Roadmap

Current Milestones

• Advanced Multi-Agent Collaboration:

  • Develop a robust messaging system for inter-agent communication.

  • Implement dynamic delegation of tasks based on agent roles and skills.

• Enhanced Blockchain Integration:

  • Expand support to Polkadot, Cosmos, and other blockchains.

  • Enable tokenized incentives for agent contributions.

• Reinforcement Learning Optimization:

  • Introduce multi-agent reinforcement learning (MARL) for collaborative learning.

  • Optimize RL algorithms for faster convergence in real-time scenarios.

Future Goals

• Federated Learning Integration:

  • Enable decentralized agents to collaboratively train models without exposing raw data.

  • Implement privacy-preserving mechanisms for sensitive tasks.

• IoT and Edge AI Integration:

  • Extend Aether to edge devices for local, decentralized decision-making.

  • Apply IoT compatibility for smart environments and real-time monitoring.

• Cloud Service Integrations:

  • Build modules for seamless interaction with AWS, GCP, and Azure for hybrid systems.

  • Enable cloud-based logging, task management, and analytics.

• Decentralized Marketplaces:

  • Design frameworks for autonomous agents to create and operate in decentralized marketplaces.

  • Implement on-chain bidding and resource management for task distribution.

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