Tannhäuser Gate

[Brace @BraceSproul]

🎉 Agent Builder is now Fleet!

With this rebrand, we're also releasing lots of exciting new features:
- Dedicated Slack bots for your agents, so each agent can have its own Slack user
- "Claws" and "Assistants" Agent Identity concepts, that allow for better sharing of your agents across your team
- Many more smaller QOL improvements

Try it out today: https://t.co/7elhhadVlX

[Andrej Karpathy @karpathy]

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".

To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.

That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.

This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.

TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

[Tannhäuser Gate @chalomeon]

@OfficialLoganK @GoogleAIStudio let me in please

[Victor @victor_explore]

Hi guys. My brother who is in fourth year BTech is looking for a job in an AI startup.
This is his resume - https://t.co/OKaqIajYqo
Do let me know if you have an opening.

[Victor @victor_explore]

One of the best book to learn Reinforcement Learning. Link to download in comment.

[Machina @EXM7777]

i’m tired of seing fake gurus farming engagement with n8n automations they FAKE or STEAL

today i’m exposing all of them by sharing every workflow available online and the exact place you can find them



here are +3100 n8n files ready to import for FREE (bookmark this for later)

a thread 🧵

[Victor @victor_explore]

I have made AI Agent to automate almost all daily mundane tasks. Link to download them for free in comment

[Victor @victor_explore]

Complete AI Agents course for absolute beginners (9 hours). Link in comment 👇

[Victor @victor_explore]

Google's official guide for building AI Agents (link in comment)

[Victor @victor_explore]

Free course on building AI Agents with long term memory from LangChain (link in comment)

[Tannhäuser Gate @chalomeon]

@flowith can't wait to try try it

[Flowith @flowith]

agent neo can now power up with your knowledge.

upload thousands of docs to give it your memories. import from the flowith knowledge marketplace. literally your digital twin, with your complete cognition.

all free pro users now get 10m knowledge base storage (enough for ~10k articles)

rt & comment to win - first 100 users get exclusive access codes 🔑

no subscription.infinite. all yours. free.

[Taranjeet @taranjeetio]

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by @mem0ai

Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends.

OpenMemory MCP solves this.

Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately.

Key capabilities:

���Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more
✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories)
✅Stores data on your machine, fully private
✅Offers a centralized dashboard for visibility and control
✅Simple Docker-based setup with no vendor lock-in

If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control.

We’ve put together a short demo to show how it works

Check it out in the links below 👇

[Tannhäuser Gate @chalomeon]

@KamilStanuch @ukituki Test

[Tannhäuser Gate @chalomeon]

@floraai CEEJ

[Georgi Gerganov @ggerganov]

Today I was sent the following cool demo:

Two AI agents on a phone call realize they’re both AI and switch to a superior audio signal ggwave

[DeepSeek @deepseek_ai]

🚀 Day 0: Warming up for #OpenSourceWeek!

We're a tiny team @deepseek_ai exploring AGI. Starting next week, we'll be open-sourcing 5 repos, sharing our small but sincere progress with full transparency.

These humble building blocks in our online service have been documented, deployed and battle-tested in production.

As part of the open-source community, we believe that every line shared becomes collective momentum that accelerates the journey.

Daily unlocks are coming soon. No ivory towers - just pure garage-energy and community-driven innovation.

[Tannhäuser Gate @chalomeon]

@Rainmaker1973 and no central heating

[Andrew Ng @AndrewYNg]

Introducing Agentic Object Detection!

Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Watch the video for details.

[vittorio @IterIntellectus]

spinal implants are making people walk again

in the first clinical trial of this kind, three people with spinal muscular atrophy regained muscular strength and started working again.
all thanks to electric stimulation of the spinal cord

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