Talus Network: Infrastructure Innovators towards the "Ail Age of the Whole Chain"
The Talus Test Network has attracted over 35,000 users and its air drop programme is ongoing
Source: Talus Community Lovers
01 PROJECT POSITIONING: FILLING THE DECENTRALISED AI INFRASTRUCTURE GAP
Currently, most of the "AI+Crypto" projects use the "CryptoCalculation on the Chain" model, which is efficient, but the AI decision-making process itself is a "black box" and it is not possible for the outside world to verify whether it follows preset rules
The path "on the whole chain" proposed by Talus Network is completely different. It aims to use all the logic, state and decision-making steps of AI agents as part of a smart contract, directly executed and recorded on the block chain
THIS STRUCTURE OFFERS REVOLUTIONARY PROBABILITIES, AND BECAUSE OF THE OPEN TRANSPARENCY OF THE BLOCK CHAIN AND THE NON-REMOVABLE CHARACTER, ANYONE CAN AUDIT THE ENTIRE HISTORICAL BEHAVIOUR OF AI AGENTS AND THE BASIS FOR DECISION-MAKING, THEREBY BUILDING "MATHEMATIC TRUST" THAT DOES NOT REQUIRE TRUST IN THIRD-PARTY OPERATORS
02 Technical architecture: multi-layer coordinated engineering realization
The Talus technology warehouse consists of multiple teamwork components, which together constitute an efficient and safe decentrized AI proxy platform
Bottom infrastructure
The core of Talus is based on the Proof block node of Cosmos SDK and CometBFT, known as Protochain Node, which provides flexibility, greatness and high performance and provides a solid foundation for the operation of smart agents
At the level of smart contracts, Talus uses Sui Move as the smart contract language, Move is known for its high performance, security and program design attributes, which enhances the logical security of the chain and simplifys the creation, transfer and management of digital assets
Integration of resources across and under chains
Talus has also introduced IBC cross-link communication protocols, which achieve seamless interoperability between different block chains, enabling smart agents to interact across multiple block chains and use data or assets
In the face of the gap between the high computing needs of the AI process and the block chain environment, Talus introduced the mirror object concept, which is used to express and validate resources under the chain, such as models, data and computing objects, to ensure the uniqueness and tradability of resources
Smart agent core characteristics
Through the Talus AI technology vault, developers can create smart agents with four key characteristics:
Autonomy:It can run without continuous manual guidance and make decisions based on its programming and learning
Social skills:We can communicate with other agents (including humans) to accomplish our mission
Reactive:Perceptible environment and timely response to change
Active:Enabling initiatives based on objectives, projections
03 Ecological progress: testing network launch and early application landing
In September this year, Talus Network launched a public testing network and launched its first application, Idol.fun, a platform that allows users to interact with decentrized virtual icons
THIS APPLICATION HAS A DUAL ROLE: ON THE ONE HAND, AS PROOF OF CONCEPT, VISUALIZING THE FUNCTION OF "AI AGENTS ON THE CHAIN" AND, ON THE OTHER HAND, AS A WEB-LED GUIDE, ENGAGING EARLY USERS IN TESTING AND BUILDING INITIAL TRANSACTIONAL AND COMMUNITY BASES FOR THE NETWORK
In terms of financing, Talus Network completed the first $3 million in February 2024, with Polychain Capital taking the lead, and then the next $150 million in strategic rounds in November, with the participation of several prominent investment institutions
The project team is led by Chief Executive Officer Mike Hanoun and Chief Operator Ben Frigon, who have extensive experience in the area of block chains and AI
04 Challenges and prospects: key tests on the road to commercialization
Despite the big vision of technology, Talus Network faces three major challenges on the road to commercialization
Technical feasibility and cost-effectiveness
THE BIGGEST OBSTACLE FACING "AI ON THE WHOLE CHAIN" IS HOW TO REDUCE THE CALCULATION COSTS TO A COMMERCIALLY ACCEPTABLE RANGE WHILE ENSURING DECENTRIZATION AND VERIFIABILITY
Even on a high-performance public chain like Sui, the operating costs of a complex AI agent may be much higher than those of a lower-chain scenario, which will significantly limit its application
Competition and differentiation in the market
The area of "decentralization AI agents" is not entirely new, and projects such as Fetch.ai, Olas (Autonolas) already exist in the market, more often using a hybrid model of "under-chain computing + chain coordination/settlement" and more advantageous in performance and cost
Talus' "full chain" path must prove that in a given scenario, the "trust advantage" is sufficient to offset its performance and cost disadvantages
Value capture and ecological construction
Talus' tokens will be used for network governance, payment for agency assignments, etc. The effectiveness of value capture depends directly on success in stimulating a large and active developer and AI proxy ecology
In the early stages of the project, how to design effective incentives to guide the formation of network effects will be a key test for its currency economic model
Currently, the Talus testing network has attracted over 35,000 users, and its air drop programme is in progress
Industry observers are looking closely at whether Talus can really start a new era of decentrization of AI agents by striking a balance between technological ideals and commercial viability
This paper is from a contribution and does not represent the point of view of Block Beats。
📅Published：2025/12/06 00:08
🔄Updated：2025/12/06 00:08
🔗Source：BLOCKBEATS