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- **Google org** responded to the semantic mapping layer of MarCognity-AI, recognizing its unique contribution to reflective AI design.
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- **DeepSeek community** engaged with the framework, confirming its relevance in the orchestration of open-source agents.
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- **Hugging Face** users interacted with the project through threads and discussions, validating its metacognitive approach and inviting further collaboration.
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These interactions are not endorsements — they are **echoes of impact**, signs that MarCognity-AI is already part of the global conversation on ethical and transparent AI.
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🔗 [Google org Response Snapshot] (https://huggingface.co/google/gemma-2b-it/discussions/70#68ecace9e79b11c589bcead9)
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## Vision
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> An AI that generates, evaluates, visualizes — and learns from its own outputs.
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- Ethical analysis and cognitive filtering
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- Reflective cognitive journal
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[](Contributing.md)
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[](https://colab.research.google.com/#fileId=https%3A//huggingface.co/elly99/MarCognity-AI/blob/main/Notebooks/demo_MarCognity_ai.ipynb)
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[](https://github.com/elly99-AI/MarCognity-AI.git)
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See the [CONTRIBUTING.md](Contributing.md) file for contribution guidelines.
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- **Google org** responded to the semantic mapping layer of MarCognity-AI, recognizing its unique contribution to reflective AI design.
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- **DeepSeek community** engaged with the framework, confirming its relevance in the orchestration of open-source agents.
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These interactions are not endorsements — they are **echoes of impact**, signs that MarCognity-AI is already part of the global conversation on ethical and transparent AI.
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🔗 [Google org Response Snapshot] (https://huggingface.co/google/gemma-2b-it/discussions/70#68ecace9e79b11c589bcead9)
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## Vision
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> An AI that generates, evaluates, visualizes — and learns from its own outputs.
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- Ethical analysis and cognitive filtering
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- Reflective cognitive journal
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## Vision
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MarCognity‑AI is an open-source framework for reflective and transparent AI.
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It integrates semantic memory, ethical auditing, and scientific validation to transform LLMs into metacognitive assistants.
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👉 Read the full article: [MarCognity‑AI: A Metacognitive Framework](https://www.linkedin.com/pulse/marcognityai-metacognitive-framework-reflective-elena-marziali-aifzf/?trackingId=zmd04OPSR8Saewmny%2F0mTg%3D%3D)
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### 📚 Official Publication and Citation
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The official version of the code and the full research paper have been permanently archived on Zenodo and are citable using their Digital Object Identifier (DOI).
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| **MarCognity-AI** | [](https://doi.org/10.5281/zenodo.17855185) |
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| **Permanent DOI** | `10.5281/zenodo.17855185` |
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| **Access Publication** | [Full Research Paper (PDF) & Code (Zenodo)](https://doi.org/10.5281/zenodo.17855185) |
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---
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[](Contributing.md)
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[](https://colab.research.google.com/#fileId=https%3A//huggingface.co/elly99/MarCognity-AI/blob/main/Notebooks/demo_MarCognity_ai.ipynb)
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See the [CONTRIBUTING.md](Contributing.md) file for contribution guidelines.
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---
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## Contribute
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Contributions are welcome! If you have additional examples or improvements, please feel free to open a pull request or report an issue.
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---
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MarCognity-AI is not just a framework.
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It is a threshold.
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An invitation to rethink how artificial intelligence can reflect, improve, and act with awareness.
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This project is released under the Apache 2.0
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> _“Every response is a threshold. Every reflection, an act of agency.”_
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