Roadmap

Current Milestones

1. Advanced Multi-Agent Collaboration:

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

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

2. Enhanced Blockchain Integration:

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

   • Enable tokenized incentives for agent contributions.

3. Reinforcement Learning Optimization:

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

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

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Future Goals

1. Federated Learning Integration:

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

   • Implement privacy-preserving mechanisms for sensitive tasks.

2. IoT and Edge AI Integration:

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

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

3. Cloud Service Integrations:

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

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

4. Decentralized Marketplaces:

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

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