Deep Agents deploy gets you: – Deep Agents harness
– Sandbox of your choice (
@daytonaio , @modal , @RunloopDev )
– Short and long term memory
– Agents exposed via MCP and A2A Production ready and open standards
LLMS
-
Deep Agents Deploy: Production-Ready AI Agents with Memory
By
–
-
Anthropic Mythos announcement critique: Sandboxing disabled limitations
By
–
Yesterday’s Mythos announcement from Anthropic was overblown. • Sandboxing was turned off, so test didn’t show much about the real world. • Cheap open-weight models can (already) do some similar stuff • No evidence that Mythos itself is a major qualitative jump. In short,
-
Anthropic’s Daily Marketing Strategy with Claude Cowork Launch
By
–
Anthropic is really using this as a marketing strategy to keep the conversation going every single day, with a daily update. I'd be happy if they continued like this! Claude (@claudeai) Claude Cowork is now generally available to all paid plans. For Enterprise, we are adding role-based access controls, group spend limits, usage analytics, and expanded OpenTelemetry to give admins what they need to deploy it across the org. — https://nitter.net/claudeai/status/2042273755485888810#m
→ View original post on X — @kimmonismus, 2026-04-09 16:38 UTC
-
Engramme’s Large Memory Models augment human memory with perfect recall
By
–
Huge: Engramme is building what they call "Large Memory Models" – designed to connect to your entire digital life and surface relevant context automatically.
— Chubby♨️ (@kimmonismus) 9 avril 2026
Open an email, join a call, send a message. The system recalls what you need without searching or prompting.
Founded by… https://t.co/QsNu6b3E5WHuge: Engramme is building what they call "Large Memory Models" – designed to connect to your entire digital life and surface relevant context automatically. Open an email, join a call, send a message. The system recalls what you need without searching or prompting. Founded by @gkreiman, the idea is to augment human memory rather than replace it. Your data, surfaced at the right moment. Gabriel Kreiman (@gkreiman) Imagine a future where you can REMEMBER EVERYTHING. Every email, every person, every conversation. Introducing Engramme. Our vision is to endow humans with perfect and infinite memory. All your memories come to you. No more searching or prompting. engramme.com 🧠 — https://nitter.net/gkreiman/status/2042271382265053537#m
→ View original post on X — @kimmonismus, 2026-04-09 16:27 UTC
-
Open Weight Model Ranks First in Cybersecurity Benchmarks
By
–
Do you understand what this means? For the first time, an Open Weight models is #1 on CyberSecutity. Sure there’s Mythos but we don’t have it :p Don’t let them trick you
-
Gemini transforms questions into interactive customizable visualizations
By
–
Gemini can now transform your questions and complex concepts into customizable interactive visualizations directly in your chat. Adjust variables, rotate 3D models, and explore data for a more immersive way to learn and explore in Gemini.
→ View original post on X — @haroldsinnott, 2026-04-09 16:04 UTC
-
Local Model Performance Comparison: GPT-OSS, Gemma4, Qwen
By
–
hey Andrew, are you running a local model? If so, what one, and at what size? and what was the performance like? i've been a dissappointed with gpt-oss-120B and Gemma4-31B, so i was thinking about trying a larger one like Qwen-235B
-
AI agent autonomously probes its own multi-GPU setup and stats
By
–
running Qwen3.5 397B MoE (17B active/token)
— Ahmad (@TheAhmadOsman) 9 avril 2026
on 4x DGX Sparks in FP8 (~400GB)
> OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats
local AI is awesome https://t.co/KU9u30GgXk pic.twitter.com/yPWSbSKto8running Qwen3.5 397B MoE (17B active/token) on 4x DGX Sparks in FP8 (~400GB) > OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats local AI is awesome -
LangChain Launches Deep Agents, Open Source Alternative to Claude
By
–
Read the full blog here: blog.langchain.com/deep-agents-deploy-an-open-alternative-to-claude-managed-agents/ Documentation: docs.langchain.com/oss/python/deepagents/deploy [Translated from EN to English]
→ View original post on X — @langchain, 2026-04-09 15:49 UTC
-
Scobleizer frustrated by low engagement with his AI news platform
By
–
3,400 likes and only one guy told him about my lists: nitter.net/scobleizer/lists And no one suggested he watch my AI on X News site: alignednews.com/ai Sigh. Igor (@igormomentum) Here are some best accounts to follow for original content on AI, engineering and design: @karpathy — on llms @thdx — opencode creator @rauchg — vercel ceo @mitchellh — ghostty, ex-hashicorp founder @dhh — ruby on rails creator, 37signals/basecamp cto @addyosmani — google cloud ai lead @zeeg — sentry founder @jarredsumner — bun founder @BHolmesDev — astro/dev educator @boristane — led cf workers observability @karrisaarinen — linear founder @kepano — obsidian founder @trq212 — claude code updates @bcherny — claude code creator @lennysan — product management / interviews @jasonfried — 37signals/basecamp ceo @leerob — OG educator devrel (cursor, next.js) @ctatedev — vercel labs @Shpigford — serial maker/founder Design engineering: @shadcn — shadcn creator @emilkowalski — emilkowal .ski @joshpuckett — interfacecraft .dev @jakubkrehel — jakub .kr @raphaelsalaja — userinterface .wiki @nandafyi — design @ cloudflare @benjitaylor — design @ twitter, agentation @mengto — founder aura build, educator @jayneildalal — designer interviews @jh3yy — design eng breakdowns Engineering media and news: @GergelyOrosz — youtube/pragmaticengineer @theo — youtube/t3dotgg @ThePrimeagen — youtube/ThePrimeTimeagen @Rasmic — youtube/rasmic @atmoio — youtube/atmoio DB people: @jamwt — convex CEO @jamesacowling — convex CTO @glcst — turso CEO @samlambert — planetscale CEO — Who else would you add to this list? — https://nitter.net/igormomentum/status/2041963744503480422#m
→ View original post on X — @scobleizer, 2026-04-09 15:47 UTC