Now turn messy documents into structured knowledge with one command.
It's called Hyper-Extract.
Most RAG tools just chunk your PDFs and hope search works.
Hyper-Extract does something much crazier:
It turns unstructured text into:
• Knowledge graphs
• Hypergraphs
• Temporal graphs
• Spatial graphs
• Spatio-temporal graphs
• Strongly typed data models
• Obsidian vaults
• MCP-ready knowledge bases
So instead of asking an AI to “read this report,” you can turn the report into an actual knowledge system.
Use cases:
→ Turn papers into research graphs
→ Extract companies, people, metrics, and risks from earnings reports
→ Build searchable knowledge bases from private docs
→ Run it locally with vLLM so your data stays on your machine
→ Query the extracted knowledge from Claude Desktop or IDE agents through MCP
It also comes with 80+ YAML templates across finance, legal, medical, industry, and general domains.
This is not just document extraction.
This is what RAG looks like when it grows a spine.
Repo: https://t.co/nXW6QxkLwy
ACABAN DE DARLE MEMORIA INFINITA A CLAUDE, CODEX Y CURSOR
100% GRATIS y open source
Se llama Memanto y ya tiene +1k estrellas en GitHub
Antes en cada sesion nueva tu agente olvidaba todo
Tenias que explicarle de nuevo el proyecto, las decisiones, los errores
Memanto lo resuelve de raiz
→ Guarda el contexto completo de tus sesiones de trabajo
→ Organiza y comprime la informacion utilizando IA
→ Recupera lo relevante en menos de 90ms
→ Funciona con claude code, cursor, codex, LangGraph, CrewAI y mas
Sin bases de datos vectoriales
Sin configuracion compleja
Solo un comando: pip install memanto
Tu agente ya recuerda donde lo dejaste
No mas perder tiempo explicando lo mismo cada dia
🤖 Ready to get started with Agentic Development in @code?
We've put together 3 free courses covering everything from building your first AI agent to customizing and extending agent workflows.
A quick breakdown 🧵👇
¿Cómo evitar que tu IA suba basura a GitHub?
El repo "git push no-mistakes" tiene una solución.
Valida tu rama con IA y ejecuta tests, lint, docs y CI. Sin bloquear nada, usando un worktree en local.
Si todo pasa, abre una PR limpia:
https://t.co/5b6lLv8LJv
No seas el último en enterarte de que tu API, servidor o web se ha caído. Este recurso tiene capa gratuita y...
✓ Monitorización 24/7
✓ Alerta por email, SMS, Slack...
✓ Historial de caídas y tiempos de respuesta
→ https://t.co/ysQz8oRME2
He estado probando Kimi k2.7 con su harness kimi-code, del que ya les contaré más, pero lo que más me gusta es esa característica llamada 'swarm', que permite lanzar varios agentes en paralelo, y que en su CLI simplemente se ve hermoso
Automation helps you and your team eliminate repetitive work and focus on creative or strategic tasks.
And there are various tools that help you automate things more effectively.
In this beginner-friendly guide, @manishmshiva teaches you how build and use your own automation workflows using open source n8n.
https://t.co/sna7D7TCVW
No uses Ollama si quieres usar IA local con buen rendimiento. No exprime tu GPU al máximo.
Mejor usa vLLM:
✓ Mejor eficiencia
✓ Más rendimiento al servir modelos
✓ En mis pruebas, hasta 2 veces más rápido
→ https://t.co/eYXA5IBlFf
Choosing a headless CMS isn't just a technical decision.
Pure headless gives you maximum flexibility, while hybrid adds visual editing, previews, workflows, and governance.
In this article, @manishmshiva advises enterprises how to choose the right CMS architecture for content teams, developers, compliance, localization, and scale.
https://t.co/Dwnpqs7Z1S
Según el propio OpenAI su nuevo modelo GPT-5.5 Cyber está al nivel de Mythos. Será mi percepción pero en un punto estos benchmarks se volvieron cada vez menos confiables
Astro es lo MEJOR que le ha pasado al desarrollo web en mucho tiempo. ¡Y acaba de salir la versión 7.0!
✓ Vite 8 con Rolldown
✓ Nuevo compilador en Rust
✓ Builds hasta un 61% más rápidos
✓ Mejoras para agentes de IA
> pnpm create astro
If you want to improve your C++ skills, here's a course for you.
You'll code in C++ and use the powerful open-source JUCE framework to build an audio plugin.
You'll also gain a solid understanding of digital signal processing concepts, learn how to create a responsive GUI for your plugin, and more.
https://t.co/4Z31guS2ON
Doesn't matter if you run Claude Code, Codex, or OpenCode.
These 6 CLIs are the ones I install on EVERY machine.
They turn your AI agent from a code generator into something that actually ships.
🎭 Playwright CLI — your agent tests the browser itself. No more "looks good to me." It actually clicks through the flow.
→ https://t.co/UjfeS2rfzO…
🐙 GitHub CLI — open PRs, review, merge. Your agent never touches the web UI.
→ https://t.co/23Lkhypfo1
☁️ cloudflared — expose localhost to the world with one prompt. Demo links in seconds.
→ https://t.co/5GNDm3040v…
🚀 Your cloud's CLI — every cloud ships one so your agent can deploy on its own:
• Railway → https://t.co/Pm9NALSyhE
• Vercel → https://t.co/5DJGfTxRr6
• AWS → https://t.co/ufG1KW4U9x
• Azure → https://t.co/hkmd3kW6XI
• Google Cloud → https://t.co/Mu3j0fdJq4
📚 Context7 — feeds your LLM up-to-date docs so it stops hallucinating APIs from 2023.
→ https://t.co/xKg3bWwV4p
The pattern here:
Give your agent the same tools a senior dev uses, and it stops asking permission for every step.
What's in your stack?
AI image generation doesn't have to depend on cloud APIs, rate limits, or subscriptions.
In this guide, @djibril_mg teaches you how to build an offline image generator with Node.js, https://t.co/YZWZxCsDDN, and QVAC.
You'll load a quantized Stable Diffusion model, stream generation progress, handle GPU limits, and return images as base64 data URLs.
https://t.co/Wo8PwijiXM