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  • Group 1
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  1. Basics

Integrations

Cogni seamlessly integrates with various tools, platforms, and technologies to enhance your workflows and extend the capabilities of decentralized storage. Here are some of the integrations supported by Cogni:

1. Machine Learning Frameworks

Cogni simplifies the integration of decentralized storage into your AI and ML workflows.

  • TensorFlow & PyTorch: Use CIDs to load datasets or models directly into your training pipelines.

  • Example Python Integration:

    import requests
    
    cid = "<CID>"
    url = f"https://ipfs.cogni.host/ipfs/{cid}"
    
    response = requests.get(url)
    with open("model.h5", "wb") as file:
        file.write(response.content)

2. Jupyter Notebooks

Enhance your Jupyter notebooks by directly embedding files or datasets stored on Cogni.

  • Embed visualizations of datasets.

  • Load training data from IPFS using a CID.

3. Blockchain Platforms

Store metadata and files for blockchain projects on Cogni to ensure decentralized and secure access.

  • Ethereum & Solana: Use Cogni to host NFT metadata and assets.

  • Smart Contract Example:

    string public ipfsCID = "https://ipfs.cogni.host/ipfs/<CID>";

4. Web3 Applications

  • Integrate Cogni as a decentralized storage layer for Web3 dApps.

  • Host frontend assets for dApps using Cogni's IPFS infrastructure.

5. Decentralized Identity

Leverage Cogni to store decentralized identity (DID) documents, ensuring secure and permanent access for identity verification systems.

6. APIs for Automation

Cogni provides API integrations to enable automated workflows.

  • Example API Usage:

    curl -X POST -F file=@myfile.txt https://ipfs.cogni.host/api/v0/add

    This allows developers to programmatically upload files and retrieve their CIDs.

7. Collaboration Tools

Integrate Cogni with tools like Slack, Notion, or Trello to share files and datasets seamlessly with your team.

  • Share CIDs directly within your workspaces.

8. GitHub Actions

Set up GitHub Actions to automatically upload build artifacts, models, or datasets to Cogni for decentralized storage.

  • Example Workflow:

    jobs:
      deploy:
        runs-on: ubuntu-latest
        steps:
          - name: Upload to Cogni IPFS
            run: |
              ipfs add -r ./build
              echo "Uploaded to Cogni"

9. OrbitDB Integration

For collaborative or distributed databases, integrate Cogni with OrbitDB to store and share structured data securely.

10. IoT and Edge Computing

Store IoT sensor data or edge computing results on Cogni for tamper-proof, decentralized storage.

  • Use cases include logging environmental data, device telemetry, or audit trails.

11. CDN-like Functionality

Integrate Cogni's IPFS storage with traditional web hosting or CDN platforms to serve assets globally and redundantly.

Future Integrations

We are actively working on extending integrations to:

  • Google Cloud and AWS for hybrid decentralized-centralized storage.

  • Workflow automation tools like Zapier and Make.

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Last updated 4 months ago