can always recreate your entire session. That means the remote env could get destroyed, but we can easily restore it. it also opens up other interesting ideas which we'll be exploring
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Hasan Toor
Hasan Toor@hasantoxr·
🚨 BREAKING: CHINA just released a Python framework for building AI agents. 100% OPEN SOURCE. It has visual agent design, MCP tools, memory, RAG, and reasoning. All built in. All working together. It's called AgentScope. You describe your agent system. It builds the architecture, wires the tools, and runs the whole thing. You come back and there's a working multi-agent pipeline. Not a prototype. Not a demo. The actual system. Not a wrapper. Not a chatbot builder. A full Agent-Oriented Programming framework that thinks in agents from the ground up. Here's what it does out of the box: → Visual agent builder so you design your entire system before writing a single line of code → Native MCP tool support, plug any external tool directly into any agent in your pipeline → Built-in memory so every agent remembers context, decisions, and history across sessions → RAG pipeline ready to connect your own documents, databases, and knowledge bases → Reasoning modules that let agents plan, reflect, and self-correct without human input → Multi-agent coordination so your agents collaborate as a system, not a pile of isolated API calls Here's how it thinks: You define your goal. AgentScope maps the agent roles. Each agent gets its tools, its memory, its reasoning layer. They coordinate. Results flow back up. You get a finished output. A single complex task might route through a planner agent, a researcher agent, a coder agent, and a critic agent, each doing its job, then converge into one clean deliverable. Here's the wildest part: AgentScope is built by Alibaba DAMO Academy. The same lab behind Qwen. They didn't assemble this from existing pieces. They designed the entire framework from first principles around how agents actually need to think, remember, and work together. Most frameworks give you building blocks. AgentScope gives you an architecture. The community has already started plugging it into data pipelines, research workflows, and full automation systems the team never planned for. 100% Open Source. Apache 2.0 License.
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Soy Dalto
Soy Dalto@SoyDalto·
Con el Auge de la IA, este curso te va a venir 10/10. Es un curso 100% gratis, del lenguaje mas importante para la IA. Está disponible en YouTube y si estas leyendo esto, tenes que arrancar ahora, ya. salí de twitter y empezá. Link: youtu.be/nKPbfIU442g
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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨Qwen dropped the open-source Claude Code killer. It's called Qwen3-Coder-Next and it's genuinely wild. Only 3B active parameters but beats models with 10x-20x MORE parameters on SWE-Bench-Pro. PLUS: They launched Qwen Code CLI, the best open-source alternative to Claude Code. 1,000 free requests/day. This is the model that proves size is a lie Here's everything you need to know
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Hasan
Hasan@Ubermenscchh·
🚨BREAKING: You can now run Claude Code for FREE. No API costs. No rate limits. 100% local on your machine. Here's how to run Claude Code locally (100% free & fully private):
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Riae
Riae@riae_official·
it was cold in the airplane bathroom ✈️
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Riae
Riae@riae_official·
🚑🚑🚑🚑
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Erick
Erick@ErickSky·
🚨 ¡BOMBA EN LA IA LOCAL! @Entropic_AI acaba de hacer OPEN SOURCE todo el código de Entropic: el primer workspace de IA seguro, local y de 1 clic para tu máquina principal. Esto es HISTÓRICO porque: ✅ Corre @openclaw de forma aislada y segura. ✅ Local-first: tus datos y herramientas NUNCA salen de tu PC. ✅ Security-first: contenedores blindados + escáner de skills maliciosos. ✅ Instalación en 1 clic (Mac & Linux ya, Windows pronto). ✅ 100% extensible: crea, modifica y lleva tu agente a otro nivel. Olvídate de la nube, de los riesgos de privacidad y de los setup eternos. Tu máquina. Tus datos. Tu control total. REPOOO👇
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Dark Web Informer
Dark Web Informer@DarkWebInformer·
FBI Watchdog 3.0.0: A multi-layered domain monitoring tool that detects law enforcement seizures, DNS changes, HTTP fingerprint shifts, WHOIS record mutations, and IP address changes across clearnet domains and Tor onion sites. github.com/DarkWebInforme…
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Fazt
Fazt@FaztTech·
Llevo días usando VS Code con la extensión de Claude Code + skills + MCP y honestamente… no he necesitado pagar GitHub Copilot, ni Cursor, ni ningún otra herramienta ni editor IA. Y lo mejor de esto es que puedo volver a ver extensiones que no existen en otros editores forks de vscode como: Dev Containers, Live Share, y otras extensiones de Microsoft que olvide lo bueno que eran… Extrañaba VS Code sin saberlo.
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Hasan Toor
Hasan Toor@hasantoxr·
LangChain just open-sourced a replica of Claude Code. It’s an MIT-licensed framework that recreates the core workflow behind coding agents like Claude Code but in an open system developers can inspect and modify. It is called Deep Agents. I spent a bit of time looking through the repo and it’s actually a pretty helpful reference if you’re trying to understand how these coding agents are structured. Here's what's inside: → Planning tools for breaking down tasks → File system access for reading, writing, and editing code → Shell command execution with sandboxing → Sub-agents for handling complex work in parallel → Auto-summarization when context gets too long Another useful aspect is that it’s model-agnostic, so you can plug in different LLMs and experiment with building your own coding agents on top of the same structure. If you’re exploring agent frameworks or just curious how tools like Claude Code work under the hood, this is a pretty good repo to bookmark. Link in the comments.
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桜谷シュウ 『ニワトリ・ファイター』 Rooster Fighter 第12巻 4月3日発売!!
¡Queridos amigos de Latinoamérica!¡Por fin, mañana empieza el anime de Rooster Fighter!Realmente les estoy muy agradecido de corazón a todos ustedes. Porque fueron ustedes quienes descubrieron el manga japonés Rooster Fighter, lo apoyaron con todo y lo hicieron tan grande, ¡gracias a eso se hizo realidad la adaptación al anime! Todo esto es gracias a la increíble gente de Latinoamérica.¡Ojalá lo vean mañana y lo disfruten muchísimo!Por cierto, este texto lo escribí con la ayuda de Grok (un traductor IA), así que puede que haya alguna parte un poco rara o no perfecta… pero de verdad quería transmitirles mi gratitud de corazón.¡Muchas gracias de todo corazón! 🥰🐓🌟
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Nicolas Krassas
Nicolas Krassas@Dinosn·
I built an open-source library of 700+ cybersecurity skills for AI coding agents -- covers DFIR, threat hunting, cloud security, and more github.com/mukul975/Anthr…
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Riae
Riae@riae_official·
🙈
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Official Motörhead
Official Motörhead@myMotorhead·
We cannot believe we’re saying this… with profound sadness we share that Philip Anthony Campbell has passed. Motörhead’s guitarist for 31 years, Phil later formed @PCATBS with his sons Todd, Dane, and Tyla. A brilliant guitarist with a huge heart and unstoppable humor. RIP Phil.
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