Folo 是你的 AI RSS Reader

这款 AI 为你读遍全网，

穿透噪音，只呈现你真正关心的洞见。

OpenAI News

27.7K

The OpenAI blog.

openai.com

Anthropic News

998

The GitHub Blog

24.8K

Updates, ideas, and inspiration from GitHub to help developers build and design software.

github.blog

Nature

24.5K

Read the latest research articles from Nature.

nature.com

The Verge

24.8K

Breaking news, reviews, and features about how technology changes the world.

theverge.com

NASA Astronomy Picture of the Day

29.3K

The daily image and story from the universe around us.

apod.nasa.gov

Last Week in AI

30.4K

Weekly text and audio summaries of the most important AI stories.

lastweekin.ai

Ahead of AI

27.3K

Machine learning and AI research for readers who want to stay ahead.

magazine.sebastianraschka.com

TED Talks Daily

25.8K

Thought-provoking ideas in audio, delivered every day.

ted.com

The Daily

23.6K

The biggest stories of our time, told by New York Times journalists.

nytimes.com

3Blue1Brown

24.9K

Visual explanations in math, physics, and computer science.

youtube.com

Bluesky

24.1K

The official Bluesky account and product updates.

bsky.app

Folo AI - Timeline Summary

已被这些团队采用

Alibaba

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Microsoft

Google

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Huawei

NVIDIA

已被这些研究者采用

MIT

Stanford

Oxford

Harvard

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NUS

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一眼看懂

Folo 当前生产环境的数据规模。

Feeds

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300.8M

在 AI 时代重新定义阅读

发现

AI 从海量信息中筛选最佳来源覆盖整个开放网络。

网页版试用

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

氛围阅读

让 AI 读完所有内容。只留下真正的信号。

网页版试用

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 星标

—

许可证

GPL-3.0

代码仓库

RSSNext/Folo

代码公开，欢迎 PR。

Folo 是你的 AI RSS Reader

OpenAI News

Anthropic News

The GitHub Blog

Nature

The Verge

NASA Astronomy Picture of the Day

Last Week in AI

Ahead of AI

TED Talks Daily

The Daily

3Blue1Brown

Bluesky

在 AI 时代重新定义阅读

AI 从海量信息中筛选最佳来源 覆盖整个开放网络。

让 AI 读完所有内容。 只留下真正的信号。

Building effective agents for production teams

What teams are optimizing for

Operating checklist

Open source, verifiable, and easy to inspect.

AI 从海量信息中筛选最佳来源覆盖整个开放网络。

让 AI 读完所有内容。只留下真正的信号。