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Copy file name to clipboardExpand all lines: docs/build-a-dkg-node-ai-agent/advanced-features-and-toolkits/dkg-paranets/README.md
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Each DKG paranet has a:
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***Shared knowledge graph, assembled from paranet Knowledge Assets**, published by knowledge miners and stored on the OriginTrail DKG. Depending on the paranet specifics, these Knowledge Assets conform to a set of paranet rules, such as containing knowledge about a particular topic, data structured according to defined ontology, etc.
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***Shared knowledge graph, assembled from paranet Knowledge Assets**, published by knowledge miners and stored on the OriginTrail DKG. Depending on the paranet specifics, these Knowledge Assets conform to a set of paranet rules, such as containing knowledge about a particular topic, data structured according to a defined ontology, etc.
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***Staging environment,** where knowledge assets are registered prior to inclusion in a paranet by knowledge curators.
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***Paranet services** registered to the paranet, such as dRAG interfaces, AI agents, smart contracts, data oracles, etc.
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***Incentivization model** that specifies the rules under which growth activities in the paranet are rewarded, such as knowledge mining and paranet-specific AI services. The incentivization system may be kick-started through an Initial Paranet Offering (IPO)
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DKG paranets provide a structured, transparent knowledge-sharing system where value follows knowledge:
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***High-performant AI agent memory**—AI agents can autonomously govern and curate their own knowledge-graph-based memory using paranets, either individually or as part of agentic swarms. (See more under [ElizaOS agent](../../../to-be-repositioned/ai-agents/elizaos-dkg-agent.md))
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***High-performant AI agent memory**—AI agents can autonomously govern and curate their own knowledge-graph-based memory using paranets, either individually or as part of agentic swarms. (See more under the [ElizaOS agent](../../../to-be-repositioned/ai-agents/elizaos-dkg-agent.md))
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***Open scientific research**—Researchers can publish findings openly while being directly rewarded without paywalls (learn more about such a paranet [here](https://www.youtube.com/watch?v=9O-DB4EftOk)).
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***Social intelligence**—Paranet knowledge graph driven by social media insights and collaborative inputs ([learn more](https://origintrail.io/blog/growing-the-buz-economy-announcing-the-social-intelligence-paranet-launch))
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***AI training on open data**—AI models can train on decentralized, tokenized knowledge instead of closed, biased datasets.
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### Decentralized knowledge sharing for AI
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The characteristics of a paranet, including its Knowledge Asset parameters and how services are provisioned, are all defined by the **paranet operator.** A paranet operator can be an individual, an organization, a Decentralized Autonomous Organization (DAO), an AI agent, etc. Paranets together form the DKG, leveraging the common underlying network infrastructure. Given the DKG is a permissionless system, anyone can initiate a paranet.
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The characteristics of a paranet, including its Knowledge Asset parameters and the way services are provisioned, are defined by the **paranet operator.** A paranet operator can be an individual, an organization, a Decentralized Autonomous Organization (DAO), an AI agent, etc. Paranets together form the DKG, leveraging the common underlying network infrastructure. Given that the DKG is a permissionless system, anyone can initiate a paranet.
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Paranets provide a powerful substrate for AI systems. They leverage network effects of verifiable inputs from multiple sources to receive accurate answers through Decentralized Retrieval-Augmented Generation (dRAG), allowing it to gather information from the graph of public knowledge and privately held knowledge in relevant knowledge collections that it has access to.
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Paranets provide a powerful substrate for AI systems. They leverage network effects of verifiable inputs from multiple sources to obtain accurate answers through Decentralized Retrieval-Augmented Generation (dRAG), allowing it to gather information from the graph of public and privately held knowledge in relevant knowledge collections to which it has access.
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{% hint style="info" %}
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**TL;DR** 
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**Paranets are the first-ever neutral, transparent knowledge-sharing layer where value follows knowledge:**
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* AI models can train on open, tokenized knowledge instead of closed, biased datasets.
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* AI models can train on open, tokenized knowledge rather than on closed, biased datasets.
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* Scientific research can be published and rewarded directly, bypassing paywalls.
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* AI agents can govern their own information ecosystems individually or in swarms.
Paranets are like "virtual" knowledge graphs on the OriginTrail Decentralized Knowledge Graph (DKG). Building with them is quite similar to building on the DKG in general. However, paranets enable you to contain your operations services on these "virtual" graphs, e.g., querying a specific paranet with SPARQL or adding a knowledge collection\* to a specific paranet.
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{% hint style="info" %}
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\***A****knowledge collection (KC)** is a **collection of Knowledge Assets.** It refers to structured data that can be stored, shared, and validated within a distributed network.
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{% endhint %}
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To gain access to the paranet knowledge graph, you can use one of the [public DKG nodes](../../../dkg-knowledge-hub/useful-resources/public-nodes.md), or deploy a [DKG node](../../../graveyard/everything/dkg-core-node/) and set it up to host the paranet (or "sync" it). More information is available on the [Sync a DKG Paranet](syncing-a-dkg-paranet.md) page.
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To gain access to the paranet knowledge graph, you can deploy a [DKG node](../../../getting-started/decentralized-knowle-dge-graph-dkg.md) and set it up to host the paranet (or "sync" it). More information is available on the [Sync a DKG Paranet](syncing-a-dkg-paranet.md) page.
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**A direct code example of paranets in use can be found here -**[**Paranet Demo**](https://github.com/OriginTrail/dkg.js/blob/v8/develop/examples/paranet-demo.js)
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**A direct code example of paranets in use can be found here —**[**Paranet Demo**](https://github.com/OriginTrail/dkg.js/blob/v8/develop/examples/paranet-demo.js)
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### Querying paranets
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Once you have access to the paranet knowledge graph via a gateway node, you can use one of the [DKG SDKs](../dkg-sdk/) to interact with it. It is also possible to open up your triple store SPARQL endpoint directly and query the paranet knowledge graph in its own repository (the paranet repository name is equivalent to the paranet profile Knowledge Asset UAL, with dash characters instead of slash). 
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Once you have access to the paranet knowledge graph via a gateway node, you can use one of the [DKG SDKs](../dkg-sdk/) to interact with it. It is also possible to open your triple store SPARQL endpoint directly and query the paranet knowledge graph in its own repository (the paranet repository name is equivalent to the paranet profile Knowledge Asset UAL, with dash characters instead of slashes). 
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Using SPARQL, it is possible to query and integrate knowledge from multiple paranets and whole DKG in one query using SPARQL federated queries.  
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Using SPARQL, it is possible to query and integrate knowledge from multiple paranets and the entire DKG in a single query using SPARQL federated queries.  
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### Running paranet services
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* OPEN—Any node can sync the _paranet._
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* PERMISSIONED — Only approved nodes can sync the _paranet_.
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* Miners access policy—defines which knowledge miners can add knowledge to the _paranet_:
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* OPEN—Any address can submit a knowledge asset to the _paranet._
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* PERMISSIONED — Only approved addresses can submit a knowledge asset to the _paranet_.
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* Knowledge asset submission access policy:
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* OPEN—Any knowledge asset can be added to the _paranet._
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* STAGING—Knowledge miners first submit the knowledge asset to staging, where it is reviewed by curators chosen by the paranet owner. The curators can _approve_ (and automatically add knowledge asset to the paranet) or _deny_staged knowledge asset(which then doesn't get added to the paranet).
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* OPEN—Any address can submit a Knowledge Asset to the _paranet._
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* PERMISSIONED — Only approved addresses can submit a Knowledge Asset to the _paranet_.
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* Knowledge Asset submission access policy:
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* OPEN—Any Knowledge Asset can be added to the _paranet._
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* STAGING—Knowledge miners first submit the Knowledge Asset to staging, where it is reviewed by curators chosen by the paranet owner. The curators can _approve_ (and automatically add a Knowledge Asset to the paranet) or _deny the_staged Knowledge Asset (which then doesn't get added to the paranet).
Copy file name to clipboardExpand all lines: docs/build-a-dkg-node-ai-agent/advanced-features-and-toolkits/dkg-paranets/deploying-a-dkg-paranet.md
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DKG
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---
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# Deploy a Paranet
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# Deploy a paranet
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### 1. Prepare for paranet deployment
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Additionally, you might want to consider [running an IPO](initial-paranet-offerings-ipos/) to incentivize knowledge miners.
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{% hint style="info" %}
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If you have been running a paranet on the previous V6 version of the DKG, your paranet will not automatically update to the new system. If you need help updating, please contact the core developers in [Discord](https://discord.gg/xCaY7hvNwD) for assistance.
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If you have been running a paranet on the previous V6 version of the DKG, your paranet will not automatically update to the new system. If you need help updating, please contact the core developers in [Discord](https://discord.gg/aNpBjf97) for assistance.
Copy file name to clipboardExpand all lines: docs/build-a-dkg-node-ai-agent/advanced-features-and-toolkits/dkg-paranets/initial-paranet-offerings-ipos/README.md
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2.**Specify your paranet** using the provided [IPO template](https://docs.google.com/document/d/1QzKpH_ex-U8mxh-IgwTjijEe3n6vwRVAhG599siapQQ/edit#heading=h.61lymw4v18qp) to prepare it for the NeuroWeb governance proposal. Request a custom Discord channel creation for your paranet via the [#paranets](https://discord.gg/wtC73bqj3c) channel. 
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3. Introduce your paranet topic, knowledge assets, and AI services to the community. To ensure the required community support, we recommend sharing your proposal widely:
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* Sharing it on X
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* Posting on [Discord](https://discord.com/invite/qRc4xHpFnN) 
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* Posting on [Discord](https://discord.gg/aNpBjf97) 
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* Sending to [Telegram](https://t.me/origintrail) 
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4. Before launching the governance vote, [**register your paranet**](../building-with-dkg-paranets.md) and instantiate the _ParanetIncentivesPool_ and _ParanetIncentivesPoolStorage_ smart contracts via the _ParanetIncentivesPoolFactory_ contract. 
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5.**Launch the NeuroWeb Governance Proposal for your paranet**. General instructions for submitting governance proposals are available [here](https://docs.neuroweb.ai/on-chain-governance/submit-a-governance-proposal).
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