AI Agent Frameworks
Frameworks for building swarms of Smart Agents.
Frameworks for developing Smart Agents that combine the best aspects of autonomous operation with human oversight and strategic direction.
Project Comparison
No Framework Compare against building teams of agents without using a framework.
| Name | Onboarding | Open Source | Language | Forks | Agents & Tokens | Tokenomics |
|---|---|---|---|---|---|---|
| ai16Z Eliza | TRUE | TypeScript | Naval | pump.fun | ||
| Almanak | ||||||
| AutoGen | ||||||
| ARC | TRUE | |||||
| Based Agent | TRUE | |||||
| Griffain | ||||||
| Loria | - | |||||
| Morpheus | ||||||
| Solana Agent Kit | TRUE | |||||
| Vercel | Vercel | |||||
| Virtuals | TRUE | aiXBT | aiXBT | |||
| Zerebro | TRUE |
Fields
| Field | Description |
|---|---|
| Forks | |
| Stars | |
| Cross-chain | |
| Search | |
| Memory | |
| Blockchain |
Resources
Related
Job to be Done
The key to successful implementation lies in creating coordinated systems where different agent types work together to:
- Orchestrate coordination of Energy and Assets
- Maximize leverage
- Maximize capital efficiency
- Reduce operational costs
- Enhance decision-making quality
- Maintain regulatory compliance
- Provide transparent operations
Evolution
Roadmap towards decentralised AI.
- Blind Trust, no visibility into decision-making.
- Open Source the Code, Collaboration through open codebases, but no insight into inference processes.
- Open Data, Access to training data and reasoning logs, with limited external auditability.
- Decentralized Inference, Transparent model execution through zkML/opML, allowing community verification.
- Decentralized AI OS, Fully autonomous agents with observable resource management, auditable decisions, and independent runtimes.
Architecture
Architecture and Infrastructure
Search APIs
Essential search APIs for building AI agents:
Blinks and Actions
Solana Actions and Blinks represent a significant advancement in blockchain interaction that can be particularly powerful when combined with AI agents.
Core Components
Actions function as APIs that enable complex business logic for constructing transaction messages on the Solana blockchain. These APIs allow for seamless transaction execution and can be integrated into various platforms and interfaces.
Blinks (blockchain links) transform Solana Actions into shareable, metadata-rich URLs that can trigger transactions from any web surface. They enable direct blockchain interactions without requiring specialized dApps or complex interfaces.
AI agents can leverage Actions and Blinks in several ways:
Transaction Automation
- AI agents can programmatically generate and execute transactions through the standardized Actions API
- Automated monitoring and response to specific blockchain conditions
- Smart execution of trades, staking, or governance participation
Enhanced User Experience
- AI agents can interpret and process Blinks to provide contextual information
- Automated verification of transaction safety and legitimacy
- Intelligent routing of transactions based on user preferences and market conditions
Security
Trusted Execution Environments required to ensure security and build trust through reliability.
- All network calls to third-party action providers go through a proxy service
- Actions and Blinks are opt-in features requiring explicit user activation
- Implementation of burner wallets for certain interactions provides additional security layers
Challenges
- Security and Regulation: The autonomous nature of AI agents poses challenges in terms of security, accountability, and regulatory compliance, especially as they handle financial transactions.
- Accuracy and Trust: Ensuring the accuracy of AI decisions and fostering trust among users remains a priority, as errors or manipulations could have significant consequences in a financial context.
Future
AI Agent Swarms where multiple AI agents work collaboratively, is gaining traction, potentially leading to more sophisticated decentralized applications.
- Decentralized AI Economies with token-based incentives driving further development and adoption.
- Automated trading strategies with direct blockchain execution
- AI-powered governance participation
- Intelligent content monetization through Access Protocol integration
- Dynamic transaction optimization based on network conditions