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@SuperagenticAI

Superagentic AI

Full Stack Agentic AI company building AI agent tools, enabling Agent Experience & Advanced Agent Engineering. Based in the UK 🇬🇧 & USA 🇺🇸

🛠️ Superagentic AI (🇬🇧🇺🇸)

Full-Stack Agentic AI Tools and Frameworks
Building the open infrastructure for intelligent, production-grade AI agents.Superagentic AI is company based in the UK and USA.

Superagentic AI is a technology organization focused on enabling agent engineering, agent experience, and open-source innovation for the agentic era of artificial intelligence. We build tools, frameworks, and libraries that help developers and organizations create, optimize, and scale autonomous AI systems with confidence


🚀 Vision

Agentic AI represents the next wave of software intelligence, autonomous systems that act, reason, and collaborate. Our work is centered on empowering developers to build reliable agentic systems and enabling the broader community to innovate together.


📦 What We Build

🔹 Open Source Projects

Explore our community-driven repositories below — tools for building, optimizing, and integrating agentic systems.

Project Description
Agenspy Protocol-first AI agent framework with DSPy integration
CodeOptiX Optimization of coding agent behaviors
dspy-code Comprehensive CLI to optimize DSPy workflows
specmem Unified agent experience memory layer for coding agents
agentvectordb Scalable vector database core for agentic memory
Agentic-DevOps Example workflows demonstrating agentic DevOps
SuperOpt Advanced optimization tools for agentic coding systems
(more coming) …and additional emerging tools

These represent the core OSS work in our GitHub org and ecosystem. See all repositories in the org


🛠️ Getting Started

Pick any project above and follow its documentation to begin contributing or using it in your workflows. Most packages can be installed via package managers or built from source.

Example (using specmem):

git clone https://github.com/SuperagenticAI/specmem.git
cd specmem
pip install -e .
specmem init

🤝 Community

We welcome contributions of all kinds: bug fixes, feature enhancements, documentation improvements, and use-case examples. To contribute:

  1. Fork the repository
  2. Create a new branch
  3. Add your changes
  4. Submit a pull request

See the CONTRIBUTING.md in each repo for more details. 📣 Stay Connected Follow Superagentic AI across platforms and stay updated with releases, tutorials, and events: 🌐 Website: https://super-agentic.ai 🐦 X: @SuperagenticAI 💼 LinkedIn: Superagentic AI 📦 PyPI: SuperagenticAI packages 🤗 Hugging Face: SuperagenticAI org

📄 License

Most projects use permissive open-source licenses (see each repo for details). We encourage reuse, forks, and innovation across the agentic AI community.

💡 Join Us

We are building towards a future where agentic AI tools are accessible, interoperable, and safe. Whether you are a developer, researcher, or organization, you are welcome here. Let’s build the agentic era together.

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  1. dspy-code dspy-code Public

    Claude Code for DSPy: Comprehensive CLI to Optimize Your DSPy Code. our AI-Powered DSPy Development Assistant

    Python 42 3

  2. specmem specmem Public

    SpecMem: 🧠 Unified Agent Experience and Cognitive Memory for Every Coding Agent

    Python 12 2

  3. agentvectordb agentvectordb Public

    AgentVector: The Cognitive Core for Your AI Agents. Vector Database designed for Agentic AI.

    Python 11 1

  4. superopt superopt Public

    Agentic Environment Optimization for Autonomous AI Agents

    Python 3

  5. codeoptix codeoptix Public

    Agentic Code Optimization For Better Coding Agent Experience

    Python 2

  6. superquantx superquantx Public

    SuperQuantX is a unified quantum computing platform that makes quantum algorithms and quantum machine learning accessible through a single, consistent API.

    Python 1 1

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