DevNet Mapping

This page provides an overview of Cortensor's DevNet environments, including tested modules, phase objectives, and ongoing developments.


DevNet2 (Phase #1 Testing)

Status: Completed / Network is still running

Scope:

  • Core Modules & Contracts:

    • ACL (Access Control List)

    • IAM (Identity and Access Management)

    • CognitiveV0 (Initial AI inference and processing module for network task)

    • NodeStats (Tracking and monitoring node performance)

    • Runtime (Execution environment for decentralized processing)

  • Focus Areas:

    • Stabilization of oracle nodes and miner nodes

    • Basic AI inference & task execution

    • Ensuring compatibility across Linux, Windows, and macOS

    • Enabling CPU & GPU support

Modules Tested:

  • Basic node operations and execution flow

  • Initial AI model inferencing capabilities

  • Performance tracking & logging for miner and oracle nodes

Agents & Binaries:

  • OracleV1

  • MinerV1


DevNet3 (Phase #2 Testing)

Status: Early/Mid Feb 2025

Scope:

  • Includes all DevNet2 features, plus:

    • Node Reputation & Selection Modules (Scoring and ranking nodes based on reliability and efficiency)

    • CognitiveV2 (Advanced AI inference capabilities with performance optimizations)

    • Ephemeral State Testing for User Tasks (Tracking temporary state transitions for user job execution)

    • Session & Session Module Preparation (Precursor testing for next-phase session management)

  • Focus Areas:

    • Node performance tracking

    • Data persistence & ephemeral state testing

    • Refining user task execution flow for Session Module

Modules Tested:

  • Node reputation and selection for optimized job allocation

  • Performance tracking & benchmarking for miner/oracle efficiency

  • Ephemeral state tracking for session-based tasks

Agents & Binaries:

  • OracleV2

  • MinerV2


Upcoming Phases Objectives:

  • Session Module & Router Node Development

  • Dynamic job scheduling enhancements

  • Optimized state handling for decentralized AI workflows

  • Make Cortensor Better!

  • [TODO]

Each phase builds upon the last, progressively enhancing Cortensor’s decentralized AI infrastructure.

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