From data and training infrastructure to frameworks and launchpads, these projects are cultivating a bullish ecosystem for Crypto AI agents.
Let's dive into details 🧵
We spent 5 hours scanning and studying each project building in Crypto AI and Agentic AI so you don't have to.
Don't forget to bookmark this thread or RT for future reference! 🤌
🧠 AI Agent Frameworks:
- @ai16zdao's ElizaOS: multi-agent simulation framework based on Typescript
- @GAME_Virtuals: low-code toolkit, modular agentic framework by Virtual team
- @0xzerebro's Zerepy: open-sourced agent framework based on Python
- @arcdotfun: rust-based rig framework for AI agents
- @aetherdotfun's AetherOS: a framework to build agentic ecosystems and swarms that can work, learn and adapt to each other.
- @ReiNetwork0x: dual-layer architecture to connect AI and blockchain
🧠 AI Launchpads and AI App Stores:
- @virtuals_io: no-code AI Launchpad on Base
- @vvaifudotfun: a launchpad for AI agent token on Solana
- @daosdotworld: a launchpad for AI agent token on Base
- @vaporwarefun: native AI launchpad on Hyperliquid
- @CreatorBid: a platform to create and tokenize AI agents, AI launchpad on Base
- @HoloworldAI: Multimodal no-code AI agent launchpad & marketplace
- @myshell_ai: AI consumer layer
- @alchemistAIapp: a no-code platform to launch AI agents, agent marketplace on Solana
- @0xCapx: ETH L2, Capx Super App is a consumer app on Telegram for trading AI agent tokens, explore apps and earn rewards.
🧠 AI agents in DeFi (DeFAI or AiFi, whatever you call it)
These agents serve as abstraction layers for DeFi, executing on-chain transactions as Autonomous Trading Agents or as platforms specializing in DeFi AI agents, making DeFi simpler.
- @griffaindotcom: launch tokens, execute swaps, automate social actions, fetch data from other platforms
- @HeyAnonai: automatically execute DeFi actions based on pre-set parameters
- @neur_sh: DeFi trading copilot
- @askthehive_ai: agent interoperability, DeFi automatic and autonomous actions
- @orbitcryptoai: AI agent DeFi abstraction layer
- @polytraderAI: autonomous AI agent for Polymarket prediction market
- @AIWayfinder: AI tool specializing in finding blockchain pathways for optimal DeFi
- @Almanak__: agent-centric platform that allows users to build, train and manage financial strategies using AI Agents.
- @Cod3xOrg: a launchpad for personalized DeFi AI agents
- @getaxal: verifiable AI for every task
🧠 AI agents in Investment DAOs
These DAOs focus on making strategic investments. The winners here are the ones that can effectively execute (3,3) strategies and deliver strong PnL.
- @Vader_AI_: a venture capital focused on agents built by @VaderResearch
- @AimonicaBrands: meme and agent-focused waifu investor, backed by Animoca Brands on Solana
- @sekoia_virtuals: a venture capital agent built on Virtual
- @aixCB_Vc: venture capital for AI agents and DeSci.
- @wai_combinator: an agent-focused investment DAO on Base
🧠 AI agents in Gaming and Agentic Metaverse
These projects are exploring AI-powered games and metaverse where humans can interact with agents through reinforcement learning.
- @hyperfy_io: open-source engines, enabling self-hostable multiplayer worlds with real-time building, drag-and-drop tools, interoperable assets, and more.
- @infinityg_ai: multi-agent collaborative systems on Virtual. Its flagship game, Cat Academia, has self-evolving AI cats that can interact with human
- @avariksaga: Anime AI gaming ecosystem leveraging LLM
- @illuviumio: a Web3 game studio, partnering with Virtual to introduce sentient-NPCs/AI-NPCs into Illuvium games.
- @ARCAgents: a lab for AI agents in games, aims to use games as a sandbox for AGI. Its flagship game @aiarena_ with behavioral agents as gaming characters.
- @powpowfun: powered by @Moddio team, this virtual West World game features AI agents built on open-source models
🧠 Influence/KOL AI Agents
These agents can autonomously and automatically interact on socials. By gathering data from other sources and NLP, these agents can deliver alpha (insights, data synthesis, and analysis), being AI idols on TikTok and Twitter with personalities.
- Alpha-focused agents: @aixbt_agent, @Thales_ai, @trustme_bros, @unit00x0, @_AgentScarlett
- Social AI platform: @dolos_diary by @dolion_ai
- AI Idol: @luna_virtuals, @elizawakesup, @nebula_moemate
🧠 Other utility-specific AI agents
- Music/NFT and Art: @MusicByVirtuals, @0xzerebro, @nft_xbt, @BeatsOnBase
- Dev Utility Agents: @soleng_agent (Solutions Engineering and DevRel), @h4ck_terminal (white-hat AI agent), @CertaiK_Agent (AI smart contract auditing agent)
The Web3 AI agents would not be possible without a decentralized infrastructure.
These projects provide not only model training and inference but also data, verification methods, and a coordination layer for AI agents to develop on.
Let's study some of them👇
🧠 Decentralized Computing
- @AethirCloud: decentralized cloud compute infrastructure
- @ionet: decentralized computing network, offering low-cost, scalable clusters
- @rendernetwork: a decentralized global network of GPUs
- @akashnet_: a decentralized compute marketplace
🧠 Decentralized Model Training and Fine-tuning
- @NousResearch: a leader in the development of human-centric language models and simulators.
- @PondGNN: a decentralized AI model layer with crypto-native AI models trained on on-chain data.
- @PrimeIntellect: a platform to find global compute resources and train models through distributed training across clusters
- @flock_io: a world's first private AI training platform using federated learning and edge computing
- @BagelOpenAI: a platform to fine-tune & monetize AI models
- @bittensor_: a network of subnets to train and fine-tune AI models
🧠 Decentralized Data Layer
- @withvana: the first open protocol for user-owned training data for AI
- @SaharaLabsAI: a platform to create and monetize AI models, datasets and applications
- @getmasafi: decentralized AI network, where people earn by contributing data
- @navigate_ai: a decentralized intelligence app to earn from providing data
- @helloSQD: a lake of raw blockchain data
- @SpaceandTimeDB: a blockchain of ZK-proven data to build AI apps and DeFi
- @cookiedotfun: an index and data layer for AI agents
- @ChainbaseHQ: the largest omnichain data network for AI
🧠 AI Verification and Privacy
- @PhalaNetwork: a coprocessor for blockchains, providing TEE infrastructure for AI and DePIN
- @hyperbolic_labs: a platform to build verifiable, high-performance AI through open computes and inferences
- @OraProtocol: build verifiable AI interference
- @MarlinProtocol: TEE coprocessors for decentralized AI
- @nillionnetwork: a private computation network for data privacy
🧠 Coordination Layer and Swarms
- @TheoriqAI: a modular, and composable multi-agent system, enabling users to build, deploy, and earn via a community-governed AI agent marketplace.
- @joinFXN: AI-powered ecosystem, where agents dynamically interact with the world, users, and each other.
- @questflow: the orchestration layer for the multi-agent economy.
- @swarms_corp: a platform to build production-grade multi-agent systems with the swarms framework.
We might have missed some cool projects out there.
If you're building in the crypto AI agent landscape or prefer us to mention your favorite ones, feel free to shill them under the post.👇
We can't wait to explore more! 🙏
If you like this content, do follow us @PinkBrains_io and What's Up Crypto? 🧠 for more DeFi and Web3 Marketing insights.
ETH mindshare hit its rock bottom in 12 months (by @_kaitoai)
CT's attention has been dominated by "AI agents," which account for over 50%.
ETH hasn't broken its ATH for 3 years.
Is this the bottom signal? Will 2025 be the pivotal year for ETH? 🧠🧵
First up, let's wrap up why ETH so underperformed in the last year:
1. Competition from other blockchains like Solana and Base 2. L2 explosion and blob space with its Dencun upgrade, making ETH less deflationary. 3. Staking mindshare fades away with the point meta 4. The launch of Ethereum ETFs in the U.S. was initially expected to boost ETH's price, but ended up a disappointment. 5. Market sentiment changed quickly, Ethereum is experiencing an "identity crisis," with doubts about its potential as a store of value or internet money.
All led to a dead end: Lower network activity
Ethereum has struggled to regain its peak activity levels. Weekly transactions, which peaked at 11M in May 2021, have plateaued at around 9M.
Similarly, active weekly addresses have remained range-bound between 300K and 400K.
- Bitcoin passed $100K
- Total crypto market cap hit $3.91T
- Stablecoins' supply surged to $204B
- Spot BTC and ETH ETFs reeled in +$100B in under a year
- The U.S. ushered in its most pro-crypto Congress yet
Your 2024 Crypto Roundup 🧠
1/30
Let's go through some top topics around 2024:
- Macro Trends
- Crypto Policy
- Institutional Adoption
- Rise of Solana
- Memecoins
- Fundraising
- User Adoption
- DeFi
- DePIN
- Crypto x AI
Before we dive in, don't forget to bookmark this thread for further reference.
2/30
🧠 Macro Trends
- Legacy Markets: Despite fears of recession, inflation moderated, and the U.S. economy showed resilience.
The Fed began cutting rates, and the S&P 500 delivered a remarkable ~27% YTD return.
AI-driven productivity and a surge in gold demand became key macro themes, while energy prices remained stable despite geopolitical tensions.
$PENGU is the official token of the Pudgy Penguins NFT collection, featuring 8,888 adorable penguins.
Launched in 2021 on Ethereum, Pudgy Penguins initially faced challenges, but eventually have become the biggest wave of crypto adoption to the world.
• Acquired by @LucaNetz in 2022 for 750 ETH
• Brand revitalized → Pudgy Toys introduced at Target, Walmart, and Amazon
• Now the 2nd largest NFT project by market cap, just behind CryptoPunks
AI swarms—autonomous networks of agents working together across decentralized systems—are quickly becoming the next major shift in Crypto x AI.
What should you know about them? 🧠🧵
2/ Why AI swarms?
When AI agents work solo, their abilities are limited—they can't share resources, adapt, or tackle complex tasks.
Instead, picture a team of smaller specialized agents working together.
Each one handles a specific task, and as a team, they solve problems way more efficiently.
3/ How do AI swarms work?
These agents share data, learn from each other, and even adjust roles depending on the situation. It’s like a group project, where everyone actually pulls their weight.
Here are some interesting developments around AI Agents. The next wave is getting bigger 🧵
1/10
Solana-based AI Agents are bouncing back to their peers on Base.
The first AI Agent created by @ai16zdao, @degenspartanai is about to launch, and it is considered as @aixbt_agent on Base
The bullish point is that 8% of profits generated from ai16z fund will be used for $degenai buybacks, creating a flywheel effect as the ai16z ecosystem grows.
2/10
Fully Autonomous DeFi Agents driven by @modenetwork
Mode is the first L2 focused on AIFi with their AI Agent Stack, bringing AI agents into DeFi to autonomously trade, yield-farm, lend, borrow, and perform other complex actions.
Their AI Agent App Store is worth checking with some agents like ARMA (by @gizatechxyz) and Oladius (by @autonolas)