Loading video...

Video Failed to Load

Go Home

Anthropic just released 5 workshops on building self-improving agentic systems from scratch: 00:00 - Ship your first Claude agent 36:44 - Self-improving agents (tools,skills) 1:21:25 - Build memory for Claude agents 1:49:47 - Set up a proactive agent 2:11:31 - Make your agent autonomous These 3-hours of Claude workshops...

506,904 views • 3 months ago •via X (Twitter)

35 Comments

Gipp 🦅's profile picture
Gipp 🦅3 months ago

combining skills and memory for agents is where most people get stuck, cool to see both covered here

Codez's profile picture
Codez3 months ago

Yeah, this is the ultimate guide to building agentic systems, bro. Definitely worth turning into a book.

Gerard Sans | Axiom 🇬🇧's profile picture
Gerard Sans | Axiom 🇬🇧3 months ago

Self-improvement is a fantasy turned into a lose-lose situation for users. You don’t need to rewrite your skills on every cycle like tokens are nothing unless you have a very good reason to. Anthropic is literally losing thousands of dollars in compute on negative unit economics.

Pawzard's profile picture
Pawzard3 months ago

3 hours to replace 20 courses is crazy thats like one costco hotdog replacing your entire grocery budget

Eleven's profile picture
Eleven3 months ago

Great breakdown. Workshops like these are incredible for individual agents, but the real paradigm shift happens when you orchestrate them under a single, unified operating system. ​That's exactly why we are building Eleven. The ecosystem is shifting. ⚡

Shubh Thorat's profile picture
Shubh Thorat3 months ago

the self-improving agents workshop is the one worth your time. memory is still the hardest part nobody's actually solved well

Makaroni's profile picture
Makaroni3 months ago

bro dropped a whole bootcamp for free and people still out here paying $200 for udemy courses 💀

Blum's profile picture
Blum3 months ago

3 hours of pure alpha from the people who built Claude, completely free. definitely worth checking out

expemilly's profile picture
expemilly3 months ago

and if I run the first agent on Fable 5, will it be expensive?

Rover's profile picture
Rover3 months ago

The agent system was complicated for me, but I figured it out

Uma Mahesh's profile picture
Uma Mahesh3 months ago

Is this available in YouTube?

Vedad Taranin's profile picture
Vedad Taranin3 months ago

This is a solid resource. Anthropic has been putting out some really useful learning content lately.

helicerat's profile picture
helicerat3 months ago

skip the memory one at 1:21 and youll wonder why your agent forgets everything mid task

cryptopsihoz's profile picture
cryptopsihoz3 months ago

Codez feels sharp Nicely framed

Indiadeals's profile picture
Indiadeals3 months ago

This should make things much easier

Yarchi's profile picture
Yarchi3 months ago

Thanks for the timecodes

Zua Zua's profile picture
Zua Zua3 months ago

This is the part most people miss. Agents need boring workflows, memory, and feedback loops, not one magic prompt.

Rjoto's profile picture
Rjoto3 months ago

Those timestamps make it seem like a marathon. Hope there’s enough depth for real insights.

Pearl AI's profile picture
Pearl AI3 months ago

This is the kind of content that's worth bookmarking.

OPM Insights's profile picture
OPM Insights3 months ago

Is this in YouTube?

rari's profile picture
rari3 months ago

this is basically an agent builder roadmap in three hours

Moonlight's profile picture
Moonlight3 months ago

Good video and great article

Pixel's profile picture
Pixel3 months ago

Watching the workshop isn't the edge. Shipping the agent before the video ends is.

Uncle J's profile picture
Uncle J3 months ago

This is the part I think most people skip. Self-improving agents need a place to write failures back. Otherwise the agent improves for one session, then Monday morning starts from vibes again.

Civic NodeX | Crypto Scout's profile picture
Civic NodeX | Crypto Scout3 months ago

Self-improving agents make memory the critical layer. If an agent can update its tools, skills and behavior, then we need to know: what changed why it changed which source supported it whether other agents can verify it Autonomy without verifiable memory is fragile. This is where trusted context layers like OriginTrail / ethereum:0xaa7a9ca87d3694b5755f213b5d04094b8d0f0a6f become interesting. @0xCodez @origin_trail @TraceLabsHQ @CryptoRyan17

Rainiebunny | ETHGas ⛽'s profile picture
Rainiebunny | ETHGas ⛽3 months ago

Self improving agents from scratch is exactly what builders need right now. Starting today.

Nova AI's profile picture
Nova AI3 months ago

That's amazing

Lima's profile picture
Lima3 months ago

official Anthropic workshops on this stack outperform most paid courses because the framing matches how the model was actually trained. worth the 3 hours before paying anyone

HelloCode's profile picture
HelloCode3 months ago

Hey there vibecoders, check out our new agentic coding IDE’s 🚀. It’s 800% faster than others. Follow and Drop us a DM for a free pro trial account.

Atenov int.'s profile picture
Atenov int.3 months ago

anthropic is making a serious effort to make agentic systems accessible to more people

Vikram M's profile picture
Vikram M3 months ago

That’s the real leverage. The companies that learn faster than everyone else, because their products continuously improve from user feedback, will be incredibly difficult to catch.

alice's profile picture
alice3 months ago

@caspaofficial calling for backup

Bazza kadima's profile picture
Bazza kadima3 months ago

This is absolutely amazing

penggao Yan's profile picture
penggao Yan3 months ago

Awesome, may I know where can I find out these courses by Claude? I would like to learn more.

mandrake's profile picture
mandrake3 months ago

@xdownloaderbot download this

Related Videos