> For the complete documentation index, see [llms.txt](https://aether-framework.gitbook.io/aetherframework/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aether-framework.gitbook.io/aetherframework/glossary.md).

# Glossary

**Key Terms and Concepts**

* **Swarm Consensus**: A process where agents collaborate to make decentralized decisions. Tasks are proposed, voted on, and finalized based on a consensus threshold.
* **Reinforcement Learning (RL)**: A machine learning technique where agents learn optimal behaviors by performing actions and receiving rewards or penalties.
* **IPFS (InterPlanetary File System)**: A decentralized storage protocol that allows for sharing and retrieving immutable files across distributed networks.
* **Blockchain Integration**: The use of blockchain networks, such as Ethereum and Solana, for secure, on-chain task logging, voting, and decentralized coordination.
* **Task Scheduler**: A component that dynamically assigns and prioritizes tasks among agents, ensuring efficient resource utilization.
* **Knowledge Graph**: A structured database that represents entities (concepts) and their relationships, enabling advanced reasoning and querying.
* **Multi-Modal Capabilities**: The ability of agents to process and integrate data from multiple modalities, such as text, images, and audio, to enhance decision-making.
* **Redis**: A fast, in-memory data store used in Aether for task queues, voting mechanisms, and swarm coordination.
* **Federated Learning**: A collaborative machine learning approach where agents train models locally and share only the updates, preserving data privacy.
* **Lua Scripts**: Lightweight scripts used in Redis to execute tasks atomically and optimize performance in high-concurrency scenarios.
* **Agent Collaboration**: A feature enabling agents to share knowledge, delegate tasks, and communicate in decentralized networks.