# 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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