Unchained Intelligence: Tria Revolutionizes AI Enabled Abstraction Across Blockchain Ecosystems
February 4th, 2025

In the rapidly evolving landscape of artificial intelligence (AI) and blockchain, significant challenges hinder AI agents from deploying and operating effectively. A notable issue is the structural limitation imposed by agents developed on frameworks such as Virtuals, Eliza, Alax, VvAifu, Top Hat, CreatorBID, and others. These agents are predominantly constrained by single-chain architectures, which limits their scalability and interoperability. Agents developed on these frameworks are restricted to acquiring capital and interacting with investors within the boundaries of their specific deployment chain. This, in effect, creates a growth bottleneck and restricts their interaction scope to applications, protocols, and agents within the same chain, severely constraining their liquidity access.

Problem Statement

At the heart of this challenge lies a structural flaw: modern AI agents are designed for single-chain ecosystems. Single-chain constraint creates a multitude of challenges, including inefficiencies in liquidity access, reduced interoperability between different blockchain ecosystems, and heightened risk associated with centralized developer control.

Their inability to natively coordinate multi-chain operations — whether for capital acquisition, liquidity optimization, or resource orchestration — creates inefficiencies that ripple across decentralized markets. Developers face an impossible tradeoff: build narrowly focused agents optimized for single networks or sacrifice performance and security for cross-chain flexibility.

Current Challenges With AI Ecosystems
Current Challenges With AI Ecosystems

The current framework for AI agent development not only stalls innovation through liquidity and blockspace fragmentation, but also raises concerns around security and trust. This is specifically concerning investment-oriented agents that require robust, secure operations across different chains and ecosystems.

Enter Tria, a groundbreaking infrastructure layer redefining chain and AI abstraction. By decoupling agent intelligence from blockchain-specific complexities, Tria enables a new paradigm where AI systems autonomously discover, collaborate, and optimize across all major virtual machines (VMs) — EVM, SVM, Move-VM, Cosmos, and beyond.

Tria’s Vision: Unleashing Borderless AI Agent Innovation

Tria’s tech is at the forefront of chain and AI abstraction, creating comprehensive solutions for AI agents to interact with, and transact across a broad range of chains and ecosystems. Tria’s tech infrastructure, including BestPath AVS, TriAI Framework and CoreSDK, enable AI use cases across agentic operations, liquidity optimization, and resource orchestration across all chains and ecosystems.

Tria serves developers and enterprises with the tools needed to build and deploy intelligent, autonomous systems that can efficiently manage capital, execute complex transactions, and orchestrate cross-chain operations. This convergence addresses the growing demand for automated, secure, and scalable AI solutions for on-chain trading that eliminates traditional barriers to entry.

At the core of Tria’s infrastructure for AI development are three fundamental pillars that enable a nascent approach to on-chain capital management for AI agents, liquidity optimization, and resource orchestration:

  1. BestPath AVS: Cross-Chain Liquidity Access without human intervention

  2. TriAI Framework: Agent-to-Agent Resource Orchestration for seamless transaction.

  3. CoreSDK: Non-Custodial Wallets with On-Chain Permissioning and Automation

BestPath AVS: Enables Agents to Access Cross-Chain Liquidity Without Training on Specific Chains

BestPath AVS enables agents to seamlessly interface with liquidity, dApps, and protocols across all VMs, including EVM, SVM, Move-VM Cosmos, and more. This allows agents to interact seamlessly with ecosystems without needing to train chain-specific heuristics, custom deployments, or manual integrations.

The underlying BestPath AVS dynamically guarantees the most efficient route for liquidity and intent execution, leveraging Pathfinders. This results in cross-ecosystem efficiency while significantly reducing complexity and operational overhead.

BestPath AVS: Permissionless Chain Abstraction, Intents Marketplace and AI Enabled Solvers
BestPath AVS: Permissionless Chain Abstraction, Intents Marketplace and AI Enabled Solvers

Tria’s BestPath AVS allows AI-enabled agents to revolutionize cross-chain transactions by automating intent execution with precision and efficiency. When a user submits their intent — whether it’s a transfer, DApp interaction, or complex cross-chain operation — agents act as Pathfinders, rapidly analyzing dynamic market conditions and simulating multiple execution paths through BestPath AVS.

Operating competitively, these agents propose different strategies by evaluating cost, speed, and security parameters. A merit-based selection mechanism ensures the most efficient solution is autonomously executed, handling cross-chain coordination, liquidity sourcing, transaction sequencing, and security protocols seamlessly, without user intervention.

Agentic Swarm Flow With BestPath AVS
Agentic Swarm Flow With BestPath AVS

Integrating BestPath AVS with agents delivers immeasurable ecosystem benefit, streamlining cross-chain operations with cost and speed optimization and giving developers access to unified liquidity and simplified integration tools. This system also adapts in real time, continuously improving as agents refine strategies through accumulated insights across multiple transactions.

Underpinned by Tria’s BestPath AVS, the architecture abstracts chain-specific complexities while leveraging Agent’s advanced decision-making capabilities. Agents analyze market dynamics, predict optimal routes, and execute intricate transactions autonomously, representing a transformative leap in cross-chain interoperability. By combining intelligent AI with robust infrastructure, the system ensures secure, efficient, and scalable transaction management.

Other Use Cases:

  • DeFi Across Chains: Agents can facilitate real-time cross-chain payments by routing user transactions through the fastest and cheapest paths, enabling efficient execution of DeFi strategies like trades across allVMs.

  • Yield Optimization: Agents can dynamically move liquidity across chains to maximize Annual Percentage Rates (APRs), reallocating between various platforms with minimal latency.

  • Cross-Chain Arbitrage/DeFi: Agents can execute multi-chain swaps by identifying price inefficiencies across decentralized exchanges (DEXs) in real-time.

  • Flash Loan Execution: Agents can execute complex flash loan operations involving borrowing from one chain, executing arbitrage or liquidation strategies on another, and repaying on the originating chain, all in a single seamless operation.

  • DAO/Investment Agent Treasury Diversification: DAOs or institutional agents can use the platform to diversify their treasury holdings across multiple chains and ecosystems, rebalancing allocations automatically based on market conditions.

TriAI Framework: Enables Agentic Swarm Orchestration Across Multiple Chains

Tria’s CoreSDK represents a significant leap forward in the realm of blockchain interoperability and decentralized agent coordination.

TriAI Framework, a part of Tria’s CoreSDK, enables agentic swarm orchestration across multiple chains, addresses critical challenges in resource allocation, intent-driven collaboration, and transactional workflows.

This innovation enables a new paradigm of decentralized systems where agents — either human-operated or autonomous — can interact seamlessly, efficiently, and trustless-ly across different blockchain networks. Agents operating on different chains can also directly settle resources or payments with one another in real-time, creating an efficient agentic marketplace for complex, multi-party interactions.

TriaAI Framework — Overview
TriaAI Framework — Overview

Other Use Cases:

  • DeFi Across Chains: Agents can facilitate real-time cross-chain payments by routing user transactions through the fastest and cheapest paths, enabling efficient execution of DeFi strategies like trades across allVMs.

  • Yield Optimization: Agents can dynamically move liquidity across chains to maximize Annual Percentage Rates (APRs), reallocating between various platforms with minimal latency.

  • Cross-Chain Arbitrage/DeFi: Agents can execute multi-chain swaps by identifying price inefficiencies across decentralized exchanges (DEXs) in real-time.

  • Flash Loan Execution: Agents can execute complex flash loan operations involving borrowing from one chain, executing arbitrage or liquidation strategies on another, and repaying on the originating chain, all in a single seamless operation.

  • DAO/Investment Agent Treasury Diversification: DAOs or institutional agents can use the platform to diversify their treasury holdings across multiple chains and ecosystems, rebalancing allocations automatically based on market conditions.

CoreSDK: Backbone Of Non-Custodial Wallets with On-Chain Permissioning and Automation

Agents leveraging Tria’s CoreSDK are equipped with threshold signature scheme (TSS)-based MPC wallets, enabling non-custodial management of cross-chain assets and chain agnostic operations.

CoreSDK leverages Lit Protocol’s cryptographic infrastructure, establishing on-chain programmable and permissioning frameworks for granular access controls: multi-signature authorization thresholds, automated execution triggers, and role-based security invariants.

This architecture ensures AI-driven decisions — smart contract interactions, liquidity rebalancing, or payment settlements — translate to trustless, auditable on-chain actions without intermediaries.

CoreSDK — Agent Workflow
CoreSDK — Agent Workflow

Addressing the critical challenge in the AI Agent space, “How can developers be responsibly entrusted with an Agent’s wallet?”

CoreSDK framework utilizes Trust Execution Environments (TEEs) to store cryptographic keys securely ensuring that Agent owners maintain control without tampering from developers.

Trusted Execution Environments are tamper-proof, this means anyone can verify that an agent can only perform specific predefined actions, and no updates can be made without proper permission. This approach is critically important for investment-oriented agents, as developers cannot maintain backdoor access to agent actions. “Human-in-the-loop” mechanisms can be implemented using threshold signing for critical actions.

Using the CoreSDK, Agent’s wallet is engineered to shield AI Agents from unauthorized alteration or interference by the developer. This ensures the Agent owner or another entity retains absolute custodianship of the Agent’s assets. By decoupling ownership from execution, the design guarantees that funds cannot be misappropriated by the any developer, even as they carry out the Agent’s predefined intents and operations.

Agent owners/ developers can set up guardrail policies for these agents, controlling actions like spending limits, time locks, or requiring human approval for certain transactions. The upcoming articles will talk more about specific usage of TEEs and integration of agent wallet in depth and how Tria’s leveraging TEEs and agentic-wallet architecture for solving various issues on-hand.

CoreSDK — Use-cases (via Agents)
CoreSDK — Use-cases (via Agents)

Few Use Cases:

  • Autonomous Market-Making: Agents can manage liquidity pools, automatically rebalance based on price movements, and execute swaps without relying on centralized relayers. Tria’s MPC-based wallets enable agents to manage liquidity pools across decentralized exchanges (DEXs) without relying on centralized intermediaries. The use of threshold signatures allows for autonomous execution of rebalancing strategies based on real-time price feeds from on-chain oracles.

  • Treasury Management for DAOs: DAO governance votes are encoded into threshold signing policies via CoreSDK, requiring consensus from a subset of signers for treasury actions (e.g., staking, asset diversification). Funds are held in MPC wallets with multi-chain support, enabling cross-chain yield farming. CoreSDK enforces governance-triggered rules, such as time-locked withdrawals or whitelisted recipient addresses, ensuring compliance with DAO constitutions.

  • Automated Payments for Subscription Models: Programmable TSS actions can handle recurring payments for subscription-based services, such as blockchain infrastructure providers or decentralized storage solutions, ensuring consistent and timely payments. For fail-safe handling, transactions require fallback approvals via human-in-the-loop guardrails if anomalies (e.g., abnormal gas fees) are detected.

As we move toward a future where blockchain ecosystems operate as a whole, the importance of abstraction and interoperability becomes increasingly evident. Tria’s innovative AI enabled chain abstraction infrastructure stands at the forefront of this transformation, offering a comprehensive solution to the limitations faced by traditional AI agents.

By enabling AI agents to transcend single-chain constraints, interact across diverse ecosystems, and perform complex transactions with precision and security, Tria is shaping the next generation of Web3 applications.

Tria’s BestPath AVS and CoreSDK have established a robust framework for AI agents to interact seamlessly with multiple blockchain networks, enabling advanced use cases such as autonomous market-making, cross-chain liquidity optimization, and agent-to-agent resource orchestration.

These solutions not only address the complexities of blockchain fragmentation but also set a new standard for secure, efficient, and scalable AI integration in Web3 ecosystems.

Stay tuned as we delve deeper into each of these subtopics in our upcoming series, where we will explore the technical implementation details, real-world applications, and the measurable impact of Tria’s solutions on industries ranging from DeFi to enterprise systems.

Make sure to follow @useTria for upcoming AI-series and more in-depth technical articles/updates as we work together to build an AI enabled abstracted future.

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