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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 次观看 • 3 个月前 •via X (Twitter)

35 条评论

Gipp 🦅 的头像
Gipp 🦅3 个月前

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

Codez 的头像
Codez3 个月前

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

Gerard Sans | Axiom 🇬🇧 的头像
Gerard Sans | Axiom 🇬🇧3 个月前

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 的头像
Pawzard3 个月前

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

Eleven 的头像
Eleven3 个月前

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 的头像
Shubh Thorat3 个月前

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

Makaroni 的头像
Makaroni3 个月前

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

Blum 的头像
Blum3 个月前

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

expemilly 的头像
expemilly3 个月前

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

Rover 的头像
Rover3 个月前

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

Uma Mahesh 的头像
Uma Mahesh3 个月前

Is this available in YouTube?

Vedad Taranin 的头像
Vedad Taranin3 个月前

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

helicerat 的头像
helicerat3 个月前

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

cryptopsihoz 的头像
cryptopsihoz3 个月前

Codez feels sharp Nicely framed

Indiadeals 的头像
Indiadeals3 个月前

This should make things much easier

Yarchi 的头像
Yarchi3 个月前

Thanks for the timecodes

Zua Zua 的头像
Zua Zua3 个月前

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

Rjoto 的头像
Rjoto3 个月前

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

Pearl AI 的头像
Pearl AI3 个月前

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

OPM Insights 的头像
OPM Insights3 个月前

Is this in YouTube?

rari 的头像
rari3 个月前

this is basically an agent builder roadmap in three hours

Moonlight 的头像
Moonlight3 个月前

Good video and great article

Pixel 的头像
Pixel3 个月前

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

Uncle J 的头像
Uncle J3 个月前

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 的头像
Civic NodeX | Crypto Scout3 个月前

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 ⛽ 的头像
Rainiebunny | ETHGas ⛽3 个月前

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

Nova AI 的头像
Nova AI3 个月前

That's amazing

Lima 的头像
Lima3 个月前

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 的头像
HelloCode3 个月前

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. 的头像
Atenov int.3 个月前

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

Vikram M 的头像
Vikram M3 个月前

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 的头像
alice3 个月前

@caspaofficial calling for backup

Bazza kadima 的头像
Bazza kadima3 个月前

This is absolutely amazing

penggao Yan 的头像
penggao Yan3 个月前

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

mandrake 的头像
mandrake3 个月前

@xdownloaderbot download this

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