cognizant-ai-lab/neuro-san-studio

A playground for neuro-san

What it solves

Neuro SAN Studio is a development environment designed to simplify the creation of intelligent multi-agent systems. It removes the orchestration complexity of building collaborative AI networks, allowing users to design, test, and deploy agent networks without needing extensive coding knowledge.

How it works

The studio acts as a playground for the Neuro SAN framework, using a data-driven approach where agent networks are defined via declarative HOCON configuration files. It utilizes the AAOSA protocol for adaptive, decentralized communication between agents, allowing them to autonomously delegate tasks. It also includes a specialized "Agent Network Designer"—a meta-agent that can generate entire agent network configurations from natural language descriptions.

Who it’s for

It is designed for machine learning engineers, researchers exploring adaptive AI, and business domain experts who want to prototype production-ready multi-agent solutions across various industry verticals.

Highlights

  • Declarative Configuration: Use HOCON files to design agent interactions without deep coding.
  • Agent Network Designer: A meta-agent that automatically creates agents, links them, and writes instructions based on a prompt.
  • Sly-Data: A system for the safe transfer of sensitive data between agents without exposing it to the LLMs.
  • Broad Integration: Supports various LLM providers (OpenAI, Anthropic, Google Gemini, Ollama) and integrates with external tools like CrewAI, LangChain, and MCP.
  • Developer UI: Includes the nsflow UI for visual interaction and testing of agent networks.

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