🏗️Core Concepts
The Vishwa Architecture
Vishwa's architecture consists of three interconnected layers that work together to enable trustless, optimal cross-chain asset orchestration. Think of it as a complete system where intelligence, execution, and verification work in harmony.
The "Brain": Intelligent Orchestration Hub
The Intelligent Orchestration Hub serves as your intelligent credit co-pilot—translating natural language intents into multiple optimal strategy options, while keeping you in full control of the final decision.
Natural Language to Strategy Options: Simply describe your goals in plain English: "Determine the maximum credit line available using 1,000 BTC & $10M tokenized T-bill as collateral - without selling or custodial risk."
The Orchestration Hub then:
Analyzes your assets and requirements including your preferred duration, interest rate targets, and other lending metrics
Discovers multiple strategy options by evaluating different combinations of protocols, terms, and collateral allocation
Presents alternatives with different metric focus: higher funding vs. lower rates, shorter terms vs. longer commitments, etc.
Provides complete transparency for each option: exact collateral allocation, projected costs, execution timeline, and risk assessment
Live Performance Metrics：The Active Borrowers Dashboard shows the Hub's performance in action across our liquidity options.
The "Action": Apollo Credit Layer
The Apollo Credit Layer is Vishwa's self-custody execution engine—where your assets remain under your control while complex strategies execute automatically.
Key capabilities:
Native asset locking: Using advanced cryptographic primitives like Hash Time-Locked Contracts (HTLCs), you can lock assets on their native chains (like Bitcoin) without transferring custody
Cross-chain coordination: Your locked assets can participate in strategies across other chains while never leaving their original blockchain
Conditional execution: Strategies only execute when all predefined conditions are satisfied across participating chains.
📖 Want to dive deeper into the technical details? Read our complete Apollo Credit Layer specification →
Example:Lock BTC on Bitcoin L1 to participate in over-collateralized lending on Ethereum, all while your Bitcoin never leaves the Bitcoin blockchain.
You might wonder: if the BTC is locked on Bitcoin, how can it serve as collateral for lending on Ethereum? The answer lies in our Voyager ZK Network, which we'll explore in the next section.
The "Communication": Voyager ZK Network
The Voyager ZK Network is Vishwa's trustless messaging and verification backbone—eliminating the need for trusted bridges or centralized validators.
Through the design of scalable ZK lite client, Voyager:
Verifiably proves asset locking status across different chains
Enables trustless communication between previously incompatible blockchain networks, especially unlocking the interoperability of native Bitcoins with other turning complete chians.
Eliminates bridge risks by providing cryptographic proof rather than relying on trusted intermediaries
Maintains privacy while ensuring full transparency of asset states and strategy execution
The result: Chains can trustlessly verify the state of your assets on other chains, enabling complex cross-chain strategies without custody risks or bridge vulnerabilities.
The Orchestration Loop
A simple, intelligent loop that empowers any user or agent to achieve complex goals.
From Intent to Verifiable Outcome
The Orchestration Loop represents the core innovation of Vishwa's architecture—transforming high-level user intents into mathematically verifiable cross-chain outcomes. This intelligent system eliminates the complexity of multi-chain coordination while ensuring complete transparency and trustlessness.
The Five-Step Process
1. Intent → User/Institution & Delegated Customized Agent
The process begins when a user or institution expresses their goal to a delegated, customized agent. This could be anything from "optimize my DeFi yields across chains" to "rebalance my portfolio while maintaining specific risk parameters." The agent understands context, preferences, and constraints specific to each user.
2. Query → Omni-chain Query via Vishwa API
The system performs comprehensive queries across all relevant blockchain networks through the Vishwa API. This step gathers real-time data about asset positions, market conditions, protocol states, and available opportunities across the entire multi-chain ecosystem.
3. Strategy → User Confirmation & Execution Plan Optimization
Based on the queried data, the system generates an optimized execution plan and presents it to the user for confirmation. This strategy considers cross-chain opportunities, gas costs, timing, and risk parameters. The user maintains full control and transparency over what will be executed.
4. Attestation → Verifiable Data Feed & Result Achievement
The final step provides cryptographic attestation of all executed actions through verifiable data feeds. Users receive mathematical proof that their intent has been fulfilled exactly as planned, with full transparency into every cross-chain interaction that occurred.
5. Execution → Execution Plan Submission to Vishwa Orchestration Engine
Once confirmed, the execution plan is submitted to the Vishwa Orchestration Engine, which coordinates the complex multi-chain operations. The engine follows the cycle: Facilitate → Query → Execute → Attest, ensuring each step is properly validated and recorded.
The Transformation
This loop achieves four fundamental improvements to cross-chain interaction:
Transforms Agents from "Chain-Blind" to "All-Knowing" - Agents gain comprehensive visibility across all blockchain networks
Enables True Global Optimization - Strategies consider opportunities across the entire multi-chain landscape
Drastically Reduces Hallucination and Errors - Verifiable data feeds eliminate guesswork and assumptions
Replaces Blind Trust in Agents with Verifiable Action - Every step is cryptographically proven rather than trusted
The result is a system where complex cross-chain goals become simple intents, and users receive mathematical guarantees rather than promises.
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