Build trusted AI agents with OriginTrail DKG

Persistent memory, verifiable context, and neuro-symbolic reasoning

Learn how to ground AI agents in verifiable knowledge, long-term memory, and explainable reasoning using the OriginTrail Decentralized Knowledge Graph (DKG).
Format

Online
course

Total duration

~4–5 hours

Author

Trace Labs - OriginTrail core developers

Price

Free

Modern AI agents are powerful — but unreliable

Today’s AI agents are impressive, but they:
  • Hallucinate and cannot explain why they respond
  • Forget past actions and context
  • Rely on opaque, centralized data sources
  • Cannot prove the provenance or integrity of their knowledge
As agents move from demos to autonomous systems, these limitations become critical. 
Trusted AI requires more than better prompts — it requires trusted memory and context.
This course introduces a neuro-symbolic approach to AI agent design: 
  • Neural AI (LLMs) for reasoning and language
  • Symbolic AI (Knowledge Graphs) for structure, memory, and inference
  • Blockchain-backed verifiability for provenance, trust, and data privacy
At the center is the OriginTrail Decentralized Knowledge Graph (DKG) — a decentralized infrastructure for persistent, verifiable, ownable knowledge.

What will you learn?

Through this course, you will learn:
  • Why are large language models (LLMs) alone insufficient for trusted AI agents?
  • What is OriginTrail's infrastructure for trusted AI?
  • How neuro-symbolic AI combines LLMs with knowledge graphs to ground agent behavior in a verifiable context?
  • How to build agents using various agentic frameworks, from Eliza OS to Microsoft Copilot, and integrate them with the OriginTrail DKG?
By the end of the course, you will have:
  • A running DKG Edge Node
  • A functional DKG-powered AI agent
  • A persistent memory layer backed by the DKG
  • Custom agent tools that:
  • Record actions and reasoning
  • Create persistent, queryable context graphs
  • Support collective, multi-agent memory
  • A foundation you can reuse for real-world agent systems

Who is this course for?

This course is for you if you are:
  • A software engineer or vibe coder building AI agents or AI-powered systems
  • Working with RAG, MCP, LLM tooling, or autonomous agents
  • Interested in verifiable AI, data privacy, provenance, and explainability
  • Exploring Web3 + AI infrastructure, and want practical guidance
Not required:
  • Deep blockchain knowledge
  • Deep agentic AI knowledge
  • Prior OriginTrail experience

About the instructors

Branimir Rakić

Founder and CTO @OriginTrail

With deep experience in decentralized and semantic networks, Branimir is the leading architect and creator of the OriginTrail DKG, building technology for discoverable, verifiable, AI-ready knowledge to power decentralized and trusted AI.

Nikita Abrashkin

Lead Infrastructure Engineer @Trace Labs — OriginTrail Core Developers

Nikita is an expert in building high-performance multi-cloud and decentralized infrastructures, including blockchain node networks and RPC systems. With a background in full-stack development, he’s experienced in Blockchain DevOps, CI/CD, monitoring/observability, and infrastructure automation, with a focus on optimizing high-throughput systems and managing GPU clusters for AI/ML workloads.

Zvonimir Šćulac

Software Engineer @Trace Labs — OriginTrail Core Developers

Zvonimir is a software engineer specializing in distributed systems, blockchain and AI. He focuses on node and SDK development, smart contracts, and building performant ETL pipelines, enabling AI agent use cases that bridge decentralized technologies with practical applications.

Shaw Walters

Founder @Eliza Labs & Creator @ElizaOS

Focused on advancing transparent and community-driven AI, Shaw develops open-source agentic systems that support experimentation and rapid innovation. His work on ElizaOS has positioned the framework as a widely adopted resource for developers building intelligent agents.

Jurij Škornik

General Manager @Trace Labs — OriginTrail Core Developers

With a passion for Web3 and AI, and supply chain expertise from DHL, Jurij leads key OriginTrail-powered projects with global partners across diverse industries — from supply chains to healthcare, construction, and assurance — helping them unlock value through the OriginTrail trusted knowledge foundation for the AI era.
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