Introduction to Cognibit

This docs section introduces the reader into Cognibit, its components and vision.

Want to jump to $CBT Cognibit ecosystem token? Head to the Token section to learn more.

Components of the Cognibit platform

Cognibit consists of 3 major infra layers:

1. Foundation Layer/Infrastructure layer: Decentralized Computation Network

   At its base, CogniBit operates on a network of distributed computation nodes that provide the raw processing power required for sophisticated AI operations.

   Core functional roles of Cognibit distributed computational nodes are:

• To enable parallel processing of AI tasks for enhanced throughput

• Host and execute AI models in a distributed manner

• Divide complex model context protocol operations across multiple nodes.

• Validate AI operations without exposing sensitive data.

1. Protocol Layer:

Cognibit protocol layer is built on three main technologies:

• Cognibit Model context protocol: This is a standardized communication framework that enables transparent reasoning chains for autonomous decisions, cross-chain compatibility for onchain AI driven operation, onchain context-aware agents for custom crypto/DEFI tasks.

Context registration:

RegisterContext( context_data: ContextData, metadata: ContextMetadata, access_policy: AccessPolicy ) → context_id: UUID

Context Update:

UpdateContext( context_id: UUID, update_operations: UpdateOperations, justification: Justification ) → new_context_id: UUID, update_proof: UpdateProof

1. Application Layer:

Cognibit application layer consists of Developer SDK: Testing Framework, CogniBit CAVE (Controlled Agents Virtual Environment), BIT-Terminal Documentation Deployer support

User Apllications:

Wallet integration and autonomous wallet abstraction.

Infra layer structure