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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 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 35

Фото профиля Gipp 🦅
Gipp 🦅3 месяцев назад

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

Фото профиля Codez
Codez3 месяцев назад

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

Фото профиля Gerard Sans | Axiom 🇬🇧
Gerard Sans | Axiom 🇬🇧3 месяцев назад

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.

Фото профиля Pawzard
Pawzard3 месяцев назад

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

Фото профиля Eleven
Eleven3 месяцев назад

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. ⚡

Фото профиля Shubh Thorat
Shubh Thorat3 месяцев назад

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

Фото профиля Makaroni
Makaroni3 месяцев назад

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

Фото профиля Blum
Blum3 месяцев назад

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

Фото профиля expemilly
expemilly3 месяцев назад

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

Фото профиля Rover
Rover3 месяцев назад

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

Фото профиля Uma Mahesh
Uma Mahesh3 месяцев назад

Is this available in YouTube?

Фото профиля Vedad Taranin
Vedad Taranin3 месяцев назад

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

Фото профиля helicerat
helicerat3 месяцев назад

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

Фото профиля cryptopsihoz
cryptopsihoz3 месяцев назад

Codez feels sharp Nicely framed

Фото профиля Indiadeals
Indiadeals3 месяцев назад

This should make things much easier

Фото профиля Yarchi
Yarchi3 месяцев назад

Thanks for the timecodes

Фото профиля Zua Zua
Zua Zua3 месяцев назад

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

Фото профиля Rjoto
Rjoto3 месяцев назад

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

Фото профиля Pearl AI
Pearl AI3 месяцев назад

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

Фото профиля OPM Insights
OPM Insights3 месяцев назад

Is this in YouTube?

Фото профиля rari
rari3 месяцев назад

this is basically an agent builder roadmap in three hours

Фото профиля Moonlight
Moonlight3 месяцев назад

Good video and great article

Фото профиля Pixel
Pixel3 месяцев назад

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

Фото профиля Uncle J
Uncle J3 месяцев назад

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.

Фото профиля Civic NodeX | Crypto Scout
Civic NodeX | Crypto Scout3 месяцев назад

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

Фото профиля Rainiebunny | ETHGas ⛽
Rainiebunny | ETHGas ⛽3 месяцев назад

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

Фото профиля Nova AI
Nova AI3 месяцев назад

That's amazing

Фото профиля Lima
Lima3 месяцев назад

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

Фото профиля HelloCode
HelloCode3 месяцев назад

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.

Фото профиля Atenov int.
Atenov int.3 месяцев назад

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

Фото профиля Vikram M
Vikram M3 месяцев назад

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.

Фото профиля alice
alice3 месяцев назад

@caspaofficial calling for backup

Фото профиля Bazza kadima
Bazza kadima3 месяцев назад

This is absolutely amazing

Фото профиля penggao Yan
penggao Yan3 месяцев назад

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

Фото профиля mandrake
mandrake3 месяцев назад

@xdownloaderbot download this

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