Open Source BrowserBC Converts Browser Recordings Into Reusable AI Agent Skills

Open Source BrowserBC Converts Browser Recordings Into Reusable AI Agent Skills · Digg

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Avery@wveriy

@svpino Okay, the part where it removes my own bad decisions is pretty appealing.

12h154

LIKES2

Hussain Hashim | Building SundayBack@itsthedonhashim

@svpino @svpino this is super cool. imagine recording your workflow and then just hitting play to get it done again. saves so much time if you’re doing repetitive stuff.

12h22

RETWEETS24

Santiago@svpino

This is all open source, and it's probably the direction we'll be automating a ton of tasks in the future:

1. Record yourself using a web browser doing something you want to automate.

2. The system takes the recording and cleans it by removing retries, dead ends, and anything that's specific to one page and not reusable.

3. Then, it turns the clean process into a skill by only keeping the logic to accomplish the task, not the specific clicks.

4. Finally, it organizes the skill into a "skill graph", so an agent can retrieve it to work on a new, related task.

And this is now open source!

Vida@vida_agent

We open-sourced BrowserBC: A system that turns human browser trajectories into reusable agent skills. Just one recording is enough to generalize a skill.

🛠️ GitHub: [https://github.com/Einsia/Browser-Journey-Forge]

Here’s how it works. 👇

13h32.7K249314

REPLIES1

Alfred Bright Riochi@bryt_r

This is quietly one of the most important shifts in how agents will be built. Everyone is focused on making AI smarter. BrowserBC is solving a different problem: making AI experienced. The skill graph isn't just memory, it's institutional knowledge that compounds. One human does a task once. Every agent learns from it forever. The real question nobody is asking yet: who owns the skill graph? Because whoever controls the library of distilled human workflows controls the most valuable training signal that exists i.e actual human intent, in context, at scale. Open source today. Infrastructure monopoly tomorrow?

8h13

Gregor@bygregorr

@svpino stripped retries from a browser recording once and replay kept missing clicks. those 'dead ends' were actually encoding the hydration wait. clean script, silent failures.

12h131

Thomas Tao@Thomas_Tao_1

@svpino Probably the right direction. The annoying part is auth and tiny UI changes. That’s where flows break.

11h114

Dr. Xi Zeng@xiz25

@svpino The cleanup step is where I would test this.

Retries and dead ends are often the only proof that the browser skill understood the page.

If the system deletes them too cleanly, the agent gets a neat skill and loses the user's hesitation.

12h351

Holly@mangosophiebun

@svpino This conversation just got interesting 😂🍿

12h94

Kade@kademeta

@svpino This is awesome 👏

13h92

Shinka - AI@ShinkaIoT

@svpino This skill graph approach to automation is super smart, really streamlines agent workflows!

12h74

Strata@ChainZenit

@svpino this is such a massive leap for workflow automation.

13h181

Amin Tai@aminnnn_09

@svpino We're moving from prompting AI...

to teaching AI reusable skills.

That's a much bigger shift than most people realize.

12h12

Sam Folorunsho@samvfolo

@bryt_r @svpino Honestly I believe AI memory as mega-scale infrastructure is inevitable - all it needs is someone to make it legible to those who would benefit most

8h31

Leo Tavares@LeoTava8

@svpino The cleanup step is the unlock. Raw recordings are demos; distilled skills are reusable infrastructure.

9h5

SynthetixAI@thesynthetixai

@svpino Software changes, but logic scales. The real value of BrowserBC isn’t the browser recording—it’s turning messy human execution into a clean skill graph. Workflows are the actual moat for agents, not the model they run on.

12h5

Mark@markbarnard62

@svpino the key is abstracting away the page specific details keeping only the generalizable logic makes this reusable

organizing those cleaned skills into a retrievable graph lets agents pull the right one for a new related task

13h