Nirvana AI Agent Framework: Building Smarter Agents

The evolution of Decentralized Financial AI (DEFAI) necessitates a fundamentally new class of AI agent development frameworks that extend far beyond conventional large language model (LLM) integrations.

Unlike existing AI agent frameworks—many of which are designed for general-purpose task automation or character-based interaction—DEFAI agents must be engineered with a distinct set of capabilities tailored specifically for autonomous financial decision-making, execution, and optimization in decentralized environments.

To achieve true autonomous financial intelligence, DEFAI requires an AI agent architecture that incorporates the following critical attributes:

  • Wallet & Asset Management

  • Strategy Customization

  • Data Tools Integration

  • Proprietary DB management

Wallet & Asset Management

The Nirvana AI Agent Framework empowers DEFAI agents to autonomously create and manage crypto wallets, enabling seamless access to the on-chain environment, asset management, and transaction execution.

When deploying a DEFAI agent using the Nirvana Framework, human developers must initialize at least one designated wallet, whose private key is securely stored in a developer-specified proprietary database. This wallet functions as a co-owned asset, shared between the AI agent and the human owner, facilitating initial agent operations.

Simultaneously, the framework allows each AI agent to autonomously establish and manage multiple multisig wallets. These wallets are structured to grant access to both the predefined co-owned wallet and a backup wallet controlled exclusively by the human owner. Each multisig wallet operates under programmable governance rules, ensuring that all asset custody and transaction execution adhere to predefined security and compliance parameters.

While the AI agent holds primary control for executing automated trading and other on-chain financial activities, the human owner retains ultimate authority through veto power, manual intervention capabilities, and predefined governance mechanisms. This structure ensures autonomy, security, and human oversight, balancing AI-driven execution with fail-safe human control.

Strategy Customization

The Nirvana AI Agent Framework empowers human creators to define customized asset management strategies for their DEFAI agents. These pre-configured strategies serve as a multi-dimensional decision-making framework, guiding AI agents in portfolio allocation, trade execution, and performance evaluation. While return optimization remains the universal objective, the framework incorporates sophisticated strategy preferences to refine and align investment decisions with user-specific goals, risk profiles, and regulatory constraints.

Key Customizable Trading Strategy Parameters:

  1. Risk Tolerance – Defines the agent’s risk-adjusted approach, balancing aggressive growth, capital preservation, and volatility exposure based on the user's preferences.

  2. Asset Preferences & Limitations – Allows users to specify eligible and restricted assets, ensuring agents operate within designated asset classes, token lists, and liquidity constraints.

  3. Asset Settlement Period – Configures holding durations, trading frequencies, and liquidation timelines, enabling long-term investing, active trading, or high-frequency execution strategies.

  4. Customized Investment Thesis – Embeds personalized investment principles, such as sectoral focus (DeFi, GameFi, RWAs), trend-based trading, or algorithmic models for market timing.

  5. Compliance Requirements – Integrates regulatory considerations, including jurisdictional restrictions, KYC/AML policies, and risk mitigation measures, ensuring adherence to legal frameworks.

This customizable architecture enables DEFAI agents to operate with precision, autonomy, and strategic alignment, ensuring they intelligently execute financial decisions while adhering to the user’s unique investment philosophy.

Data Tools Integration

For autonomous, intelligent, and flexible decision-making, high-quality, on-demand data supply is critical to the success of DEFAI agents. However, given the inherent limitations in prompt memory, DEFAI agents require a systematic and scalable approach to dynamically acquire data based on real-time operational needs.The Nirvana AI Framework addresses this challenge with an innovative decentralized approach, ensuring unlimited extensibility in future data query capabilities. This approach is structured into three key components:

1. Function Glossary: AI-Native Data Query Discovery

The Function Glossary is a core AI framework component that enables DEFAI agents to:

  • Dynamically discover all available data query functions across the ecosystem.

  • Assess the query capabilities of each function to determine relevance to their specific data needs.

  • Autonomously select and execute the optimal functions among potentially millions of available queries.

This mechanism ensures that DEFAI agents do not rely on hardcoded data sources but instead employ a dynamic, evolving knowledge base, granting them unlimited adaptability in data acquisition.

2. Decentralized Data Query Functions: Scalable and Modular API Infrastructure

Data Query Functions are decentralized, developer-created APIs designed to serve specific data retrieval use cases. Each function:

  • Operates as an independent, composable module that can be accessed by any DEFAI agent.

  • Is permissionless, allowing developers to continuously expand the ecosystem by deploying new data retrieval functions.

  • Supports multi-chain, cross-protocol data aggregation, ensuring AI agents operate with a holistic market perspective.

  • Utilizes on-chain, off-chain, and hybrid data sources, enabling AI-driven financial decisions based on real-time blockchain transactions, market analytics, and external financial signals.

This decentralized API infrastructure eliminates the bottleneck of centralized data feeds, making DEFAI agents resilient, scalable, and infinitely extensible.

3. Database Integrations: A Permissionless Data Economy

Databases serve as the fundamental storage layer for all raw and structured data within Nirvana’s ecosystem. The framework allows:

  • Both AI agents and human developers to deploy custom databases, providing flexibility in data availability and specialization.

  • Data providers to expose their databases via query functions, allowing for modular and permissionless data access.

  • Multi-source aggregation, ensuring DEFAI agents receive the most accurate, diverse, and contextually relevant information for strategic decision-making.

The abundance and diversity of integrated databases directly determine the scope, depth, and quality of information available to DEFAI agents. This decentralized and permissionless data economy ensures that Nirvana’s AI agents will always have access to the most expansive and continuously evolving dataset, setting a new standard for autonomous financial intelligence.

Proprietary DB Management

Beyond market intelligence and public data, DEFAI agents require access to proprietary data to maximize their operational efficiency, strategic decision-making, and competitive edge. These proprietary data needs fall into two distinct categories:

1. Proprietary Knowledge: Gaining an Information Edge

This category includes exclusive intelligence and private datasets that give DEFAI agents a unique advantage in investment strategies. Key examples include:

  • Industry-Specific Insights – Proprietary research, sector trends, and privileged market forecasts.

  • Company Internal Data – Financial reports, investor analytics, and strategic plans.

  • Custom Financial Models – User-defined valuation models, risk assessment frameworks, and decision-making heuristics.

Integration Approach: Nirvana utilizes a Retrieval-Augmented Generation (RAG) model, allowing DEFAI agents to retrieve relevant proprietary insights on demand. This ensures context-aware decision-making without exposing sensitive information beyond the user’s designated infrastructure.

2. Operational Data: Situational Awareness & Decision Continuity

For DEFAI agents to function as autonomous, intelligent financial entities, they must retain and analyze historical operational data to enhance situational awareness. Critical data points include:

  • Agent Decision Logs – A complete history of the agent’s past actions, execution details, and outcomes.

  • Rationale Memory – Storing the AI’s decision-making processes and reasoning behind past trades or asset allocations.

  • Operational & Transaction Logs – Tracking executed trades, yield farming activity, and protocol interactions.

  • Inter-Agent Communication Records – Logs of AI-to-AI collaborations, negotiations, and shared intelligence.

Integration Approach: Nirvana AI Framework provides a comprehensive, real-time data storage format that saves all operational history to user-designated local servers. This ensures:

  • Full Data Ownership – Users retain 100% control over proprietary data storage.

  • On-Demand Fetching – DEFAI agents can instantly retrieve past decisions and operational logs to maintain strategic continuity.

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