Folo is the AI RSS Reader

The AI that reads the internet for you,

cutting through noise to surface the knowledge you actually care about.

Anthropic News

1.2K

Twitter @Elon Musk

32K

Twitter @Elon Musk

x.com

OpenAI News

29.9K

The OpenAI blog

openai.com

Trending repositories on GitHub today · Git…

29.6K

Trending repositories on GitHub today · GitHub

github.com

NASA Astronomy Picture of the Day

31.5K

NASA Astronomy Picture of the Day

apod.nasa.gov

Andrej Karpathy - YouTube

27.8K

Andrej Karpathy - YouTube

youtube.com

Trump's Truth - Latest Posts

27.7K

Archive of Donald Trump's TRUTH Social posts

trumpstruth.org

Last Week in AI

32.5K

Weekly text and audio summaries of the most interesting AI news, as well as editorials commenti…

lastweekin.ai

Magnum Photos

27.4K

Magnum is a community of thought, a shared human quality, a curiosity about what is going on in…

magnumphotos.com

Pavel Durov - Telegram Channel

26.7K

Founder of Telegram.

t.me

zuck (@zuck) on Threads

26.4K

zuck (@zuck) on Threads

threads.com

Bluesky (@bsky.app) — Bluesky

26.3K

official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app

bsky.app

Folo AI - Timeline Summary

Trusted by teams at

Alibaba

ByteDance

Mozilla

Tencent

Microsoft

Google

Baidu

Xiaomi

Huawei

NVIDIA

At a glance

Live production scale from Folo.

Feeds

1.3M

Entries

307.5M

Reading reimagined in the AI era

Discover

AI finds the best sources across the open web.

Try on Web

24 official sources

Browse supported websites.

Xiaohongshu

xiaohongshu.com

x.com

t.me

YouTube

youtube.com

bilibili

bilibili.com

Weibo

weibo.com

Xiaoyuzhou

xiaoyuzhoufm.com

pixiv

pixiv.net

GitHub

github.com

SSPAI

sspai.com

Jike

m.okjike.com

NASA

apod.nasa.gov

Nature

nature.com

Zhihu

zhihu.com

36Kr

36kr.com

Juejin

juejin.cn

Bluesky

bsky.app

Threads

threads.net

The New York Times

nytimes.com

Reuters

reuters.com

Bloomberg

bloomberg.com

Hugging Face

huggingface.co

Spotify

open.spotify.com

RSSHub

docs.rsshub.app

Vibe Read

Let AI read it all. Keep only the signal.

Try on Web

Anthropic

anthropic.com

Building effective agents for production teams

Anthropic Research

Agent systems guide

Updated recently

8 min read

The newest generation of agent tooling is forcing teams to think less about prompts in isolation and more about end-to-end system design.

Once a model can search, call tools, draft structured work, or trigger external actions, reliability becomes a product question rather than a model benchmark question.

What teams are optimizing for

Accuracy still matters, but operational quality is now the real differentiator: predictable tool use, bounded retries, and evaluation sets that mirror production traffic.

Many failures that look like model mistakes are really interface mistakes: vague tool descriptions, missing state, or workflows that ask one agent to do too much in a single step.

“The most dependable agent products are the ones that expose their workflow clearly enough for teams to inspect, test, and intervene.”

Operating checklist

Start with one narrow task and one or two tools.
Log every tool call, retry, and failure reason.
Add evals before widening the workflow.
Keep a human in the loop for risky actions.

Built Open

Open source, verifiable, and easy to inspect.

Code public. PRs welcome.

GitHub Stars

—

License

GPL-3.0

Repository

RSSNext/Folo

Code public. PRs welcome.