AI remains one of crypto’s strongest narratives in August 2026, but the market has evolved far beyond simple “AI tokens.” The most interesting projects now sit across different layers of the stack: decentralised compute, AI agent infrastructure, privacy-preserving AI, expert data labelling, and AI-native payment rails.
This month, the sector continues to attract capital into infrastructure-heavy projects tied to real AI demand rather than pure speculation. The five tokens on this list represent distinct parts of the AI stack; from foundational compute networks to agent identity and data pipelines.
| Token | Core Theme | Why It Stands Out Now |
|---|---|---|
| Sentient (SENT) | Open-source AI and AGI coordination | Sentient launched a $42 million programme to fund open-source AI research, infrastructure and applications |
| Kite AI (KITE) | Payments and identity for autonomous AI agents | Kite’s live infrastructure now supports cross-chain agent payments, x402 transactions and programmable spending controls |
| Holoworld AI (HOLO) | AI characters, content and agentic applications | Holoworld combines AI video creation, virtual characters and an AI-native launchpad in a creator-focused ecosystem |
| OpenLedger (OPEN) | Verifiable AI data and attribution | OpenLedger tracks how data contributes to AI outputs and is designed to reward dataset and model contributors |
| Acurast (ACU) | Smartphone-powered confidential AI compute | Acurast is testing AI inference and autonomous-agent execution across a global network of hardware-attested smartphones |
Sentient is an open-source AI ecosystem focused on building reasoning systems, models and tools that remain publicly accessible rather than controlled by a single company. Its research and product stack includes agent-development tools, model-ownership technology, open reasoning systems and the GRID, where AI models, data, agents and frameworks can interact.
SENT acts as the ecosystem’s coordination token. It is designed for staking, governance, network fees, payments and rewarding contributors who build or improve open-source AI products. Sentient has a total supply of approximately 34.36 billion SENT, with 65.55% allocated to community initiatives, ecosystem development, research and the public sale.
Sentient stands out because it is positioning itself around open-source AI ownership, rather than only providing compute or launching another general-purpose AI agent.
In June 2026, the Sentient Foundation committed $42 million to an Open Source AGI Grant and Investment Program. The programme supports developers, researchers, public-goods projects and companies building open AI infrastructure and applications. Sentient has also released products and research related to agent improvement, AI reasoning and cryptographic model ownership.
This gives SENT exposure to a wider open-AI ecosystem in which the token may be used to fund initiatives, access AI artifacts, participate in governance and pay for models, agents and data services.
Key risk: SENT has a very large total supply, and community and ecosystem allocations continue vesting over several years. The team’s 22% allocation has a one-year cliff followed by six-year linear vesting, while the 12.45% investor allocation has a one-year cliff followed by four-year vesting. The token also has annual emissions of up to 2% from its community allocation. Even with long vesting schedules, growing circulating supply may create persistent dilution unless network usage expands alongside it.
Kite AI is an EVM-compatible Layer-1 blockchain designed specifically for autonomous AI agents. It combines agent identity, programmable permissions and payment infrastructure so that AI agents can independently purchase services and make payments while remaining subject to limits established by their owners.
Its Agent Passport system is intended to give agents verifiable identities and controlled access to wallets, services and payment sessions. KITE is the network’s native token and is designed for staking, governance, ecosystem access, incentives and module liquidity. The token has a maximum supply of 10 billion KITE.
Kite stands out because it is building the payment and identity layer for the agent economy, an area that becomes more important as AI agents move from generating answers to independently purchasing services and executing tasks.
During July 2026, Kite released cross-chain payment routing across Base, Tempo and Solana, expanded end-to-end x402 payment support and added Robinhood Chain integration. It also introduced features for passkey approvals, spending sessions, merchant fee estimates and programmable controls over how much an agent can spend.
These releases make Kite more than a conceptual AI-agent blockchain. Its infrastructure is already being developed around practical problems such as agent authentication, wallet permissions, cross-chain settlement and machine-to-machine micropayments.
Key risk: KITE’s value-capture model depends on autonomous agents generating significant payment and AI-service activity. The tokenomics propose converting part of stablecoin-denominated protocol revenue into KITE, but the effectiveness of this mechanism depends on real transaction volume. The total supply is also distributed across ecosystem and community incentives, modules, investors, and the team and advisors, leaving substantial future distribution and dilution risk.
Holoworld AI is an agentic application ecosystem for creating virtual characters, AI-generated videos, interactive intellectual property and AI-native applications.
Its product suite includes Ava Studio, which allows users to create characters and convert text into AI-generated video, and HoloLaunch, a launchpad through which creators can run presales or fair launches for AI-native projects and intellectual property. Holoworld also provides APIs and developer tools for creating, hosting and integrating AI characters into external applications.
HOLO is the ecosystem token used for participation, staking and incentives across Holoworld’s applications.
HOLO stands out because it gives investors exposure to the consumer and creator side of the AI-agent market.
Most AI crypto projects focus on underlying infrastructure such as compute, payments or data. Holoworld instead focuses on products that ordinary creators can use to build characters, videos, interactive experiences and AI-native intellectual property.
The project reports more than one million users, over 700,000 creations and more than 35 million interactions across its ecosystem. Ava Studio provides an active creative product, while HoloLaunch adds an economic layer through which creators can raise funds and design rewards or royalties for AI-native projects. These figures are project-reported and have not been independently audited.
Key risk: HOLO has a total supply of 2.048 billion tokens, while only approximately 16.96% was initially circulating at launch. The remaining allocations are released under different vesting schedules, creating ongoing dilution risk. Holoworld must also prove that user activity in its creative tools produces sustained demand for HOLO rather than demand only for platform credits or individual applications.
OpenLedger is an AI-focused blockchain designed to make data, specialised models and AI outputs traceable and monetisable.
Its ecosystem is built around community-owned datasets called Datanets. Users can create datasets, contribute data and use them to train specialised AI models. OpenLedger’s Proof of Attribution system is designed to track which data and models influenced an AI-generated result so that contributors can receive credit and rewards when their work is used.
OPEN is the network’s native token. It has a fixed total supply of one billion tokens and is designed for gas payments, governance, contributor rewards, bridging and AI-agent staking.
OpenLedger stands out because it addresses one of the most difficult questions in generative AI: who should be credited and compensated when an AI model uses contributed data?
Traditional AI systems often provide limited transparency into which datasets influenced an output. OpenLedger attempts to record dataset contributions, model training and attribution on-chain, allowing rewards to be distributed according to measurable influence.
The ecosystem combines Datanets, specialised models and an EVM-compatible Layer-2 network. Its public infrastructure includes a Studio API and Attribution Engine, showing that the project has moved beyond a token-only AI narrative and is developing tools through which datasets and models can be created and used.
Key risk: OpenLedger must prove that its attribution system is accurate, scalable and valuable enough for AI developers to adopt. Tracking influence across complex models and large datasets is technically difficult. In addition, parts of OpenLedger’s token-utility documentation remain marked as work in progress and subject to change. Investors should verify which proposed utilities are already active and which remain dependent on future development.
Acurast is a decentralised compute network that uses smartphones as secure processing nodes. Developers can deploy applications and AI workloads across a global network of mobile devices rather than relying entirely on conventional data centres.
Acurast uses Trusted Execution Environments built into supported smartphones to isolate workloads and protect sensitive data from device operators. Its use cases include confidential AI inference, autonomous agents, blockchain automation, data processing and secure key management.
ACU is the network’s native token and is used for transaction fees, compute payments, staking, rewards for compute providers and protocol governance.
Acurast stands out because it connects the AI and DePIN narratives through a readily available source of hardware: smartphones.
In June 2026, Acurast, Pocket Network and NodeGhost tested a decentralised AI gateway running inference and web-search workloads on hardware-attested Android devices. During the one-hour test, requests were sent every 30 seconds without a reported failure. The project described this as an early experiment rather than a completed commercial deployment.
In July 2026, Acurast also announced an exploration with Teneo focused on running autonomous AI agents inside confidential smartphone-based execution environments. At the time, Acurast reported more than 270,000 onboarded devices across over 175 countries and more than 889 million on-chain transactions. These figures come from the project itself.
Key risk: Acurast must prove that smartphone-based compute can compete with conventional servers and GPU networks across performance, reliability and cost. ACU also has fixed annual inflation of 5%. The team and advisor allocation represents 24% of the initial supply and begins vesting after a six-month lock-up over 36 months, while several community, treasury and backer allocations also vest over time. These emissions and unlocks may create selling pressure if compute demand does not grow quickly enough.
As always, AI crypto remains highly volatile. Narrative strength can drive explosive upside, but the projects most likely to hold their ground are the ones solving real infrastructure problems with working protocols. Risk management matters as much as conviction.
To keep building your crypto knowledge, explore more token guides and market insights on Mudrex Learn, or watch beginner-friendly explainers and market breakdowns on the Mudrex YouTube channel.
SENT, KITE, HOLO, OPEN, ACU are among the most closely watched AI-related crypto projects this month, spanning compute, data, memory, and agent payment infrastructure.
Decentralised compute and AI agent infrastructure remain the strongest sectors. Projects with real working protocols, institutional backing, and specific product catalysts are better positioned than pure narrative plays.
FHE is a cryptographic approach that allows computation on encrypted data without revealing the underlying information, making it highly relevant for confidential AI applications.
