MindAI Orchestrator
The Intelligence Engine Behind Autonomous Agents
The MindAI Orchestrator is a low code intelligence engine that governs agent behavior—empowering agents to think, plan, and act autonomously. It combines powerful foundation models, contextual reasoning, and a modular execution architecture to enable agents to operate intelligently within complex environments.
At its core, the Orchestrator translates goals, personality, and real-time inputs into coordinated sequences of actions, allowing agents to adapt, collaborate, and execute tasks across both Web3 and traditional systems.
Modular, Context-Aware Autonomy
The Orchestrator is structured around a hierarchical planning architecture:
High-Level Planner: Aligns long-term objectives, contextual signals, and personality traits with the agent’s intent.
Low-Code Executors: Select and trigger modular tools, APIs, smart contract actions, or data-fetching workflows via the integrated Morpheus Labs Workflow Studio.
This structure ensures that agents aren't just reactive—they’re strategic, goal-aligned, and capable of long-horizon planning.
Deployment Options
The MindAI Orchestrator can be used in two complementary modes:
🔹 Cloud-Hosted Model (Workflow Studio + Google Cloud)
A fully managed, low-code solution for orchestrating agent logic, tool usage, and AI reasoning. Ideal for creators, teams, and enterprise users who want to deploy intelligent agents without managing infrastructure.
Features:
Agentic templates are visual workflows with trigger/action nodes
Native support for onchain integrations, APIs, and AI models
Auto-scaling via Cloud Run & Cloud Functions
Agent memory stored in Firestore , Vertex AI Vector Search , BigQuery
Secure model access through Vertex AI or containerized endpoints
Includes prebuilt functions for Agents to do:
Webhooks, API calls, data enrichment
Smart contract interactions (read/write)
Agent-to-agent task coordination
Token-actions (stake, vote, claim, mint)
🔸 Developer SDK Model
For developers who want full control, the MindAI Orchestrator SDK provides a programmatic interface to embed orchestration logic into custom environments or run agents independently.
Features:
Lightweight SDK to embed orchestration engine
Supports integration with third-party LLMs and hosted models
Plug-and-play compatibility with MindAI Trust Protocol
Local execution, or deployment via any preferred cloud
Web3 plugin support (for Ethereum, Kusama, Solana, etc.)
Supports:
Agent-to-agent commerce via MTP-compatible plugins
Custom toolchains and evaluator modules
Agent memory frameworks (in-memory, IPFS, Firestore, Postgres)
Contribution of community plugins (image processing, governance, etc.)
Hosted Foundation Models
MindAI supports and integrates with the following foundation models, hosted through Google Cloud (Vertex AI) or containerized on GKE:
Gemini / PaLM 2 (Google Cloud)
LLaMA 3 8B / 70B Instruct (custom-hosted)
DeepSeek R1 & V3
Qwen 2.5 72B Instruct
OpenRouter-compatible models (optional via SDK)
Agents can call models directly or compose reasoning steps using prompt chains, enabling both single-shot and multi-turn intelligence workflows.
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