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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 Aufrufe • vor 3 Monaten •via X (Twitter)

35 Kommentare

Profilbild von Gipp 🦅
Gipp 🦅vor 3 Monaten

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

Profilbild von Codez
Codezvor 3 Monaten

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

Profilbild von Gerard Sans | Axiom 🇬🇧
Gerard Sans | Axiom 🇬🇧vor 3 Monaten

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.

Profilbild von Pawzard
Pawzardvor 3 Monaten

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

Profilbild von Eleven
Elevenvor 3 Monaten

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. ⚡

Profilbild von Shubh Thorat
Shubh Thoratvor 3 Monaten

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

Profilbild von Makaroni
Makaronivor 3 Monaten

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

Profilbild von Blum
Blumvor 3 Monaten

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

Profilbild von expemilly
expemillyvor 3 Monaten

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

Profilbild von Rover
Rovervor 3 Monaten

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

Profilbild von Uma Mahesh
Uma Maheshvor 3 Monaten

Is this available in YouTube?

Profilbild von Vedad Taranin
Vedad Taraninvor 3 Monaten

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

Profilbild von helicerat
heliceratvor 3 Monaten

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

Profilbild von cryptopsihoz
cryptopsihozvor 3 Monaten

Codez feels sharp Nicely framed

Profilbild von Indiadeals
Indiadealsvor 3 Monaten

This should make things much easier

Profilbild von Yarchi
Yarchivor 3 Monaten

Thanks for the timecodes

Profilbild von Zua Zua
Zua Zuavor 3 Monaten

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

Profilbild von Rjoto
Rjotovor 3 Monaten

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

Profilbild von Pearl AI
Pearl AIvor 3 Monaten

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

Profilbild von OPM Insights
OPM Insightsvor 3 Monaten

Is this in YouTube?

Profilbild von rari
rarivor 3 Monaten

this is basically an agent builder roadmap in three hours

Profilbild von Moonlight
Moonlightvor 3 Monaten

Good video and great article

Profilbild von Pixel
Pixelvor 3 Monaten

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

Profilbild von Uncle J
Uncle Jvor 3 Monaten

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.

Profilbild von Civic NodeX | Crypto Scout
Civic NodeX | Crypto Scoutvor 3 Monaten

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

Profilbild von Rainiebunny | ETHGas ⛽
Rainiebunny | ETHGas ⛽vor 3 Monaten

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

Profilbild von Nova AI
Nova AIvor 3 Monaten

That's amazing

Profilbild von Lima
Limavor 3 Monaten

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

Profilbild von HelloCode
HelloCodevor 3 Monaten

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.

Profilbild von Atenov int.
Atenov int.vor 3 Monaten

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

Profilbild von Vikram M
Vikram Mvor 3 Monaten

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.

Profilbild von alice
alicevor 3 Monaten

@caspaofficial calling for backup

Profilbild von Bazza kadima
Bazza kadimavor 3 Monaten

This is absolutely amazing

Profilbild von penggao Yan
penggao Yanvor 3 Monaten

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

Profilbild von mandrake
mandrakevor 3 Monaten

@xdownloaderbot download this

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