OriginTrail
  • Get started with OriginTrail
  • OriginTrail Ecosystem — Call for Papers (Coming Soon)
  • Key Concepts
    • Decentralized Knowledge Graph (DKG)
    • DKG key concepts
  • TRAC: DKG utility token
  • Build with DKG
    • Quickstart (test drive the DKG in 5 mins)
      • Quickstart with Node.js
      • Quickstart with Python
    • Querying the DKG
    • DKG Edge Node
      • DKG Edge Node architecture
      • Get started with the Edge Node boilerplate
        • Automated setup with the installer
        • Manual setup
        • Usage example
      • Customize & build with the Edge Node
      • Knowledge Mining and dRAG examples
      • Deploy your Edge Node based project
        • Automated deployment with installer
      • DKG Edge Node inception program
      • DKG Edge Node API documentation
    • DKG Core Node
      • Run a V8 Core Node on testnet
        • Preparation for V8 DKG Core Node deployment
        • V8 DKG Core Node installation
      • Run a V8 Core Node on mainnet
        • Preparation for V8 DKG Core Node deployment
        • V8 DKG Core Node installation
      • How to open up your node for publishing
    • DKG toolkit
      • DKG SDK
        • Development environment setup
        • DKG Javascript SDK (dkg.js)
          • Interact with DKG paranets
          • Knowledge submission & curation
          • Paranet's incentives pool implementation
        • DKG Python SDK (dkg.py)
      • DKG paranets
        • Deploying a DKG paranet
        • Building with DKG paranets
        • Syncing a DKG Paranet
        • Initial Paranet Offerings (IPOs)
          • IPO specification
          • Launching your IPO
          • Paranet's incentives pool
          • IPO voting
      • AI agents
        • ElizaOS DKG agent
        • Custom DKG Python agent
        • Custom DKG JavaScript agent
      • Using the DKG with MCP
    • Ecosystem call for papers
  • DKG under the hood
    • Introduction
    • Delegated staking
      • Step-by-step staking
      • Redelegating stake
  • Random Sampling DKG Proof System
    • Random sampling rollout
    • Random Sampling FAQ
  • DKG Sync
  • Integrated Blockchains
    • Base blockchain
      • Connect to Base
    • Gnosis chain
      • Connect to Gnosis
    • NeuroWeb
    • Teleport instructions - NeuroWeb
    • Bridging to Moonbeam
    • Deployed smart contracts
  • Bounties & rewards
    • General bug bounty
    • Code contributions & V8 bug bounty
  • Whitepapers & RFCs
    • OriginTrail whitepaper
    • OriginTrail RFCs
  • Useful Resources
    • What's new with OriginTrail V8
    • DKG V8 guidebook
      • Protocol updates
      • Feature roadmap
      • How to upgrade to V8?
    • Public nodes
    • Tutorials
    • Test token faucet
    • Development principles
    • Community created resources
    • Linked data & knowledge graphs
    • Available networks, network details and RPCs
    • OT Node Engine implementation details
      • Modules
      • Command Executor
    • Contribution guidelines
      • Guidelines for automated test contributions
    • Explore the OriginTrail ecosystem
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Get started with OriginTrail

Build trusted neuro-symbolic AI with Knowledge Assets and the Decentralized Knowledge Graph

NextOriginTrail Ecosystem — Call for Papers (Coming Soon)

Last updated 7 days ago

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“Q. How do you propose to do this?

A. By saving the knowledge of the race. The sum of human knowing is beyond any one man; any thousand men. With the destruction of our social fabric, science will be broken into a million pieces. Individuals will know much of the exceedingly tiny facets of which there is to know. They will be helpless and useless by themselves. The bits of lore, meaningless, will not be passed on. They will be lost through the generations. But, if we now prepare a giant summary of all knowledge, it will never be lost. Coming generations will build on it, and will not have to rediscover it for themselves. One millennium will do the work of thirty thousand.”

Hari Seldon, Foundation series by Isaac Asimov (1951)

OriginTrail is building a verifiable knowledge layer for AI, where knowledge is traceable, memory is decentralized, and humans remain in control. It aims to achieve this by organizing all human knowledge in a Decentralized Knowledge Graph (DKG) through a collective neuro-symbolic AI approach.

A collective neuro-symbolic AI combines structured and connected information from symbolic AI (DKG) with the creativity of neural AI technologies (LLMs), building a robust decentralized AI infrastructure.

This provides a powerful substrate for trusted, human-centric AI solutions to tackle some of humanity's most pressing challenges. It also drives AI agents’ autonomous memories and trusted intents, as both AI agents and robots become potent enough to act on behalf of humans.

Choose your start

This site is a constantly updated, work-in-progress official OriginTrail documentation built by the OriginTrail community and core developers.

Find the "Edit on GitHub" button in the upper right corner and submit your updates as pull requests (or do it directly on the

We appreciate any feedback, improvement ideas, and comments.

Contribute your TRAC tokens for network utility and earn rewards

Try the DKG in 5 minutes—publish and query your first Knowledge Asset with zero setup.

A unified toolkit to publish knowledge, deploy AI agents, and launch collaborative paranets on the DKG.

Run your own node to deploy agents, power paranets, and take full control of your DKG stack.

Contribute to the DKG security, stability, and functionality and earn rewards

Learn key concepts of the DKG and empower yourself to build decentralized AI

docs Github repo).

Delegated staking
Quickstart
DKG builder toolkit
DKG Edge Node
DKG Core Node
DKG key concepts
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