Neural Dashboard

Manage your AI agents and neural networks

The MindCP Neural Dashboard gives you complete control over your decentralized AI systems. It is the operational center for managing your Neural Credits, deploying tailored agents, and monitoring their performance in real time. Whether you're managing a single AI or orchestrating a network of agents, the dashboard provides the clarity and flexibility needed to operate in a verifiable and trustless environment.

You can choose from a range of preconfigured agents or create entirely new ones based on your own logic and data. Every agent is context-aware, independently verifiable, and optimized for your specific needs.

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Available Agent Types

The dashboard includes powerful out-of-the-box agents for key workflows. Each agent can be customized or extended, and you can also design new ones using the MindCP SDK.

Agent Name	Description
Data Analyst Pro	Performs complex data analysis, pattern detection, and reporting at scale.
Creative Writer	Generates long-form content, campaign ideas, and brand messaging.
DevOps Coder	Writes, debugs, and optimizes code across stacks and languages.
Chain-Runner	Interacts with smart contracts, tracks on-chain events, and parses blockchain data.
E-Commerce Curator	Suggests products, analyzes customer data, and manages listings automatically.
Realtime Sentinel	Monitors incoming data streams for anomalies, alerts, or rule violations.

Build From Scratch with Total Flexibility

MindCP empowers you to create new agents entirely from scratch using your own datasets, intents, and logic flows. This gives you the freedom to design AI systems that reflect your domain-specific needs, business logic, or research goals. By defining exactly how your agent should think, what it should know, and how it should behave, you can build highly specialized systems that are verifiable, decentralized, and context-aware by design.

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Getting Started with Your AI Agents

Launching your first agent is fast and flexible. The dashboard guides you through a streamlined setup and activation process:

Step 1: Choose or Create an Agent

Start by selecting a built-in agent template or use the MindCP SDK to create a new custom agent tailored to your use case.

Step 2: Configure Intent and Context

Define your agent’s intent and provide any required contextual data. This could include datasets, behavioral instructions, access rules, or model preferences.

Step 3: Deploy and Interact

Launch the agent into production. You can view its real-time decisions, inputs, and verifiable output streams through the dashboard interface.

Step 4: Monitor and Iterate

Track agent performance metrics, refine instructions, or modify context on the fly. The dashboard also supports snapshotting and agent version control.