AI Agents will revolutionise the way we interact on-chain.
Lets learn about the protocols in the space that are competing to solve this problem.
A thread 🧵...
Lets learn about the protocols in the space that are competing to solve this problem.
A thread 🧵...
0/ This thread is a short and concise version of an article we wrote, if you want to read a longer and an in depth version, please scroll down to the bottom of the thread to find the link.
Or enjoy the tldr..
Or enjoy the tldr..
1/ When we hear about AI x Crypto, we mostly hear people mentioning data collection, GPU computation or data inference projects leveraging crypto in AI.
While these projects are creating fascinating applications, their impact on everyday web3 users remains limited.
While these projects are creating fascinating applications, their impact on everyday web3 users remains limited.
2/ There's a new suite of protocols in the crypto x AI space that stand the potential to attract the masses to crypto.
We all accept that navigating complex crypto dapps can be daunting for even the most experienced users. Well, AI can solve that!
We all accept that navigating complex crypto dapps can be daunting for even the most experienced users. Well, AI can solve that!
3/ These AI Agents sit at the crossroads of crypto & AI, aiming to fix the tricky UX issues in crypto.
Imagine a future where you could simply tell an AI agent what you want to achieve on-chain, and it would automatically compose and execute the necessary txs for you.
Imagine a future where you could simply tell an AI agent what you want to achieve on-chain, and it would automatically compose and execute the necessary txs for you.
4/ These Agents will help us build an intelligence layer on top of the existing DeFi rails.
This layer will become the TradFi equivalent of bankers, investors, traders, fund managers etc in web3.
And they will leverage the underlying primitives to transact on-chain.
This layer will become the TradFi equivalent of bankers, investors, traders, fund managers etc in web3.
And they will leverage the underlying primitives to transact on-chain.
5/ Based on the type of use case and value add the protocols bring, the evolving AI Agent space can be largely broken down in the following categories:
1. Autonomous Portfolio Managers
2. Prompt based AI Agents
3. Gaming Agents
1. Autonomous Portfolio Managers
2. Prompt based AI Agents
3. Gaming Agents
6/
1. Autonomous Portfolio Managers:
These are AI Agents are designed to manage user's assets.
The aim of the AI Agent is to maximise the user's earnings by intelligently delegating the assets across various DeFi strategies.
1. Autonomous Portfolio Managers:
These are AI Agents are designed to manage user's assets.
The aim of the AI Agent is to maximise the user's earnings by intelligently delegating the assets across various DeFi strategies.
2. Prompt based AI Agents:
Imagine a future where you could simply tell an AI agent what you want to achieve on-chain, and it would automatically compose and execute the necessary txs for you.
These interfaces can help users interact onchain by directly chatting with the Agent.
Imagine a future where you could simply tell an AI agent what you want to achieve on-chain, and it would automatically compose and execute the necessary txs for you.
These interfaces can help users interact onchain by directly chatting with the Agent.
8/
3. Gaming agents:
The gaming Agents are being designed to act on the behalf of the user or assist user as an in game pet/assistant.
These agents will also be able to interact and trade assets with other agents in the game.
The Gaming Agent space is still relatively new.
3. Gaming agents:
The gaming Agents are being designed to act on the behalf of the user or assist user as an in game pet/assistant.
These agents will also be able to interact and trade assets with other agents in the game.
The Gaming Agent space is still relatively new.
9/ Let's discuss a few of these AI Agent protocols in detail:
@autonolas empowers devs to build and deploy autonomous agents that work together seamlessly off-chain while leveraging blockchain for enhanced capabilities on-chain.
Agents on Olas Network - pandora.computer
@autonolas empowers devs to build and deploy autonomous agents that work together seamlessly off-chain while leveraging blockchain for enhanced capabilities on-chain.
Agents on Olas Network - pandora.computer
10/ @polywrap_io is building a network of specialized AI agents that perform complex tasks for web3 users and protocols.
Current agents include those for payments, market research and trading, social content curation, predictions, and public goods funding.
Current agents include those for payments, market research and trading, social content curation, predictions, and public goods funding.
11/ @ParallelColony is building a new AI-powered Web3 survival game. In Colony, AI agents or "avatars," continuously learn from their environment.
Players must guide and collaborate with these avatars to survive in a future Earth with competing colonies.
Players must guide and collaborate with these avatars to survive in a future Earth with competing colonies.
12/ Colony stands out by integrating continuous learning into its gameplay. The AI avatars develop unique personalities and worldviews, learning from their own experiences, identities, and goals.
Additionally, these avatars can trade with other in-game avatars.
Additionally, these avatars can trade with other in-game avatars.
13/ @AIWayfinder is creating a "map" for AI agents to handle tasks and simplify on-chain activities for users. By open-sourcing development and incentivizing builders with the $PROMPT token, Wayfinder will expand a network of navigational instructions.
14/ It aims to connect blockchains and off-chain data sources, allowing users to execute tasks easily via command prompts.
This is a video of the wayfinder agent in action:
This is a video of the wayfinder agent in action:
https://x.com/AIWayfinder/status/1779605000735367549
15/ @NetworkNoya is a decentralized finance (DeFi) protocol that empowers AI agents to manage liquidity across multiple blockchains with security and precision.
Noya has multiple vaults, each catering to a separate user intent profile.
Noya has multiple vaults, each catering to a separate user intent profile.
16/ @BrianknowsAI offers APIs which developers can integrate into their applications to provide users with the ability to generate web3 transactions by passing in their intents via prompts like "Can you swap 10 usdc for eth on Uniswap on Ethereum mainnet?"
17/ @ApertureFinance revolutionises DeFi by offering liquidity management services through a user-friendly protocol. It has an intuitive chatbox interface inspired by GPT, allowing users to express their goals in natural language.
18/ @FungiAgent leverages the power of smart accounts and AA to provide a self-custodial AI Agent experience.
It lets users instruct command prompts through its interface, it then processes real-time blockchain data and autonomously executes actions based on user’s instructions.
It lets users instruct command prompts through its interface, it then processes real-time blockchain data and autonomously executes actions based on user’s instructions.
19/ @FydeTreasury enables users to grow their crypto holdings faster by depositing into diversified AI-managed vaults that lock in gains and reallocate assets based on market performances.
Users can deposit various tokens into these vaults and receive $TRSY .
Users can deposit various tokens into these vaults and receive $TRSY .
20/ Potential for Growth:
In the upcoming AI & intent projects, the potential use-cases range from abstracting simple tasks to empowering AI agents to execute complex DeFi strategies to find you the best yield.
However there are two main challenges that these AI agents face.
In the upcoming AI & intent projects, the potential use-cases range from abstracting simple tasks to empowering AI agents to execute complex DeFi strategies to find you the best yield.
However there are two main challenges that these AI agents face.
21/
1. They can’t be truly autonomous:
Currently AI agents can recommend on-chain actions and prepare transactions for the user, but still need the user to sign these or approve.
1. They can’t be truly autonomous:
Currently AI agents can recommend on-chain actions and prepare transactions for the user, but still need the user to sign these or approve.
22/ 2. If they choose automation, they lose out on security:
Protocols tend to explore alternate solutions for automations, things like approvals, centralised vaults, shared private key pairs, etc that make protocols the custodials of your assets and introduces significant risk.
Protocols tend to explore alternate solutions for automations, things like approvals, centralised vaults, shared private key pairs, etc that make protocols the custodials of your assets and introduces significant risk.
23/ We need guardrails for AI so that it does not sign txs which it does not have the authority to.
Thus, we need a solution which can delegate transaction authorisation to AI agents, but only within specific permissions & rules.
Thus, we need a solution which can delegate transaction authorisation to AI agents, but only within specific permissions & rules.
24/ We’re solving for this at @biconomy . If you’re building the next generation of autonomous agents, do reach out to us - we’d love to chat!
Thanks for reading, if you want to read a longer and an in depth version of the thread, please refer to this link. And make sure to watch this space, something is cooking 👀
biconomy.io/post/ai-agents…
biconomy.io/post/ai-agents…
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