cognizant-ai-lab

    cognizant-ai-lab/neuro-san-studio

    A playground for neuro-san

    ai
    ai-agents
    llm
    aaosa
    agentic-ai
    agentic-framework
    agents
    ai-agents-framework
    Python
    Apache-2.0
    1.2K stars
    326 forks
    1.2K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 3 days ago, with 36 contributors on GitHub.

    Use Cases & Benefits

    • Provides a framework and UI to design, test, and deploy intelligent multi-agent AI systems using declarative configurations.
    • Simplifies complex multi-agent orchestration with adaptive communication and no-code configuration, enabling rapid prototyping and deployment.
    • Use for building collaborative AI agent networks that dynamically delegate tasks across multiple LLM-powered agents.
    • Use for automating industry-specific workflows like banking compliance, airline customer support, or insurance claims processing.
    • Use for researchers and developers exploring adaptive multi-agent systems with detailed tracing and flexible tool integration.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

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    From the README

    Your launchpad for building intelligent multi-agent systems. Neuro SAN Studio is a hands-on playground for the Neuro SAN framework, featuring ready-to-run examples, tutorials, and tools that let you design, test, and deploy sophisticated agent networks in minutes—not months. Whether you're a researcher exploring adaptive AI systems, a developer prototyping production solutions, or a domain expert configuring agents without code, this studio handles the orchestration complexity so you can focus on solving real problems.

    Neuro SAN is the open-source library powering the Cognizant Neuro® AI Multi-Agent Accelerator, allowing domain experts, researchers and developers to immediately start prototyping and building agent networks across any industry vertical.

    Neuro SAN library

    Neuro AI system of agent networks (Neuro SAN) is an open-source, data-driven multi-agent orchestration framework designed to simplify and accelerate the development of collaborative AI systems. It allows users—from machine learning engineers to business domain experts—to quickly build sophisticated multi-agent applications without extensive coding, using declarative configuration files (in HOCON format).

    Excerpt from the cognizant-ai-lab/neuro-san-studio README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    326+80

    Open issues

    134+31

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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