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why agents need typed graphs to coordinate /w Andrew and Ragnor from Modern Relay, an agent substrate layer built on open-source infrastructure like Lance, Arrow, and DataFusion Timestamps: (0:00) Why build a graph database for agents? (5:43) Why not Postgres or any other relational database? (17:03) The composable "company...

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Stanislav Kozlovski

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10,621 görüntüleme • 3 ay önce •via X (Twitter)

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thanks for having us 🙏

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can't wait to listen!!

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Is this video on a podcast or on YouTube ?

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Code_of_Kai3 ay önce

How's this different than using beads? Is it better than using beads?

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Stanislav Kozlovski3 ay önce

available on other platforms as well: - Spotify: - Apple Podcasts: - General RSS: Remember to like/share if you learned something!

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Also check Omnigraph here:

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How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

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As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:
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As soon as you try to run 2 agents on the same data, everything breaks: • Agent 1 reads some data and starts working. • Two seconds later, Agent 2 changes that same data. This is a problem. Agents will waste tokens on stale data, overwrite each other's work, and redo tasks the other has already finished. You can't prompt your way out of this mess. Everything old in software engineering is new again. We need proper coordination when running multiple agents. Here is a good open-source solution for this: Omnigraph is a graph database for context assembly and multi-agent coordination. Here is how it works: • It sets one shared place where multiple agents will work from • Each agent gets their own copy of the data • Agents write their changes to their copy • When an agent is done, it merges its changes back Three huge benefits from this model: 1. We know it works. We've been doing this for decades already. 2. No more lost information or agents stepping on each other's toes. 3. You get a complete trail of which agent did what and when. I recorded a video to show you a bit more about this. Here is the link to the Omnigraph GitHub repository:

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After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep
40:50

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

Amp

36,551 görüntüleme • 8 ay önce

why agents need VMs, not containers with David Crawshaw, ex-CTO & co-founder of Tailscale now co-founder and CEO of exe - a new up-and-coming cloud provider Timestamps (0:00) why build a new cloud? (2:07) why Docker isn't enough for agents (12:28) why AI-friendly is developer-friendly (20:32) why VMs are the right abstraction (and the serendipity of just dropping an idea prompt from your phone) (28:30) the exorbitant price of IOPS in the cloud (32:21) Cloud Discounts (33:40) the rise of self hosting (41:25) Shelly and AI ops agents (48:10) the hard problem with AI SREs (53:00) parting thoughts and early EC2’s noisy neighbor shenanigans
56:55

why agents need VMs, not containers with David Crawshaw, ex-CTO & co-founder of Tailscale now co-founder and CEO of exe - a new up-and-coming cloud provider Timestamps (0:00) why build a new cloud? (2:07) why Docker isn't enough for agents (12:28) why AI-friendly is developer-friendly (20:32) why VMs are the right abstraction (and the serendipity of just dropping an idea prompt from your phone) (28:30) the exorbitant price of IOPS in the cloud (32:21) Cloud Discounts (33:40) the rise of self hosting (41:25) Shelly and AI ops agents (48:10) the hard problem with AI SREs (53:00) parting thoughts and early EC2’s noisy neighbor shenanigans

Stanislav Kozlovski

125,539 görüntüleme • 4 ay önce

LIVE NOW -- "Society of AI Agents" | Jansen Teng (Virtuals Protocol) EtherMage of Virtuals Protocol joins RYAN SΞAN ADAMS and Ejaaz to discuss what Virtuals' grand vision is. Virtuals isn’t just another protocol—it’s an entirely new kind of “digital nation” where AI agents hold their own wallets, strike deals with other agents, and even hire humans to accomplish their goals. We dive into how these agents first exploded onto the scene, why controlling their own money changes the AI game, and what “agent commerce” means for crypto at large 👇 TIMESTAMPS 0:00 Intro 3:12 Virtuals Impressive Stats 4:49 Jansen’s Crypto & Virtuals Journey 17:38 Luna 29:40 Agent to Agent Commerce 41:44 Virtuals Country?? 51:13 Agent Policies & Rights 52:57 Base, Infrastructure, & Open-Source Decisions 1:05:17 What Jansen is Most Excited For 1:08:20 How to Get Started 1:11:13 Where Will Value Accrue? 1:14:41 Closing & Disclaimers
1:18:30

LIVE NOW -- "Society of AI Agents" | Jansen Teng (Virtuals Protocol) EtherMage of Virtuals Protocol joins RYAN SΞAN ADAMS and Ejaaz to discuss what Virtuals' grand vision is. Virtuals isn’t just another protocol—it’s an entirely new kind of “digital nation” where AI agents hold their own wallets, strike deals with other agents, and even hire humans to accomplish their goals. We dive into how these agents first exploded onto the scene, why controlling their own money changes the AI game, and what “agent commerce” means for crypto at large 👇 TIMESTAMPS 0:00 Intro 3:12 Virtuals Impressive Stats 4:49 Jansen’s Crypto & Virtuals Journey 17:38 Luna 29:40 Agent to Agent Commerce 41:44 Virtuals Country?? 51:13 Agent Policies & Rights 52:57 Base, Infrastructure, & Open-Source Decisions 1:05:17 What Jansen is Most Excited For 1:08:20 How to Get Started 1:11:13 Where Will Value Accrue? 1:14:41 Closing & Disclaimers

Bankless

142,733 görüntüleme • 1 yıl önce

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks
1:39:56

E114: Walrus 🦭/acc : Decentralizing Data Storage, the perfect complement to the SUI Network George Danezis is the Chief Scientist at MystenLabs.sui , co-creator of the Sui , and one the minds behind Walrus 🦭/acc Timestamps 0:00 Intro 2:00 Partnerships: Jupiter, Bitwise, SUI & Mantle 2:46 Sleeping Habits 4:05 Who is George? 4:23 What is a Chief Scientist? 5:16 Research at Microsoft vs. Now 6:59 What is “Good Research”? 8:49 Corporate Innovation vs. Reality 10:31 Why I Love Teaching Security 11:52 Self Custody with Trezor 12:44 Teaching vs. Real-World Application 16:28 What Makes an Idea Great? 17:51 The Idea That Never Worked Out 19:50 Being Late to Ideas, Not Early 20:56 The Essence of Peer-to-Peer Networks 23:50 Why We Need Peer-to-Peer Systems? 27:51 Why Decentralization Was Hard to Realize 31:09 Bitcoin's Game-Changing Impact 33:10 ETH Aha Moment 34:46 Facebook’s Conviction in Blockchain 37:39 Scaling DIEM/LIBRA to Sui 39:20 Biggest Issue at Facebook 40:20 Why Facebook Bet on Crypto 41:40 Why I Left Facebook 45:07 Balancing Passion and Pay 46:43 What is a Blockchain Good For? 51:42 Understanding Blockchain’s Limitations 53:21 CryptoKitties 54:36 Meme Coins: Culture vs. Scam 57:02 The Role of Norms in Crypto 1:00:32 What is the Sui Network? 1:02:32 Why Do We Need The Sui Network? 1:03:34 Layer 1 vs. Layer 2 1:05:07 Why Build a Layer One? 1:09:21 Top Layer One Competitors 1:10:45 Decentralization vs. Practicality 1:14:06 Minimum Decentralization 1:16:33 Data Storage & Its Biggest Problem 1:20:05 What is Walrus Protocol? 1:22:09 Why Walrus is Possible Now 1:25:35 Why Sui Network for Data Storage? 1:27:37 Vision of Walrus Protocol 1:28:59 Building a Neutral Tech Future 1:30:44 Using Existing Blockchains 1:33:03 Future of Decentralized Production 1:35:51 Prediction For The Next 12 Months 1:39:04 Concluding Remarks

MR SHIFT 🦁

111,082 görüntüleme • 1 yıl önce

new greenpill.network pod out with Shaw (spirit/acc) founder of elizaOS ! we talk about agent-native games, open source culture, abundance networks, and why software is getting cheaper while agency, ownership, and coordination matter more than ever. love these talks on the frontier... 00:00 – Intro & why Shaw’s work matters 01:10 – Catching up after the bear market 03:00 – How Shaw’s perspective on AI has changed 05:10 – From Eliza v1 to ElizaOS 07:20 – Shipping fast & throwing code away 09:30 – AI agents as autonomous actors 12:00 – Agent-native games as experimentation spaces 15:10 – Open source, forks & losing mindshare 18:00 – Hype cycles, narratives & incentives 21:00 – Why “code is getting cheap” 24:00 – Rewriting systems & technical tradeoffs 27:00 – What AI agents still can’t do 30:00 – Builder culture vs speculation culture 33:00 – Centralized platforms & getting banned 36:00 – Decentralized social: what’s missing 39:00 – Are AI agents taking jobs? 41:30 – Meaning, agency & human creativity 44:00 – Ownership, UBI & coordination problems 46:30 – Abundance networks & positive-sum systems 49:00 – What Shaw wants to build next 51:00 – Closing thoughts
51:59

new greenpill.network pod out with Shaw (spirit/acc) founder of elizaOS ! we talk about agent-native games, open source culture, abundance networks, and why software is getting cheaper while agency, ownership, and coordination matter more than ever. love these talks on the frontier... 00:00 – Intro & why Shaw’s work matters 01:10 – Catching up after the bear market 03:00 – How Shaw’s perspective on AI has changed 05:10 – From Eliza v1 to ElizaOS 07:20 – Shipping fast & throwing code away 09:30 – AI agents as autonomous actors 12:00 – Agent-native games as experimentation spaces 15:10 – Open source, forks & losing mindshare 18:00 – Hype cycles, narratives & incentives 21:00 – Why “code is getting cheap” 24:00 – Rewriting systems & technical tradeoffs 27:00 – What AI agents still can’t do 30:00 – Builder culture vs speculation culture 33:00 – Centralized platforms & getting banned 36:00 – Decentralized social: what’s missing 39:00 – Are AI agents taking jobs? 41:30 – Meaning, agency & human creativity 44:00 – Ownership, UBI & coordination problems 46:30 – Abundance networks & positive-sum systems 49:00 – What Shaw wants to build next 51:00 – Closing thoughts

owockai

12,941 görüntüleme • 7 ay önce