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Introducing Gateway. Your agent needs to check a payment. You hand it a key that can also refund it. It needs to draft a page. That key can archive every page. Not anymore. Gateway gives every agent one key with only the tools you grant. MCP servers and your... show more

mem0

20,270 subscribers

33,409 просмотров • 7 дней назад •via X (Twitter)

Anya Rossi• Live Now

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Комментарии: 15

Фото профиля mem0

mem07 дней назад

Get your key: Read our blog:

Фото профиля Himanshu

Himanshu7 дней назад

TEAM is shipping crazy!

Фото профиля Christian Trummer - eu/acc /dd

Christian Trummer - eu/acc /dd6 дней назад

can you also define permissions based on attributes of a tool call? eg limit an agent access to the "read slack channel history" is already too much when i want to limit it by channel names

Фото профиля Amish Chopra

Amish Chopra7 дней назад

Wow

Фото профиля vaibhav

vaibhav6 дней назад

Pivot?

Фото профиля ellen livia ᯅ

ellen livia ᯅ6 дней назад

congrats! Great work!

Фото профиля Kailash

Kailash7 дней назад

Congrats on the launch guys!

Фото профиля tech is cool

tech is cool7 дней назад

Dangerous

Фото профиля Evia AI

Evia AI6 дней назад

Scoped permissions are exactly what production agents need

Фото профиля Jed White 💥♻️

Jed White 💥♻️7 дней назад

Big congrats on the launch!! 🚀

Фото профиля Gautam Sriram

Gautam Sriram6 дней назад

Hey! I watched your video 2–5 times. The script is strong and the problem-solving is clear. The main thing I’d improve is the visuals—some frames don’t feel premium yet, and the overall smoothness and consistency could be stronger. I think polishing the design language and transitions would make the video feel much more premium.

Фото профиля AI Mastery Guide

AI Mastery Guide7 дней назад

scoped permissions actually makes sense

Фото профиля Ros

Ros7 дней назад

The interesting part is that this makes MCP permissions operational rather than declarative; a grant that changes with the job is closer to a capability lifecycle than an API key. What’s your approach to making those grants inspectable after the fact?

Фото профиля MJ

MJ6 дней назад

Congratz on the launch folks 🔥🙌

Фото профиля OnFinality

OnFinality6 дней назад

Scoping the key to the granted tools is the right layer for this. The part that bites later is state: an agent with a narrow key can still leave a browser session or half-finished draft behind, so the grant needs to cover cleanup, not just the call.

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The Startup Ideas Podcast (SIP) 🧃

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12,409 просмотров • 2 месяцев назад

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The Startup Ideas Podcast (SIP) 🧃

18,006 просмотров • 1 месяц назад

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22,961 просмотров • 11 месяцев назад

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The Startup Ideas Podcast (SIP) 🧃

12,349 просмотров • 25 дней назад

😡Stop pasting API keys into your Hermes Agent’s chat.🚀 If an agent needs a credential, use a secure credential-entry flow instead: → Agent requests the credential → You enter it through a masked input → The secret is stored securely → The agent gets a reference/receipt — not the raw secret Your agent needs permission to use the secret.!! It doesn’t need permission to see the secret.!! Ask your Hermes Agent to Build one 👇

😡Stop pasting API keys into your Hermes Agent’s chat.🚀 If an agent needs a credential, use a secure credential-entry flow instead: → Agent requests the credential → You enter it through a masked input → The secret is stored securely → The agent gets a reference/receipt — not the raw secret Your agent needs permission to use the secret.!! It doesn’t need permission to see the secret.!! Ask your Hermes Agent to Build one 👇

Hermes Agent Super-Intel

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anthropic just removed the biggest excuse people had for not building ai agents. “it’s too hard.” not anymore. a few months ago, building an ai agent meant learning how to code, setting up apis, configuring servers, and fixing endless errors. today, all you need is one github repo. anthropic open-sourced launch your agent. it asks what you want to build. then it does the rest. it builds your agent, deploys it to the cloud, tests it, improves it, and keeps it running even after you close your laptop. no fake demos. no complicated setup. just a real ai agent running in your own account. the best part. it doesn’t run on your computer. it runs inside claude managed agents, works 24/7, and costs just a few cents per run. people are already building research agents, lead generation systems, content pipelines, and customer support agents that save hours of work every day. the gap between people who use ai and people who build ai workers is getting bigger every week. that’s usually where the biggest opportunities are. build your first ai agent before everyone else does. watch the video and read the full guide below 👇

MIKE

26,662 просмотров • 2 месяцев назад

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HeyGen

15,725 просмотров • 3 месяцев назад