DeAI Project Directory
A living directory of decentralised AI projects, categorised by function. Compute, inference, data, agents, platforms and more. Every listed project links to a full review with freedom and returns scores.
Compute Networks
Networks that aggregate and distribute GPUGPUGraphics Processing Unit. Originally designed to render video game graphics, GPUs turned out to be exceptionally good at the massively parallel math that AI models need. Modern AI training and inference runs almost entirely on GPUs.Like a factory with 10,000 workers doing the same simple task in parallel, versus a CPU which is more like 10 workers each doing different complex tasks. AI training involves doing simple math a million times per second on a million numbers, which is exactly what the GPU factory is designed for.GPU in the glossary →/CPU compute for AI workloads.
| Project | TokenTokenA digital unit of value or access rights tracked on a blockchain. Tokens can represent ownership in a project, a right to use a service, a share of future revenue, or simply a tradable asset with no underlying claim.Like a physical poker chip a casino issues. The chip itself has no value. What makes it worth something is what it lets you do at the casino, what the casino has promised, and how much other people will pay you for it.Token in the glossary → | Status | Focus | Review |
|---|---|---|---|---|
| Akash Network | AKT | Active | Permissionless compute marketplace. Akash claims 50-85% savings against AWS. On-chain lease fees run in the low millions of dollars a year (DeFiLlama). | Full review |
| Render Network | RENDER | Active | GPU rendering and AI inference. OctaneRender moat, Hollywood adoption. Permissioned, proprietary core. | Full review |
| io.net | IO | Active | GPU aggregation from data centres and miners. Self-reported revenue now tracks near $12.5M annualised (DePINpulse), down from $20M+. 2024 Sybil attack history. | Full review |
| Nosana | NOS | Active | Solana-based GPU marketplace for AI inference. Nosana reports over 4M jobs run. No disclosed USD revenue. | Full review |
| Gensyn | AI | Active | MLMLMachine Learning. The branch of AI where systems learn patterns from data instead of being explicitly programmed with rules. Modern AI (LLMs, image generation, recommendation systems) is almost entirely machine learning.Like teaching a child to recognise dogs by showing them thousands of pictures of dogs, instead of writing down a precise rulebook for what makes a dog. The child learns the pattern from examples rather than from instructions.ML in the glossary → training verification via Proof-of-Learning. a16z-backed. $AI token live since April 2026; training mainnet pending. | Full review |
| Aethir | ATHATHAll-Time High. The highest price a token has ever reached. ATH is usually quoted as a reference point for how far the current price has fallen (or risen) since the peak.Like the record lap time on a racetrack. It tells you what the car has been capable of at its absolute best, not what it will do today. Whether that record gets broken again depends on conditions that may or may not come back.ATH in the glossary → | Active | Enterprise GPU cloud for AI and gaming. Large gross service fees, reproduced on-chain, with the protocol keeping about a fifth. Closed source. | Full review |
| Theta Network | THETA | Active | Decentralised cloud for AI, media and entertainment. Enterprise validators (Google, Samsung, Sony). | Full review |
| Flux | FLUX | Active | Fair-launched decentralised cloud. 7,024 nodes in Flux’s own node list. 0.7% team allocation. Mining since January 2018. | Full review |
| Golem | GLM | Active | The original decentralised compute network (2016). Permissionless P2P marketplace. 82% ICOICOInitial Coin Offering. A token sale where a project sells tokens directly to the public, usually before any product exists. ICOs dominated 2017-2018 funding and are now mostly replaced by airdrops, IDOs, or fair launches.Like a company selling shares to the public before going public, except with no SEC oversight, no audited financials, and often no product at all. The 2017 ICO boom showed why those guardrails exist in traditional finance.ICO in the glossary → distribution. Zero protocol revenue. | Full review |
| Phala Network | PHA | Active | Confidential computingConfidential ComputeHardware-enforced computation where data and code are encrypted in memory and only the authorised application can access them. The machine's operator cannot read what the application is doing even though they own the machine.Like renting space in a bank vault. The bank owns the building and runs the security, but what you put in the vault is invisible even to the bank staff. Only you have the key.Confidential Compute in the glossary → cloud using hardware TEEs. Data stays private from infrastructure providers. | Full review |
| FLock | FLOCK | Active | Decentralised AIDeAIDecentralised AI. An umbrella term for blockchain-based projects that build AI infrastructure (compute, data, inference, models, agents) without a single central provider controlling the system.Like the difference between streaming a movie from Netflix and sharing it via BitTorrent. Netflix is fast and polished but one company controls what you can watch and what you pay. BitTorrent is messier but no single operator can shut you out.DeAI in the glossary → training via federated learning on Base. NeurIPS-awarded. Protocol fees on DeFiLlama total about $1.2M all-time and have almost stopped. | Full review |
| NuNet | NTX | Active | SingularityNET spinout for decentralised compute orchestration on an Apache 2.0 stack. A compromised deployer key breached its 1B supply cap in September 2026. | Full review |
Intelligence and Platform Networks
Incentivised networks for AI model trainingTrainingThe one-time process of teaching a neural network to perform a task by showing it massive amounts of example data and adjusting its internal weights until the outputs are good. Training builds the model; inference uses it.Like the years an apprentice spends learning a trade. You don't see any of the actual work, just thousands of repeated mistakes gradually becoming competence. By the end, the apprentice can do the job. The training was invisible, but the skill is now permanent.Training in the glossary →, inference and coordination.
| Project | Token | Status | Focus | Review |
|---|---|---|---|---|
| Bittensor | TAO | Active | Incentivised AI subnet competition. 129 subnets registered on-chain. dTAO market-driven emissionsEmissionsNew tokens created and distributed by a blockchain protocol over time as rewards to validators, stakers, or miners. Emissions fund network security and participation at the cost of diluting existing holders.Like a company that pays employees partly in newly printed shares. Every year the total number of shares goes up, which means existing shareholders own a slightly smaller slice of the same company unless the company grows faster than the printing.Emissions in the glossary →. | Full review |
| NEAR Protocol | NEAR | Active | Sharded L1L1Layer 1. A base blockchain that runs its own consensus mechanism, executes transactions, and settles its own state. Bitcoin, Ethereum, NEAR, and Solana are all L1s. Anything built on top of an L1 is technically a Layer 2 or higher.Like the foundation of a building. Nothing else can exist on top until the foundation is solid. Different L1s make different tradeoffs for what kind of building they can support.L1 in the glossary → pivoting to AI. Co-founded by transformer paper co-author. Chain abstraction. A reported 46M monthly active users (May 2025) remains unverified. | Full review |
| Intelligent Internet | FC | Upcoming | Sovereign AI protocol with three-layer blockchain. Founded by ex-Stability AI CEO. Pre-launch. | Full review |
| Allora | ALLO | Active | Self-improving inference network using regret-based modelModelA trained neural network that takes inputs (text, images, audio) and produces outputs (more text, classifications, generated content). In DeAI the model is the thing that actually does the work.Like a very experienced apprentice who has spent years watching thousands of masters make furniture. They can't explain how they know when a joint is right, but they can make a chair that looks and functions like a Chippendale. The training is invisible. The output is what matters.Model in the glossary → aggregation on Cosmos SDKSDKSoftware Development Kit. A collection of code libraries, documentation, and tools that lets developers integrate a service into their applications without writing everything from scratch. SDKs are how projects become easy to build with.Like a plug-and-play kit for building furniture. You don't have to mill your own wood, forge your own screws, or design the joinery from scratch. The kit gives you pre-cut parts and instructions so you can assemble the thing in an afternoon.SDK in the glossary →. Zero verified revenue. | Full review |
| ORA | ORA | Dormant | opML oracle that stopped serving in September 2025; the team repointed the name at an AI trading-fund product that does not use the token. | Full review |
| Nous Research | Pre-TGE | Upcoming | US AI lab running the Psyche training network on Solana, with public checkpoints from its Consilience 40B run. No token yet; a $1B SAFT round led by Paradigm. | Full review |
| ZetaChain | ZETA | Active | Cross-chain L1 folding itself into Anuma, a private multi-model AI app. The encrypted memory is the strong part; the token’s link to it is a company-set credit grant. | Full review |
Agent Platforms
Platforms and protocols for building autonomous AI agents.
| Project | Token | Status | Focus | Review |
|---|---|---|---|---|
| Morpheus | MOR | Active | Personal AI agents on decentralised compute. Fair launchFair LaunchA token launch where everyone has the same access from day one. No private sale, no insider allocation, no VC discount. Tokens are distributed by mining, staking, or open public sale at a single price.Like a 100m sprint where everyone starts behind the same line at the same time. Some runners are faster, but nobody gets to start 10 metres ahead because they paid extra. The race is decided by the run, not by who bought the best position.Fair Launch in the glossary →. Power Factor stakingStakingLocking up a cryptocurrency to help secure a blockchain network, usually in exchange for rewards. The locked tokens act as a security deposit that can be taken away if the staker misbehaves.Like putting down a large rental deposit for an apartment. You get the money back if you behave, you earn interest while it's locked, and the landlord takes it if you trash the place.Staking in the glossary →. Compute marketplace live. | Full review |
| Olas | OLAS | Active | Multi-agent service framework across nine blockchains. Olas counts 20.9 million agent transactions but only $110.1K of lifetime marketplace turnover. | Full review |
| Fetch.ai / ASI Alliance | FET | Active | Autonomous economic agents. Merged with SingularityNET and CUDOS. Ocean withdrew October 2025. | Full review |
| Virtuals Protocol | VIRTUAL | Active | AI agent launchpad on Base. Virtuals markets 18,000+ agents; ~$75M cumulative fees, ~$42M kept by the protocol (DeFiLlama). Centralised GAME inference engine. | Full review |
| ElizaOS | ELIZAOS | Active | Widely used open-source AI agent framework in web3. 19,000+ GitHub stars; contributors fell from 583 to 355 by May 2026. | Full review |
| Warden | WARD | Active | Purpose-built L1 for AI agents with verifiable inference (SPEX). Still early, token down over 90% from its TGETGEToken Generation Event. The moment a project's token first becomes tradeable. TGE is when vesting clocks usually start, when liquidity hits exchanges, and when public price discovery begins.Like the IPO day for a startup. Everything that happened before TGE was private valuations and paper agreements. Everything after is the public market deciding what the thing is worth in real time.TGE in the glossary → high. | Full review |
| Giza | GIZA | Active | Autonomous DeFi agents on Base. Its ARMA and Pulse agents were retired in March 2026 and funds returned; on-chain assets under agents are now near zero. | Full review |
| OpenServ | SERV | Active | Agent SDK, an x402 services marketplace and an agent-token launchpad. The BRAID reasoning engine is closed and in private beta. | Full review |
| Heurist | HEU | Active | GPU mining network that pivoted to a marketplace of agent skills. Mining paused since January 2025, with insider vesting still active against a small float. | Full review |
Data Networks
Decentralised data sourcing, labelling, storage and knowledge for AI.
| Project | Token | Status | Focus | Review |
|---|---|---|---|---|
| Ocean Protocol | OCEAN | Active | Pioneered Compute-to-Data model. Withdrew from ASI Alliance October 2025. Live SDNY litigation over an alleged 286M FET conversion. | Full review |
| Grass | GRASS | Active | Bandwidth-sharing DePINDePINDecentralised Physical Infrastructure Networks. Protocols that use token incentives to coordinate real-world physical infrastructure like GPU compute, wireless networks, storage, mapping sensors, or bandwidth.Like crowd-sourced ride-sharing but for physical hardware. Uber incentivises drivers with dollars. DePIN incentivises hardware operators with tokens. The network grows because individuals choose to contribute capacity in exchange for rewards.DePIN in the glossary →. Grass claims 8.5M users, a figure with no independent check. Scrapes public web data for AI training. Entirely closed source. | Full review |
| Vana | VANA | Active | User-owned DataDAOs for personal data. Vana reports 1.3M+ users. Strong data sovereignty architecture. | Full review |
| Sahara AI | SAHARA | Active | AI blockchain with real data labelling product. $51.5M raised. Blockchain not yet live. | Full review |
| OriginTrail | TRAC | Active | Decentralised Knowledge Graph turning data into verifiable Knowledge Assets. Best tokenomics in DeAI, named enterprise partnerships. | Full review |
| Cookie DAO | COOKIE | Active | AI agent analytics platform. Indexes 1,500+ agents via cookie.fun. Centralised, zero open source. | Full review |
| Oasis Network | ROSE | Active | Privacy-first L1 with confidential smart contracts via TEE-powered ParaTimes. Best academic pedigree, but DeFi TVL still under $1M. | Full review |
| Walrus | WAL | Active | Mysten Labs’ decentralised storage network on Sui, with a memory layer for AI agents whose default mode is more centralised than its marketing implies. | Full review |
Privacy and Inference
Privacy-focused AI inference and model servingInferenceRunning a trained AI model to produce an answer. Inference is what happens when you type a prompt into ChatGPT and get a response. The model takes your input, computes a best guess, and returns it.Like asking an expert for their opinion. The training was the decades they spent becoming an expert. The inference is the 30 seconds it takes them to answer your specific question.Inference in the glossary →.
| Project | Token | Status | Focus | Review |
|---|---|---|---|---|
| Venice AI | VVV | Active | Privacy-first AI inference. Venice says it stores no conversations on its servers (unverified). Mostly self-hosted open-weight models, plus proxied closed ones. Stake VVV for DIEM inference credits. | Full review |
| Nillion | NIL | Active | Encrypted Markets: Covenants sealed on Ethereum until a condition is met, plus a blind-computation stack (MPCMPCMulti-Party Computation. A cryptographic technique where multiple parties jointly compute a function over their inputs without any party revealing its input to the others. Useful for shared computation on private data.Like a group of friends calculating the average of their salaries without anyone revealing their actual salary to the others. Each person contributes a piece of the answer, and the pieces combine into the result, but nobody learns anything except the average itself.MPC in the glossary →, homomorphic encryptionFHEFully Homomorphic Encryption. A cryptographic technique that lets you compute on encrypted data without decrypting it. The result is also encrypted, and only the data owner can read it. FHE is the strongest form of computational privacy.Like sending a sealed box of ingredients to a chef, having the chef cook a meal inside the box without ever opening it, and getting back a sealed box with the finished meal. Only you can unseal it and see what's inside.FHE in the glossary →, TEEs). Pre-revenue. | Full review |
| Sentient | SENT | Active | Open-source protocol for community-owned AGI with cryptographic model ownership (OML). $85M VCVCVenture Capital. Private investors who fund projects at an early stage in exchange for equity or token allocations. VC rounds are typically pre-launch, at steep discounts to any future public price, with multi-year vesting.Like angel investors in a startup who buy shares before the company goes public. They take more risk because the company might fail, so they get a better price. Once the company IPOs they can sell, and the public market pays whatever price it thinks is fair.VC in the glossary → seed round (July 2024), backed by Founders Fund and Pantera. | Full review |
| AntSeed | ANTS | Active | Peer-to-peer AI inference marketplace with no pre-mine: ANTS is emitted to network users each week. Token transfers are still switched off. | Full review |
DePIN and Machine Economy
Networks connecting physical infrastructure and machines to AI.
| Project | Token | Status | Focus | Review |
|---|---|---|---|---|
| peaq | PEAQ | Active | L1 for the Machine Economy. peaq counts 60+ DePINs. Machines as economic participants. Minimal revenue. | Full review |
| IoTeX | IOTX | Active | EVM-compatible L1 for DePIN and real-world AI. Device identity (ioID), ZK-verified data. 7+ years mainnet. | Full review |
| Auki | AUKI | Active | Spatial-computing DePIN built on the posemesh. Its Cactus retail product is live and billed in USD; the reconstruction node network is in closed beta. | Full review |
| Openmind | ROBO | Active | OM1 robot runtime live on Unitree, UBTech, Agibot and Fourier hardware. The FABRIC coordination layer is mostly forward-dated; ROBO bonds while USDC settles. | Full review |
Local and Personal AI
Tools for running AI on your own hardware. No tokens, just software.
| Tool | Type | Platform | Notes |
|---|---|---|---|
| Ollama | Model runner | Mac, Linux, Windows | Easiest way to run local models. OpenAI-compatible APIAPIApplication Programming Interface. A structured way for one piece of software to talk to another. In DeAI, APIs let applications request inference from a model without running the model themselves.Like a waiter in a restaurant. You don't walk into the kitchen and cook your own meal. You tell the waiter what you want, they tell the kitchen, the kitchen cooks it, and the waiter brings it back. The API is the waiter.API in the glossary →. |
| LM Studio | Model runner + UI | Mac, Linux, Windows | GUI for downloading and running local models. |
| llama.cpp | Inference engine | All platforms | C++ inference engine. Maximum control and performance. |
| Open WebUI | Chat interface | Web (self-hosted) | ChatGPT-style interface for local models. |
| Agent Zero | Agent framework | Docker | Open-source autonomous agent. Works with any OpenAI-compatible API. |
How to use this directory
This is a starting point, not investment advice. All 34 token projects listed above have full reviews using our six-point framework with both a freedom score and returns score.
The dashboard at /projects/ shows all scores, grades and quadrant positions at a glance.
Wondering why a particular project isn’t here? The inclusion criteria page explains the gate every project has to clear.
Additions, corrections and suggestions: reach out on X (@ownyourmindai).
Read next
Resource
Freedom Score Methodology
How we assess decentralisation in AI projects. Six dimensions, scored criteria, and why the exact number matters less than the reasoning behind it.
Resource
Returns Score Methodology
How we assess whether a DeAI token captures value from its protocol. Five dimensions, scored criteria, and why the exact number matters less than the reasoning behind it.
Resource
The Quadrant Model
How we position DeAI projects on two axes: Freedom Score and Returns Score. Four quadrants, what each means, and why both dimensions matter.