This Open-Source Tool Makes LLMs Dangerous

0:00This tool is so dangerously good that my

0:03X account got suspended once I posted

0:06about it. It sounds ridiculous until you

0:09understand what the tool actually does.

0:12Because right now, your AI can write

0:15code, build entire websites, and help

0:18you think through almost anything. But

0:20the second you ask it to go look at what

0:23people are saying right now on X,

0:25Reddit, TikTok, GitHub, or niche

0:28communities, it either cannot access it,

0:31gives you something outdated, or

0:33confidently pretends it searched when it

0:35did not. This is a massive problem

0:38because the most valuable information on

0:40the internet is usually not sitting in a

0:43clean blog post from 2006. It is buried

0:47deep inside Reddit threads, in X posts,

0:50or in GitHub. The most valuable

0:52information is in weird niche

0:54communities where people are

0:56complaining, testing, sharing workflows,

0:59and exposing what is actually working

1:01right now. And this free open-source

1:04tool is designed to give your AI agent

1:07access to that part of the internet. It

1:10is called Agent Reach. It has over

1:1361,000 GitHub stars. It works with

1:16agents like Hermes, Claude Code, Cursor,

1:20Open Claw, and any LLM you can think of.

1:23And its promise is simple. Give your AI

1:26agent eyes to see the internet it

1:29normally cannot see. So in this video,

1:32I'm going to show you what Agent Reach

1:35is, why normal LLMs are still blind to a

1:38lot of the internet, how I would connect

1:41these to Hermes or Claude Code, and

1:43three real workflows this unlocks for

1:46creators, builders, and operators. And I

1:49will also show you why you need to be

1:52careful with tools like this because

1:54anything powerful enough to unlock the

1:56entire internet for your agent is also

1:59powerful enough to get you in a lot of

2:01trouble if you use it like an idiot.

2:03Let's get started. The weirdest thing

2:05about modern AI is that it feels like it

2:07knows everything, but it still struggles

2:10to look at what is happening right now.

2:13If I ask a chatbot to explain a broad

2:16concept, it can do that. If it I ask it

2:19to write code, it can do that. If I ask

2:22it to help me plan a video, it can do

2:24that, but if I ask it a question like

2:27what are people saying about this new AI

2:29tool on X this week, it will give me a

2:32BS answer confidently. So, I'm in August

2:352026,

2:37and it was currently saying like

2:39searching X for July 2026. I've no idea,

2:43but there you go. And it just said I

2:45can't read X directly. My search only

2:48surfaces web pages, so I can't give you

2:51actual post-level chatter or sentiment

2:53from this week. Then, it goes on to give

2:56you a confident answer, even though it

2:58literally just said it cannot search X

3:00this week, but it just gave me "Hey,

3:02this is what the sentiment is." Anyways,

3:04some models do not have access to the

3:07internet. Some platforms block scraping.

3:10Some APIs are way too expensive. Some

3:13sites require login. Some sources change

3:16too fast, and some AI tools just

3:18hallucinate and act like they searched

3:21when they didn't. That is the trap. The

3:23internet that matters for real decisions

3:25is messy. It's social, fresh, it's

3:29fragmented. The model might be smart,

3:31but if it cannot reach the source, it's

3:34still guessing, no matter how smart it

3:36is. And that matters if you're

3:38researching a product. It matters if

3:40you're making videos. It matters if

3:43you're making investment decisions. And

3:45it matters if you're trying to

3:46understand why users are angry. And it

3:50It matters if you're using an agent like

3:52Hermes or Claude code or Codex to run

3:56actual workflows because the quality of

3:58the agent depends on the quality of the

4:01information it can reach. A blind agent

4:04can still be useful, but an agent that

4:07can see the live internet becomes a

4:09completely different thing. Agent reach

4:12is a free open source project that gives

4:15AI agents access to the internet sources

4:18they normally struggle with. It's GitHub

4:20district description says it directly.

4:23Give your AI one click access to the

4:25entire internet. It supports sources

4:28like X, Reddit, GitHub, Bilibili. I I

4:32don't know what that is, but Bilibili,

4:35Xiaohongshu, RSS, web pages, and more. I

4:40hope I didn't butcher any of those

4:42pronunciations. The important part is

4:44not that it can read a web page. A lot

4:47of tools can read a web page. The

4:49important part is that it is trying to

4:50solve the annoying part of agent

4:53internet access. Different platforms

4:55have different Reddit has threads and

4:58comments. X has posts, search,

5:01timelines, and login issues. GitHub has

5:03repos, issues, pull requests,

5:05discussions. Some sources work without

5:08login. Some sources need cookies, for

5:10example. Some sources need a local

5:13browser session. Some sources need

5:15fallback routes when the first method

5:18breaks. Agent reach tries to package

5:20that into one tool layer your agent can

5:23use. So, instead of you manually opening

5:26five websites, copying links, pasting

5:29screenshots, exporting comments, and

5:31asking the model to reason about it, you

5:34can ask your agent to go get the

5:36information directly. That is the

5:38difference. It moves your AI from

5:40passive chat to active research. Now,

5:43you use Agent reach with different

5:46agents. You can use it with Claude code,

5:48cursor, Winserve, Open Claude, anything

5:51that can run command line tools. But for

5:54me, the most interesting place to use

5:57this is Hermes because Hermes is not

5:59just a coding assistant. Hermes is built

6:02to become a companion and a workforce.

6:04It has memory, skills, tools. It can run

6:07scheduled jobs. It can work from

6:09Telegram. It can improve over time. So

6:12when you give Hermes better access to

6:15the internet, you're not just making one

6:17chat session smarter, you're improving

6:20the information layer of your operating

6:22system. That means Hermes can research

6:25better video ideas. It can monitor

6:27comments. It can check GitHub issues.

6:30Before recommending a tool for example,

6:32it can read Reddit threads before giving

6:34you a product opinion. It can find what

6:37people are saying this exact week or

6:39this exact day, not 6 months ago, and it

6:42can turn that into workflows that

6:45repeat. That is the part people miss. A

6:47normal chatbot with internet access is

6:50nice. A persistent agent with internet

6:53access, memory, skills, and scheduled

6:56workflows is much more interesting. The

6:59first workflow I'm going to demo in this

7:02video is creator research. If you make

7:05content, the best ideas are usually not

7:09sitting in keyword tools alone. They're

7:12hiding in comments, complaints, tweets,

7:15Reddit posts, GitHub issues, and forum

7:17threads. So I will ask Hermes something

7:20like this. Use Agent Reach to find what

7:23people are saying this week about Hermes

7:25agent across X, Reddit, and GitHub. Pull

7:28out the biggest questions, complaints,

7:31feature requests, and video ideas, then

7:33rank them by what would make the

7:35strongest YouTube video. And it went

7:38ahead and did all of that and then gave

7:41me this following answer. Now, the good

7:44part is Hermes is not inventing ideas

7:47using stale data. It is looking at what

7:49people are actually asking. Maybe people

7:51are confused about setup. Maybe people

7:53are complaining about cost. Maybe people

7:56are asking how to connect Telegram. We

7:58don't know that. This is why this is so

8:00valuable. Those are not just comments.

8:02Those are video ideas, support docs,

8:05product insights, and lead magnet

8:08sources. This is exactly why internet

8:11matters so much. And there you go,

8:13strongest YouTube rankings. Number one,

8:15I ran Hermes from my phone on a tiny AI

8:18box {slash} $5 VPS. Why it wins? It has

8:21best creator packaging, and the proof is

8:23X post with the strongest organic angle.

8:26We're about Hermes on a tiny Nvidia

8:29hardware, cheap VPS, Telegram, and phone

8:32control. Idea number two, first five

8:34things to set up in Hermes agent. I love

8:36these. These are video ideas I would

8:39actually film. And I'm I might film this

8:41one. Proof X had direct onboarding

8:44confusion, plus GitHub is full of

8:46install provider, desktop, and gateway

8:49setup pain. So, it's collected info from

8:52X and from GitHub complaints as well.

8:55Video number three, number four, number

8:57five, number six. So many great ideas

9:00that came from this, along with the

9:02biggest complaints this week, biggest

9:04feature request, and Hermes's

9:06recommendation. The value is not the raw

9:08data. The value is Hermes turning messy

9:12public signal into a clean operator

9:15brief. The second demo I'm going to show

9:17you is tool research. This is where I

9:20would use Agent Reach before trusting

9:23any new AI tool, because AI Twitter is

9:26full of hype. Every tool says it is

9:28insane. Every model says it changes

9:31everything. Every repo says it's the

9:33future, but the truth is usually in a

9:36little more boring. It's in GitHub

9:39issues, Reddit threads, X replies,

9:41people complaining that install does not

9:44work, people saying the docs are

9:46outdated, people saying the demo's fake.

9:48So, I will ask Hermes this: Use Agent 3

9:53H to research Agent 3 H itself. Check

9:56the readme, GitHub issues, recent X

9:58posts, and Reddit mentions. Tell me what

10:00is real, what is overhyped, and what

10:03might break, and whether I should

10:05actually use it. This is the research I

10:07want before I make a video, before I

10:09install a tool, or recommend something

10:12to people, not just summarize the

10:13website. I want Hermes to act like an

10:15analyst. What works? What breaks? What

10:17are the users saying? What does the repo

10:19claim? What does the community confirm?

10:22And what should I or someone else be

10:24careful with? That is the difference

10:26between AI actually researching and AI

10:28being able to guess. And over here, we

10:31can see the re- the repo is real. It's a

10:33real CLI. It has real value. What's

10:37overhyped? "Entire internet" is a bit of

10:40a stretch because you do need, as we're

10:42going to see here later, Reddit signal.

10:45I couldn't verify meaningful Reddit

10:47mentions because Reddit blocked

10:48anonymous search access. That itself

10:51supports Agent Reach's claim. Reddit is

10:54not realistically zero configuration

10:57anymore. If someone says Agent Reach

10:59does Reddit, read that as does Reddit

11:01after logged-in session. So, for things

11:04like Reddit, you do need to log in. For

11:06things like X, you do need cookies and

11:09also to be logged in, which is where

11:12what's overhyped about it and what might

11:15break is you would need to set up

11:18safely, or just to be safe, a dummy

11:21account, a burner account on Reddit and

11:24on X so that you can log into your local

11:27machine or to whatever you're using

11:29Agent Reach with. I would recommend you

11:32do that so that your main account, in

11:34case you get flagged and suspended, does

11:37not get suspended. Your burner account

11:39ends up doing so. Now, my X got

11:42suspended, luckily for me, not because I

11:44used Agent Reach on it, but because I

11:47literally posted about Agent Reach on X.

11:50I know, very smart business decision for

11:52me to do, but it is what it is. That is

11:54how threatening this tool is to

11:57companies like that. The third workflow

12:01I'm going to show you is business

12:02research. This is where tools like this

12:04get really interesting. If Hermes can

12:07see live internet discussions, it can

12:09start finding demand before it shows up

12:12in polished reports. For example, I

12:15could ask it the following. Use Agent

12:17Reach to find current discussion around

12:20AI agents replacing browser research.

12:22Pull examples from X, Reddit, GitHub,

12:25and niche communities, then give me five

12:28product or service ideas this trend

12:30unlocks with evidence for each one. Now,

12:33Hermes is not just giving me random

12:35business ideas, it's looking for pain in

12:38the wild. People asking the same

12:40question again and again, people

12:41complaining that tools do not connect,

12:44people wanting agents to monitor things

12:46for them, people needing agent research

12:49across platforms. That kind of research

12:51can turn into videos, it can turn into

12:54product ideas, could turn into services,

12:57into outreach. It can turn into a real

13:00operating advantage. Because when

13:02everyone else is asking a chatbot to

13:05brainstorm, your agent is reading the

13:07internet and finding actual demand. That

13:09being said, this is what it gave us, the

13:11trend. People are not just talking about

13:13AI research, the discussion has moved to

13:16agents doing browser work end-to-end.

13:18They're researching, clicking,

13:19comparing, filling forms, testing

13:21websites, reading private local context,

13:24and handing back the result. The

13:25strongest signal is not one viral post,

13:28it is the same pattern showing up across

13:30builders, open source repos, Reddit

13:33workflows, HN skepticism. Evidence scan,

13:36then it gives us the X examples, the

13:38Reddit examples, GitHub examples, niche

13:41communities, and the five top product

13:43ideas from this that this unlocks, which

13:46are number one managed research worker

13:49for operators, number two browser agent

13:51QA and safety layer, number three

13:53personal procurement and deal management

13:56or deal agent, sorry. It seems to be

13:58repeating it over here. Number four,

14:01agent ready web op service for

14:03companies, and number five, community

14:05intelligence agent for founders and

14:07creators. Now, this is the part where I

14:10have to slow down a little because a

14:12tool like this is powerful, but it is

14:15not magic, and it is not risk-free, as

14:18we've seen. If you connect agents to

14:21social platforms, use cookies, real

14:24logged-in services, or automate research

14:26too aggressively, you can run into

14:28platform limits, account restrictions,

14:31or privacy problems. I learned that the

14:33hard way when I shared this tool on X

14:35and my account got suspended. So, I

14:38would not use this like a spam machine.

14:41I would not use this to blast platforms.

14:44I would not connect accounts blindly. I

14:46would not give an agent permission to

14:48post, message, or take external actions

14:51without approval. The safe way to start

14:54is read only. Use it for research, use

14:57it for summaries, use it for monitoring,

14:59use it for finding patterns, use it to

15:02understand what people are saying. Then,

15:05if you ever move into actions, make sure

15:07Hermes asks for approval first. That is

15:10an important rule. Internet access makes

15:12your agent more useful, but judgment

15:15makes it safe. Just realize that it is

15:17crazy that I got banned for sharing a

15:20tool someone else created while the

15:22creator himself did not. What the hell?

15:25I'll continue my beef with X on X. But

15:28then the creator didn't.

15:29>> [laughter]

15:29>> The bigger point is that the next step

15:31for AI agents is not only better models.

15:34Better models matter, but access

15:37matters, too. If your agent cannot see

15:40the sources where the real information

15:42lives, it will always be limited. It

15:44might sound smart. It might write

15:47beautifully. It might even reason well.

15:50But if the information is stale,

15:52blocked, or missing, the output will

15:55always still be weak. That is why tools

15:57like Agent 3 are important. They move

16:00agents closer to the real internet. And

16:03when you combine that with something

16:05like Hermes, where the agent has memory,

16:07skills, tools, schedule, and a place in

16:10your actual workflow, it stops feeling

16:13like a chatbot. Starts feeling like a

16:15real research operator. So, yes, this is

16:20a free, open-source tool that can give

16:22your LLM internet access. But the better

16:25way to think about it is this. Your

16:28model is the brain. Your agent is the

16:31operator. And tools like Agent 3 are the

16:34eyes. If you only have the brain, you

16:36get smart answers. If you add the eyes,

16:40you get current answers. And if you

16:42connect that to an agent like Hermes,

16:45you can start building workflows that

16:47actually watch the internet for you. If

16:49you want to try it, I will leave the

16:51Agent 3 repo in the description. Start

16:54read-only. Test it carefully. Do not

16:57connect anything sensitive until you

16:59understand what it is doing. And if you

17:02build something useful with it, comment

17:04below, because I want to see what people

17:06are making with agents that finally see

17:09the internet. Or comment below free

17:11Charbelle from X jail. Or justice for

17:14Charbelle, so that X sees this scrutiny

17:18and this absolute wild thing that has

17:21happened. Anyway, if you enjoyed this

17:23video, make sure to leave a like. And if

17:26you're new to my channel, then subscribe

17:28because I have a ton more content like

17:30this coming your way where I try my best

17:33to give you as much value as I humanly

17:36can at the risk of getting suspended

17:38from entire social networks. And oh,

17:41would you look at that? The algorithm

17:43gods just told me that you're likely to

17:45enjoy this video next. So, click it.

17:48I'll see you there. Maybe.