Agent Economies Stack
Opportunities for builders in upcoming agent economy.
Layer 7: Discovery & Search
Search and Discovery System
Tools for locating and evaluating agents based on capabilities and requirements.
AI-Native UX
AI-centric interface to search and discover agents and their services.
AI Intent Resolution
Intent resolution and routing to find the best agent(s) for the task.
Memory and Privacy
Memory and privacy storage and retrieval for agents.
Value Capture:
Value capture from systems for finding and discovering agents, services, and resources within the agent economy through efficiently coordinating complex tasks across multiple agents.
Layer 6: Orchestration & Routing
Routing System
Mechanisms for directing tasks to the most appropriate agents based on capabilities.
Orchestration System
Tools for managing complex workflows involving multiple agents working together.
Multi-agent Systems
Networks of agents that collaborate to solve complex problems.
Value Capture:
Value capture from systems for coordinating complex tasks and routing work between specialized agents to achieve goals efficiently through connecting users with the most relevant agent services.
Layer 5: Financial Systems
Payment System
Methods for transferring value between agents in exchange for services.
AI DeFi
Agent-centric lending, borrowing, isurance, ETFs, etc.
Agent Tokenization
Onchain tokenization of agent revenues and governance rights.
Value Capture:
Value capture from financial infrastructure that enables value exchange and economic activity within the agent economy through transaction fees and financial service provision.
Layer 4: Trust & Governance
Communication Protocol
Standards and methods for agents to exchange information and coordinate actions.
Identity System
Methods for authenticating and verifying the identity of agents in the network.
Reputation System
Mechanisms for tracking and evaluating the reliability and quality of agents' work.
Cybernetic Contracts
Automated agreements that define the terms of interaction between agents.
Benchmarks / Evals
Standards and methods for evaluating agent performance and capabilities.
Privacy
Data privacy protocols.
Cybersecurity
Security measures and guardrails for agents.
Value Capture:
Value capture from systems that enable trust, verification, and governance in the agent economy, allowing agents to establish reliable relationships through providing verification, security, and governance frameworks.
Layer 3: AI Agents
Specialized Agents
AI agents designed for specific domains or tasks with deep expertise.
Agent Frameworks
Frameworks that enable the development of specialized agents with specific capabilities.
Value Capture:
Value capture from autonomous entities with specialized skills and functions that can perform tasks through offering specialized capabilities to agents.
Layer 2: Tools & Capabilities
AI Tools & Plugins
Modular capabilities that extend the functionality of AI systems.
MCP Servers
Model-Capability-Protocol servers that provide standardized interfaces for agent capabilities.
Agent Capabilities
Specialized functions that agents can use to interact with external systems and services.
Value Capture:
Value capture from the tools, servers, and capabilities that extend agent functionality and enable them to interact with the world through performing specialized tasks and providing expert services.
Layer 1: Foundational AI Blocks
Large Language Models
Advanced AI models capable of understanding and generating human-like text and reasoning.
Fine-tuned Models
Specialized AI models trained for specific tasks or domains.
Value Capture:
Value capture from the core ai models, fine-tunes, and infrastructure that power agent capabilities through model access and infrastructure provision.
Layer 0: AI Compute
Verifiable Inference
Systems that can prove AI computations were executed correctly and as expected.
Decentralized Inference
Distributed networks that perform AI inference across many nodes without central control.
Cloud Inference
Centralized cloud platforms optimized for high-performance AI model execution.
Training Infrastructure
Systems designed for efficient training and fine-tuning of AI models.
Value Capture:
Value capture from the fundamental computing infrastructure that enables ai model execution and training through providing compute resources for AI inference and training.
Direct Value Capture
Direct monetization through fees, subscriptions, and usage-based pricing models that generate immediate revenue. These mechanisms create clear value exchange between service providers and consumers.
Indirect Value Capture
Indirect benefits such as data collection, ecosystem growth, and network effects that create long-term value. These approaches often focus on building platforms and ecosystems that increase in value over time.
dAGI Accelerator
The rise of decentralized AGI will redefine the world's economy. Join founders building the next generation of decentralized AI components, agents, and on-chain market mechanisms.
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