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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.

NameOnboardingOpen SourceLanguageForksAgents & TokensTokenomics
ai16Z Eliza-/5TRUETypeScriptNavalpump.fun
Almanak-/5
AutoGen-/5
ARC-/5TRUE
Based Agent-/5TRUE
Griffain-/5
Loria-/5-
Morpheus-/5
Solana Agent Kit-/5TRUE
Vercel-/5Vercel
Virtuals-/5TRUEaiXBTaiXBT
Zerebro-/5TRUE

There needs to be standarized benchmarks to compare building Agents with No Framework to check if frameworks are needed or making things too complex and ineffective.

Meta

Description of meta data for comparing AI Agent development frameworks and ecosystems.

FieldDescription
Forks
Stars
Cross-chain
Search
Memory
Blockchain
Tokenomics

Analysis

Resources

Job to be Done

The key to successful implementation lies in creating coordinated systems where Agents of complimentary purpose and capabilities work together to maximize leverage through:

  • Orchestration of Energy and Assets
  • Maximize capital efficiency
  • Reduction of operational costs
  • Maintain regulatory compliance
  • Provide transparent operations
  • Enhance human decision-making quality

Evolution

Roadmap towards decentralised AI.

  1. Blind Trust, no visibility into decision-making.
  2. Open Source the Code, Collaboration through open codebases, but no insight into inference processes.
  3. Open Data, Access to training data and reasoning logs, with limited external auditability.
  4. Decentralized Inference, Transparent model execution through zkML/opML, allowing community verification.
  5. 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:

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