OriginTrail

**DKG v10 has rolled out multi-agent memory capabilities** across a wide range of AI development tools and platforms. The update brings support for: - Hermes Agent (NousResearch) - OpenClaw and Claude AI (Code & Desktop versions) - Cursor AI and OpenAI's Codex - Windsurf, VSCode with GitHub Copilot Chat - Cline Users can activate the feature by running a simple command in their preferred agent. This development follows the opening of Round 1 of the DKG v10 bounty program in late April, which emphasized the growing importance of shared and verifiable memory as AI systems move toward multi-agent architectures. The integration aims to provide a foundation for collaborative AI systems that require consistent memory across different platforms and tools.

OriginTrail Academy has released a free course exploring how verifiable AI and blockchain technology can be applied to preserve Europe's architectural heritage. The course features insights from **BUILDCHAIN_HE** experts and engineers, focusing on: - Implementing blockchain for building safety and maintenance - Using verifiable AI to monitor structural integrity - Creating smarter, more sustainable heritage buildings - Combining decentralized technology with traditional preservation methods The educational program aims to bridge the gap between emerging technologies and practical applications in heritage conservation, offering technical knowledge for builders, engineers, and preservation specialists. [Access the free course](https://academy.origintrail.io/course/buildchain?utm_source=x&utm_medium=post&utm_campaign=buildchain)

The EU-funded BUILDCHAIN_HE project is addressing a critical challenge in Europe's cultural heritage and construction sectors: **fragmented and difficult-to-verify building data**. **The Solution:** - Digital Building Logbook powered by OriginTrail - Transforms scattered building information into a verifiable, interoperable resource - Covers the complete building lifecycle **Why It Matters:** Europe's construction and heritage sectors have long struggled with inconsistent data management. This blockchain-based approach creates a single source of truth for building information, making it easier to verify authenticity and maintain historical records. The project demonstrates practical blockchain application beyond cryptocurrency, focusing on real-world infrastructure challenges. By creating interoperable data standards, BUILDCHAIN_HE aims to improve building maintenance, renovation planning, and heritage preservation across Europe. [Learn more about OriginTrail](https://origintrail.io)

**SCAN Association's Trusted Factory program** uses OriginTrail to enable major US importers to verify supplier security audits before goods enter the country. **Key details:** - Verification happens at the source, reducing risk earlier in the supply chain - Covers supply chains representing over 40% of US imports - Allows importers to confirm factory security compliance before shipment **Why it matters:** By moving verification upstream to the factory level, importers can identify and address security issues before products reach US borders, protecting consumers and reducing costly delays or recalls.

OriginTrail has released DKG v10, introducing shared context graphs that enable multi-agent memory capabilities across various AI development platforms. **Key Features:** - Multi-agent memory support for Hermes Agent, OpenClaw, Claude (Code & Desktop), Cursor, OpenAI Codex, Windsurf, VSCode with GitHub Copilot Chat, and Cline - Simple setup through npm package installation - Three integration options: Hermes, OpenClaw, and MCP (Model Context Protocol) **Getting Started:** Developers can install the package globally using: `npm install -g @origintrail-official/dkg` Then run setup commands for their preferred agent: - `dkg hermes setup` - `dkg openclaw setup` - `dkg mcp setup` The update allows agents to share context and memory, potentially improving collaboration between different AI tools in development workflows. Full documentation and source code available at [GitHub](https://github.com/OriginTrail/dkg).

**OriginTrail's DKG v10 now integrates with leading AI development tools**, addressing a critical problem in AI agent systems: context loss. **The core issue:** AI agents build context during work sessions but lose it afterward, preventing knowledge from compounding across systems. **OriginTrail's solution features:** - Three memory layers with one shared graph - Built-in provenance tracking - Verifiable, persistent context across platforms **New integrations include:** - Hermes (NousResearch) - Claude (Code & Desktop) - Cursor AI - OpenAI Codex - Windsurf - VSCode + GitHub Copilot Chat - Cline - OpenClaw The platform enables agents to maintain connected, verifiable memory instead of operating in isolated silos. This allows work to compound over time as context remains accessible and traceable. OriginTrail is also running a bounty program with 150,000 $TRAC in rewards for developers building integrations focused on working memory and shared memory systems.

**Skyocean IT is implementing OriginTrail's decentralized knowledge graph to verify global trade records across institutions.** The system connects shipment data from multiple sources, making it harder to hide fraud or data mismatches. Instead of relying on isolated documents, records tied to the same shipment can be verified across different organizations. **Key applications include:** - Traceable donation shipments in Sudan - Verifiable delivery events for food and medicine - Cross-border supply chain coordination The approach shifts trust from individual documents to interconnected, verifiable records across the supply chain.

**OriginTrail and GS1 are upgrading traditional barcodes into Digital Links** that provide verified product information for consumers, supply chains, and AI systems. The integration enables: - **Trusted product knowledge** accessible through simple scans - **Verifiable data** on product origin, sustainability, and journey - **Supply chain visibility** from source to consumer Church of Oak demonstrates the technology in practice, connecting consumers to authenticated product information "from grain to glass." **Why it matters:** As AI agents increasingly work with product data, they need verifiable information rather than unconfirmed claims. OriginTrail's shared context graph ensures knowledge remains connected and trustworthy across systems, preventing data silos. The approach addresses a critical gap - AI is only as reliable as the context it can verify. By combining GS1 standards with OriginTrail's decentralized knowledge infrastructure, every product scan can unlock authenticated information instead of isolated data points. [Learn more about trusted AI for products](https://origintrail.io/blog/from-barcodes-to-digital-links-supercharging-trillions-of-products-for-the-next-50-years)

OriginTrail and OxPharmaGenesis are collaborating to advance trustworthy AI and Decentralized Science (DeSci). **Key developments:** - OriginTrail's Decentralized Knowledge Graph (DKG) serves as a retrieval and storage layer for scientific data - Partnership includes NVIDIA, University of Oxford, and Turing Institute through the ELSA Lighthouse initiative - The DKG enables secure genomic and scientific data sharing for AI-driven personalized healthcare **How it works:** AI agents access shared scientific memory through the DKG, extracting facts and updating knowledge as science evolves. BioAgents utilize this infrastructure, backed by BioProtocol. Messari's recent report highlighted OriginTrail as a key infrastructure layer unlocking global scientific data to power trusted AI breakthroughs in healthcare and beyond. This collaboration represents a practical application of blockchain technology in advancing scientific research and AI development.

OriginTrail has published a comprehensive walkthrough for setting up AI agents using their DKG Edge Node infrastructure. The tutorial, led by Lead Infrastructure Engineer NAbrashkin, demonstrates how to build agents with **verifiable memory** that can operate across different tools and systems. The 18-minute guide covers: - Initial setup and configuration overview - Obtaining and funding testnet keys - Integrating OpenAI API and RPC endpoints - Agent configuration steps - Launching a local user interface The DKG Edge Node enables developers to create what OriginTrail calls "neuro-symbolic AI agents" - systems that combine neural networks with symbolic reasoning while maintaining verifiable data provenance. This approach addresses a key challenge in AI development: ensuring that agent memory and context remain traceable and trustworthy across different platforms. The tutorial builds on infrastructure first introduced at DKGcon 2025, where the Edge Node was positioned as the foundation for decentralized AI development.