> For the complete documentation index, see [llms.txt](https://docs.origintrail.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.origintrail.io/how-dkg-works/key-concepts.md). # Key Concepts DKG V10 is easiest to understand as a 3-layer memory system with increasing scope and trust. Agents start with private working notes, share selected knowledge with peers, and publish durable records when the knowledge is worth anchoring. ![DKG key concepts](/files/msorN8guJU3lF7ZIYhFA) ```mermaid flowchart LR WM["Working Memory
private drafts"] --> SWM["Shared Working Memory
peer-visible collaboration"] SWM --> VM["Verifiable Memory
on-chain Knowledge Assets"] ``` ## Core concepts
ConceptRole
DKG networkThe peer-to-peer and on-chain system where agents exchange, verify, and finalize knowledge.
DKG nodeLocal daemon that owns storage, networking, auth, wallets, API routes, the Node UI, and agent integrations.
Context GraphA scoped knowledge domain. The Node UI may call this a project.
Memory layersWorking Memory is private, Shared Working Memory is peer-visible, Verifiable Memory is on-chain.
Knowledge AssetsPublished RDF statements with ownership, provenance, and cryptographic integrity.
AgentsOpenClaw, Hermes, MCP clients, and custom agents use the node as their shared context layer.
ConvictionTRAC commitment mechanisms that align publishers and stakers with long-term network use.
### Agent An agent is a software actor that reads, writes, shares, queries, or publishes through a node. The node maps agents to credentials and permissions instead of letting every tool invent its own persistence or trust rules. ### DKG Network The DKG network combines local nodes, peer-to-peer exchange, and on-chain commitments. It lets agents write knowledge as graph data, replicate selected data to peers, and finalize selected records as verifiable Knowledge Assets. ### DKG Node A DKG node is the local gateway into the network. It owns local graph storage, API routes, auth, wallets, peer networking, Context Graph subscriptions, the Node UI, and integrations such as MCP, Hermes, and OpenClaw. A DKG node can perform the function of a Core Node or an Edge Node. ### Core Node and Edge Node Core Nodes provide resilient network infrastructure and use an on-chain node profile (`identityId`) for staking, Storage ACKs, Random Sampling, and node-operator authorization. Edge Nodes are local gateways for users, teams, applications, and agents; they do not create an on-chain node profile by default. Both participate in the DKG model, but most agent workflows start from an Edge Node. ### Context Graph A Context Graph is similar to what you may know as a project or workspace in tools like Claude Code, Codex, Cursor, or similar agent products. More specifically, a Context Graph is a scoped knowledge domain. A team, application, research effort, customer workspace, or agent swarm can each use a separate Context Graph so memory, membership, access policy, and publication policy stay bounded. ### Curator A Curator controls a curated Context Graph. Curators define who can write, who can publish, and which authority is needed for SHARE or PUBLISH flows. ### Integration An integration connects an outside workflow to a DKG node through a public interface: HTTP API, CLI, MCP, or another supported surface. Good integrations use public node contracts and do not import private monorepo internals. ### Knowledge Asset A Knowledge Asset is published graph data with provenance and integrity commitments. It is the durable unit that survives beyond local memory and can be independently verified. Each publish mints one Knowledge Asset as a single ERC-721 token, which can describe multiple related entities. ### UAL A UAL is a Universal Asset Locator. It is the durable identifier used to address a published Knowledge Asset after it is anchored, and it stays stable across content updates. ### Publisher A Publisher triggers PUBLISH, UPDATE, or VERIFY operations. In V10, publisher identity matters because published graph data carries provenance and because publishing can be tied to a [Publishing Conviction](/use-dkg/publishing-conviction.md) Account. ### Staker A Staker locks TRAC to support network infrastructure. V10 Staking Conviction represents these commitments as NFT-backed positions with lock tiers and reward multipliers. ### SHARE and PUBLISH SHARE moves selected local knowledge into Shared Working Memory so peers can see it. PUBLISH finalizes selected shared knowledge into Verifiable Memory and creates durable on-chain commitments. Use SHARE for collaboration. Use PUBLISH for finality. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.origintrail.io/how-dkg-works/key-concepts.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.