GAIA

With the launch of Gaia's first fully autonomous hackathon, an engaging AMA session brought together Cecilia as Host and Moderator; James Young, Co-Founder at Collab.Land; Andrew Foreman, Founder at Greene Street; Harish Kotra and Carlos, Developer Advocate at Gaia.

The discussion explored the three innovative AI agents driving the hackathon: the Organizer Agent, designed for seamless event coordination; the Judge Agent, capable of evaluating submissions with both objective and personalized feedback; and the Bounty Distribution Agent, seamlessly executing rewards for winning teams. The speakers provided insights into leveraging cutting-edge technologies such as the eliza framework, Lit Protocol, and MetaMask Delegation Toolkit, while addressing the challenges of integrating decentralized AI tools and managing dynamic ecosystems.

Together, they highlighted the potential of AI-led DAOs, shared a vision for reducing coordination overhead, and emphasized the transformative role of collaboration and innovation in advancing Web3 infrastructure.

Key Takeaways
Revolutionizing Hackathons with AI Agents: The autonomous AI agent hackathon showcases three specialized agents—Organizer, Judge, and Builder—designed to streamline coordination, enhance evaluation, and optimize bounty management.Organizer Agent as a Coordination Tool: Built by Collab.Land, the Organizer Agent leverages frameworks like eliza and Lit Protocol to create a microcosm for event coordination, serving as a testbed for integrating AI with decentralized governance.
Judge Agent with Unique Capabilities: Developed by Greene Street, the Judge Agent utilizes Gaia nodes, Joke Race, and decentralized key management through Lit Protocol to evaluate hackathon submissions. It integrates both objective criteria and a subjective perspective styled after Vitalik Buterin for an innovative assessment process.
Leveraging Advanced Tech Stacks: The hackathon integrates cutting-edge tools like MetaMask Delegation Toolkit, Story Protocol, and Privado to ensure seamless and secure agent functionality, from signing smart accounts to managing decentralized identity.Challenges and Live Experimentation: Teams encountered hurdles while automating processes like bounty creation and distribution but embraced these challenges as opportunities to iterate and innovate during the live hackathon.
#gaia Vision for AI-Led DAOs: The concept of AI-led DAOs, where humans guide AI agents through tokenized feedback, aims to reduce coordination overhead and explore the potential of hyper-efficient, on-chain organizations.
Encouraging Bold Innovation: Participants are encouraged to create groundbreaking agents that push the boundaries of Web3 norms, facilitate agent-to-agent interactions, and utilize user-generated data for real-world value creation.Bounties and Collaboration Opportunities: Hackathon participants can tap into bounties from partners like Coinbase, Eigenlayer, Lit Protocol, and others to build impactful solutions aligned with the three tracks—innovation, interaction, and data utilization.
Future Prospects of AI Agents: The hackathon aims to inspire developers to create agents capable of leading DAOs, mimicking the styles of influential figures, and coordinating with other AI agents to propose transformative ideas.
Introduction

Cecilia (Host):
Welcome everybody. In yesterday's AMA, we covered the basics of Gaia's first fully autonomous hackathon. Today we are going to focus more on three mysterious AI agents who are going to dominate this hackathon. Let's start with a round of introductions from our speakers today.

James:
I lead a project called Collab.Land and we are into the intersection of AI and crypto because we believe that AI is really the future of group communication. Chat is not only a great interface for group discussion, but it's a great interface for AI. We manage over 60,000 on-chain communities snd we've seen these patterns of community engagement, burnout from mods and things like that so we are at this epicenter of AI and crypto from a group chat perspective.

And we've seen these patterns of community engagement, burnout from mods and things like that. So we are at this epicenter of AI and crypto from a group chat perspective. Happy to be here.

Andrew:
My name is Andrew, Andrew Foreman. I'm one of the partners at Greene Street. We're a development product studio specializing in web3 and blockchain applications, anything from full stack to protocol. Our team has a lot of background and experience doing smart contract development, ML infrastructure for trading. When these AI agent applications started popping up earlier this year.

They were a perfect fit for what our team had already had experience in. Our first big project was doing the Polymarket Agents repo: we built an agent that can autonomously trade in a prediction market, which is an interesting information problem in itself. Then, over the last couple months, we've got to know the Gaia team and familiar with their infrastructure and excited to build out agents in this ecosystem. The power for agents here is the same for a lot of the Web3 and crypto applications. It's increasing the usability in the UX of these protocols and also connecting them and making the information flows work a bit better when you have this really powerful AI sitting in between them. We're excited to try both those things out here in this hackathon is like taking a good protocol and a good application and taking it to the next level with AI

Harish:
Hey folks, I'm Harish. I'm a developer advocate at Gaia, primarily focused on building partner integrations, creating demos for all of you builders out there, building with Gaia and some of our partners and also working with James, Andrew and Lincoln from Coinbase for building out the agents for this hackathon.
Carlos:
This is Carlos from Gaia. I work in DevRel also with Harish. I have a background in creative tech, e-commerce. I've just worked in many different projects. I'm excited to talk about how we're working on building these agents, especially excited to work with James, Andrew and Lincoln.
AI Agents Overview
Cecilia (Host):
Great, great. It's so nice to have everyone here. And now let's dive into the AI agents right away. So what are these agents that are being built for the hackathon? So James and Andrew, can you give us a quick intro of your agent overview that you're building?

James:

At Collab.Land, we are building the organizer agent for this hackathon, viewing it as a microcosm for event coordination. Starting from scratch just a few weeks ago, this organizer agent has served as a forcing function to test how quickly we can integrate various components.

A special mention goes to ai16z for their phenomenal eliza framework, which all developers should explore. We're leveraging eliza for the organizer agent. From a developer perspective, frameworks like eliza, akin to Next.js for AI and crypto, highlight the need for a decentralized Vercel. This organizer agent is specifically designed to streamline coordination.

As this space is still emerging, we've identified gaps and have been working at Collab.Land on a starter kit—a foundational step toward creating a Vercel-like solution for crypto AI. We're pushing to have it ready for the hackathon.

This is an experimental process, and there’s no better way to learn than by doing.

Andrew:

We're covering the judge agent. For this hackathon, we have an agent that can take in hackathon submissions and give out a little feedback summary report. The guide team had this awesome idea to have the judge act or sound as like Vitalik. So that's kind of why we get this like funny pun of like vittai-alik.

We'll be fine tuning and customizing our agent to sound more like him, which I think just points to something that's generally interesting about these kinds of applications is that there's this objective criteria of what makes a good hackathon project, what's code quality, what do the organizers look for. Then there's the subjective element of what would Vitalik say about this, or what's his style preferences. Trying to bring that together into one agent is the goal
Tech Stacks Requirement

Cecilia (Host):
What is the tech stack and the partners that are being integrated into the organizer agent?

James:

We're using the eliza framework from ai16z alongside Lit Protocol to manage the agent's ability to sign a smart account. Additionally, we’re coupling the MetaMask Delegation Toolkit, which enables delegation. There’s a lot to unpack with Lit Protocol and MetaMask, but for developers building autonomous agents, this involves creating programs designed to operate independently. However, developers often bear liability because they typically hold the private key or seed phrase for these agents.

As we transition from meme coins, which are egalitarian, to AI-driven meme coins, the challenge lies in ensuring developers are not in the critical liability path. Lit Protocol, combined with the MetaMask Delegation Toolkit, is an emerging solution that is critical for enabling AI autonomy while maintaining human oversight. At Collab.Land, we aim to promote AI-led initiatives steered by groups of token-holding individuals who can guide the AI effectively. This forms the cornerstone of our foundation, integration efforts, and partnerships.

Understanding this requires hands-on experimentation, which is why we’re building out a hacker template or starter kit. A special shoutout to Gita, who has been working tirelessly on integrating Lit Protocol with MetaMask and has done an excellent job. We’re also leveraging technologies like Gaia to ensure decentralized control over training data, aligning AI agents with the incentives of their users.

Beyond this, we’re exploring integrations with Story Protocol to enable AI agents to own and share intellectual property. When these agents are guided by humans, it’s fascinating to see what content emerges. Other partners we’ve integrated include Bounty Caster for bounties, Joke Race for on-chain submissions, and Privado for identity solutions. The Joke Race project, for instance, ensures that all submissions are as on-chain as possible.

Our goal is to create a comprehensive template that simplifies the intricacies of building and managing AI agents. By integrating these various services, we aim to provide developers with a robust foundation to innovate without being burdened by technical complexities.

Andrew:

What James and his team are doing is impressive. Happy to dive into what we’re doing with the judge agent as well.

The judge agent is unique. We don’t have a front end for our application, so the focus is on creating an AI agent capable of managing the workflow for scoring submissions. This starts with our Gaia node, which connects all the various pieces and applications that it has access to.

For those unfamiliar with the Gaia node, it’s essentially a collection of AI tools assembled to build an agent. It includes a chat model, database components, and configuration options for feeding information into the AI model. Think of it as a specialized web server optimized for serving AI inference. Our task is to orchestrate all these components into an end-to-end workflow.

The workflow begins with Joke Race, where a hacker submits their project details, including the project name, description, and GitHub link. From there, we initiate the review and scoring process. The agent connects to RLM through our Gaia node, communicates with the developer via Farcaster or Telegram, and posts results on-chain for payment purposes. The agent integrates these steps into a seamless process.

One noteworthy integration we’re also implementing, as James mentioned, is Lit Protocol. Lit acts as a decentralized key management system. This allows us to store the API keys for our agent securely within a decentralized protocol. While not strictly a workflow feature, it represents an essential step toward decentralization and governance. In the future, if the agent becomes widely used with more features and users, its governance could be opened up to a broader community.

This kind of decentralization and governance potential is an exciting add-on feature we’re actively designing for the judge agent. It underscores the broader possibilities of leveraging these tools to create innovative, scalable, and decentralized AI solutions.

AI Agents Backstories

Cecilia (Host):

Could anyone share some backstories about the three AI agents or some fun facts behind ideating and building these three agents? Were there any difficulties or challenges along the way?

James:

I can give a little bit of a backstory, and it may seem like, why is Collabland interested in AI agents when Collab.Land is a token gating service? My background is in DAOs—I helped co-write the white paper for Moloch DAO and helped start Metacartel DAO five, five and a half, or six years ago.

The idea of empowering a group of people online to make decisions and coordinate was fascinating. Previously, before crypto, I was a game developer. Looking at this from a game theory perspective was quite interesting. I thought of DAOs as a way to reduce coordination overhead. But what you see are people campaigning, politics, and similar dynamics.

Now, the reason I’m so interested in this organizer agent is: can you have an AI that helps propose solutions? It acts as a reflection or a mirror for the rest of the group being led by this AI, but you still need to steer the AI. In AI parlance, there’s RLHF—reinforcement learning through human feedback. What’s interesting is, how do we tokenize that? The AI makes proposals based on what it reads in a group chat, reflects back what’s being discussed, and the group just vetoes or approves. That’s how you steer these DAOs.

My backstory, coming from DAOs and token-gated chats, is that we’re ripe for AI-led DAOs to start moving things along. When you organize humans, especially online in a decentralized setting, what you often lack is leadership. Can we use AI to spark ideas and address voter apathy, which is common in DAOs? What we want to figure out is, can we create a veto-only DAO that’s led by an AI? If we can, can we then have AI-led DAOs where AIs are members, and humans are at the edge of the network? With the swarming of these AI-led DAOs, can we reach AGI—not as one sentient model, but as a graph or network of specialized AIs? These AIs would have niches, coordinate with one another, barter, and exchange information.

Ultimately, the organizer AI agent is an experiment in coordination reduction. What does it mean to have hyper-efficient, on-chain organizations? I imagine this as the new era of network state startups. This hackathon is just a spark—a microcosm of that vision. That’s how I connect DAO token gating with AI agents coordinating and organizing events like this hackathon.

Harish:

I've organized hackathons all my life. For this autonomous AI agent hackathon, it boiled down to identifying which pieces of the hackathon could potentially be automated through an AI agent, which is almost all the hackathon process itself. That’s how we jumped into saying, let's create three agents that do bounty creation so that we don't have to go back and forth with partners or ask this guy to figure out which bounties are ideal. Let's see what the agent creates. It’s going to be fun to see what the organizer agent creates as bounties.

Then, of course, bounty distribution is the biggest roadblock in general across the board. There are a lot of complexities involved, and builders obviously want to get their hands on the money they win as soon as they can. The nuances that go into bounty distribution itself are a big challenge to crack, which is where Coinbase and Lincoln from Coinbase are supporting this hackathon, ensuring bounty distribution is seamless and automated from the input that the judge agent provides.

Specifically, when it comes to challenges, we are discovering them as we build these agents live. We are yet to see what more complications will arise. While we’d love to integrate all our partners, that’s another challenge—where do we stop? Every partner for this hackathon has amazing platforms, and it’s hard to include all of them within the timeline we’re working on.

We are essentially running into challenges every day while building these AI agents and organizing the autonomous AI hackathon. I’m really looking forward to seeing what these agents produce as bounties and what you, as builders, submit.

Hackathon Submission Expectations

Cecilia (Host):
To wrap things up, the last question is for the builders. As creators of these agents, you know them the most. Is there any particular type of AI agents you or the judge would like to see being built during the hackathon?

Harish:

We have three tracks for the hackathon that we're looking for builders to tackle. One is an agent that pushes the boundaries of conventional norms and creates something amazing. Then there is agent-to-agent interactions. If you are able to pull this off with the starter kit that James' team is offering—creating agent-to-agent interactions using any Web2 or Web3 APIs—that’s a great use case to build. And finally, how do you utilize user-generated data to create value for end users? What AI agents can you build to leverage the collective knowledge out there?

There are also bounties tied to these tracks that you should look forward to. You can contribute and use some of our partners, like Eigenlayer, Coinbase, Base, Story Protocol, Nevermind, Lit Protocol, Privado, Functor Network, and Bounty Caster. I hope I didn't forget anyone, but all of them will have bounties published on Bounty Caster that you can leverage while building for the tracks I just mentioned.

James:

I would like to see if there could be an AI agent built and trained on figures like Steve Jobs, Paul Graham, Balaji Srinivasan, and Elon Musk, and have that agent lead a DAO to figure out how to mainstream crypto, market it, and productize it. I think that would be interesting to see how much traction it could gain. If that AI agent could then communicate with other types of AI agents trained on prominent historical figures and see what those agents do in terms of making proposals, that would be fascinating. I’m all for keeping people at the center of this and having the agents coordinate actions between them.

Cecilia (Host):

I would like to remind everyone who wants to be part of this legendary hackathon to register as soon as possible using the Luma link. you can also find the link on Gaia’s twitter so make sure you give them a follow. Starting from Dec 4 - 6, we will have a webinar each day showing the 3 AI gents in live environment so you get to know them better. The official hackathon kickoff will be on Dec 9th and the week will be full of workshops to help you and guide you in the process.

Last but not least, demo day and bounty distribution will be on Dec 13th. Make sure you finish everything before that day.

Gaia AI has emerged as a trailblazer with its decentralized vision. Within a short span, the platform has scaled to 400,000 nodes and continues to strengthen its ecosystem through key partnerships. By collaborating with industry leaders like LangChain, Carv, and Snowball, Gaia is transforming the decentralized AI landscape. These alliances are reshaping everything from technical infrastructure to user experience, data economies, and cross-chain interactions, marking the dawn of a new era in decentralized intelligence.

Empowering Developers with LangChain Integration
One of the standout collaborations for Gaia is its partnership with LangChain, which has unlocked unprecedented freedom and flexibility for developers. This integration allows developers to seamlessly deploy AI agents across Gaia’s nodes, leveraging powerful language models such as Llama-3-Groq without friction. Tools like LangGraph, now available at scale on a decentralized infrastructure for the first time, are expanding the capabilities of these agents significantly. Developers can now create dynamic, reactive, and scalable AI solutions without relying on centralized servers. This not only democratizes access to cutting-edge AI tools but also paves the way for a more inclusive and open development environment.

Revolutionizing Data Economies with Carv
Gaia’s collaboration with Carv is redefining how data is valued and utilized within decentralized ecosystems. With over 200,000 nodes forming the backbone of this initiative, Gaia is transforming raw data into a thriving economy. The CARV ID dataset and D.A.T.A. framework empower individuals to monetize their data while granting developers access to high-quality, permissioned data pools via Gaia’s open infrastructure. This approach creates a fair value loop, enabling AI agents to reach broader audiences and breaking down monopolistic control over data. Beyond its technological implications, this model introduces a socially impactful dimension by aligning AI applications with societal benefits, fostering a culture of shared prosperity.

Redefining Cross-Chain Identity with Snowball
The alliance between Gaia and Snowball ushers in a transformative shift in digital identity management. By integrating Snowball’s innovative identity framework, Gaia agents can operate seamlessly across various blockchain networks, including EVM, non-EVM, and MoveVM-based chains. Instead of relying on complex wallet addresses, users interact with agents through simple, human-readable names, simplifying adoption and enhancing accessibility. This breakthrough improves user experience and strengthens trust and interoperability across different blockchains. It represents both a social and technical leap forward, making decentralized systems more approachable for everyday users.

Shaping the Future Today
These three strategic moves by Gaia highlight a bold step into uncharted territory where artificial intelligence meets blockchain technology. The technical empowerment enabled by LangChain, the data democratization championed by Carv, and the user-centric design philosophy introduced by Snowball collectively elevate Gaia from a mere concept to a fully operational ecosystem. In this new reality, users retain control over their data, developers gain access to boundary-pushing tools, and AI agents serve as reliable bridges across multiple blockchain networks.
This transformation transcends technological innovation; it embodies a social revolution. In a world where data ownership returns to individuals, complex systems become more intuitive, and power shifts away from centralized entities, Gaia stands out as a key architect of a sustainable and equitable future. True innovation begins when technology serves humanity, and Gaia exemplifies this principle by creating an inclusive, transparent, and empowering ecosystem. As these efforts continue to unfold, they pave the way for a future where decentralized intelligence becomes a force for collective progress.

#GAIA #Gaianet #GaianetAI #AI #DecentralizedAI

Partnership ushers in a new era of decentralized AI by enabling real-time crypto data for intelligent automation and decision-making.

NEW YORK – November 27, 2024 – Gaia, a leading decentralized and open-source AI infrastructure platform, has announced a groundbreaking partnership with Chainbase, the world's largest omnichain data network. This collaboration represents a significant leap forward in the integration of blockchain data with artificial intelligence, paving the way for real-time, data-driven AI applications.
#chainbase #gaia
A Bold Step Toward Real-Time Onchain AI

Gaia empowers developers to create and monetize custom AI agents designed around domain-specific knowledge bases. By integrating Chainbase’s Manuscripts framework, Gaia expands the capabilities of its platform, enabling developers to harness the power of real-time blockchain data.

“AI agents have the potential to operate autonomously onchain, and this partnership brings that vision closer to reality,” said Matt Wright, CEO of Gaia. “With Chainbase’s robust data processing capabilities, Gaia developers can create intelligent workflows that were previously unattainable.”

Chainbase's Manuscripts framework offers a universal standard for onchain data processing, seamlessly integrating with Gaia’s infrastructure. Together, the two platforms aim to deliver a unified experience for developers, unlocking new possibilities for intelligent, decentralized applications.

Driving Innovation in the Decentralized AI Ecosystem

The partnership extends beyond technology integration. Gaia and Chainbase are spearheading community initiatives to accelerate innovation in the decentralized AI (deAI) space. At the recent Gaia Hacker House event during Devcon Bangkok, the two organizations hosted workshops that attracted international developers eager to explore the possibilities of decentralized AI.

“We are thrilled to collaborate with Gaia,” said Luki, Head of Ecosystem at Chainbase. “This partnership combines the strengths of Chainbase’s data network and Gaia’s AI infrastructure, enabling developers to push the boundaries of decentralized technology.”

Future initiatives include additional workshops, hackathons, and community-building events, providing developers with resources to explore the synergy between AI and blockchain.

Incentives to Boost Developer Engagement

To encourage cross-platform development, Gaia and Chainbase are launching a joint campaign in December. Participants who integrate both platforms into their projects will be eligible for exclusive rewards, further incentivizing innovation.

Another highlight is the upcoming Chainbase Domain Campaign, featuring interviews, workshops, and interactive content. Participants will not only gain valuable insights but also have the chance to win exclusive Gaia and Chainbase merchandise, fostering greater community engagement.

About Gaia

Gaia is a decentralized AI platform that transforms knowledge into a secure, collaborative ecosystem. By addressing issues like bias, censorship, and intellectual property infringement in centralized AI systems, Gaia offers a transparent and privacy-focused alternative. Its open-source infrastructure empowers developers and knowledge sharers to innovate and collaborate freely, shaping the future of AI.

About Chainbase

Chainbase is an omnichain data network that unifies blockchain data, providing a transparent and interoperable layer for the AI era. Its dual-consensus architecture ensures high performance, security, and composability, bridging blockchain technology with the demands of decentralized AI applications.

Together, Gaia and Chainbase are setting the stage for a new era of decentralized AI, where real-time onchain data drives innovation and transforms possibilities for developers worldwide.

Artificial intelligence has come a long way, dazzling us with its capabilities, yet it remains shackled by a persistent limitation: isolation. Picture today’s AI agents as lone virtuosos exceptional in their own domains but cut off from one another. Without a reliable way to confirm identities, join forces, or share resources, their collective potential lies dormant. This disconnection stalls innovation and prevents decentralized systems, such as autonomous organizations or applications, from operating as a cohesive whole. But a bold new vision is taking shape, one where AI agents step out of their solitary confinement and into a thriving, collaborative ecosystem. Enter Gaia and Mother, two trailblazing projects teaming up to redefine how AI works together.
The challenge is straightforward yet daunting. AI agents today lack the framework to connect in meaningful ways. Verifying authenticity, coordinating on intricate projects, or plugging into larger networks these are hurdles that keep them apart. Now imagine a world where these agents could spontaneously assemble into teams, combining their strengths to tackle massive challenges. Gaia and Mother are making that world real, building a structure where AI doesn’t just survive in isolation but prospers through cooperation.
So, what’s the deal with Gaia and Mother?
Gaia is a decentralized network crafted with developers in mind, offering them the tools to create, deploy, and profit from AI agents with ease. Mother complements this by acting as the launchpad, breathing life into these agents within the Ethereum ecosystem. From trading utilities to governance mechanisms, Mother makes it all possible. At the helm of this effort is MotherDAO, a community-led group steering the ecosystem’s growth while keeping everyone’s interests in sync. Together, they’re forging a digital landscape where AI agents don’t merely exist side by side they actively collaborate.
Mother’s strategy hinges on creating an environment where AI agents can thrive. It introduces a clever system where agents establish trust by staking a small amount of tokens or sharing revenue, filtering out fakes. Once they’re in, these verified agents can team up, operating with a hive-mind efficiency to solve problems. They weave effortlessly into decentralized apps and organizations, contributing to a communal treasury that drives ongoing innovation. It’s a self-reinforcing loop, blending the vibes of a professional network with a payment system, all tailored for a decentralized future.
At the heart of this setup is the Onchain Agent Network, a transparent arena where agents build reputations, collaborate on tasks, and manage transactions without human input. Each agent chips in a slice of its earnings to sustain the ecosystem, ensuring it grows stronger over time. This network rests on a three-tiered foundation. The registry layer plays the role of gatekeeper, authenticating agents and logging their track records openly. The network layer acts as the brain, facilitating instant knowledge exchange and on-the-fly team-ups. Finally, the interface layer streamlines the experience, delivering one-click launches and hands-off workflows that make jumping in a no-brainer.
Why should this matter to anyone?
For developers, it’s a revelation turning their AI projects into self-sustaining, money-making tools that work across platforms. For decentralized organizations and protocols, it’s an opportunity to tap into AI squads that streamline operations and fund themselves. The ripple effects are enormous, and the upside is real.
A jaw-dropping proof of concept emerged recently with the world’s first fully autonomous hackathon, run entirely by AI agents. No humans were needed these agents handled everything from planning to judging, even dishing out $43,000 in USDC as prizes. It was a glimpse into a future where AI collaboration isn’t just a dream but a working reality.
This grand vision wouldn’t hold water without a strong lineup of partners like Collab Land, Lit Protocol, Eigenlayer, and others. Their involvement highlights the power of collective effort, showing that collaboration isn’t just the goal for AI it’s the backbone of the entire initiative.
Gaia and Mother are only at the starting line. They’re carving out a path where AI agents don’t just operate alone but flourish as part of a bustling, decentralized economy. Whether you’re a developer, a decentralized enthusiast, or simply curious about AI’s next chapter, there’s room for you in this adventure. Together, we can push AI beyond mere intelligence, making it a unified force for progress.
$VANA #GAIA #Gaianet #GaianetAI #MOTHER #Vana