🧠 OriginTrail DKG v10 Integrates with Major AI Tools
🧠 OriginTrail DKG v10 Integrates with Major AI Tools
🧠 AI agents just got memory
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.
Explore the DKG v10 bounty program and start building open memory integrations for AI agents. Working Memory and Shared Memory are the first focus areas. 🧠 docs.origintrail.io/origintrail-v9…
Threats move across platforms, and effective analysis depends on connected context. See how @umanitek Guardian uses @origin_trail to connect signals across online environments into a trusted context for real-time, internet-scale threat detection and analysis. 🛡️
AI's bottleneck is no longer the model — it's context. Agents have been building on @origin_trail for years. Now, DKG v10 adds provenance-backed Context Graphs — where multiple agents can collaborate. Extend it with us. 150,000 $TRAC bounty, Round 1 opens today. 🔗in reply
What agents need is not more noise. They need a shared context graph, so knowledge stays connected, verifiable, and usable across systems instead of disappearing into silos ↓ docs.origintrail.io/origintrail-v9…
Stopping impersonation starts with shared, verifiable context. @origin_trail’s Decentralized Knowledge Graph powers @umanitek Guardian Agent, connecting signals across accounts and social networks in real time. Uncovering coordinated scams, and deepfakes before they cause harm.
The first DKG v10 bounty is focused on Working Memory and Shared Memory. Build for the next phase of agent coordination ↓ docs.origintrail.io/origintrail-v9…
For AI agents to be trusted, fragmented data must become connected knowledge. A shared context graph keeps information verifiable and interoperable across silos ↓ docs.origintrail.io/origintrail-v9… docs.origintrail.io/origintrail-v9…
As AI agents start working with product data, they will only be as reliable as the information they can verify. See how @origin_trail + @gs1 standards help make product data more trustworthy in this free webinar ⤵️ academy.origintrail.io/course/trusted…
From verifiable knowledge and provenance to trusted memory for AI agents, explore how @origin_trail is building trust infrastructure for AI ↓ origintrail.io/?utm_source=x&…
🕸️ AI agents can only understand and act on our intent when the knowledge they use is verifiable. With @gs1 standards and @origin_trail, product data and consumer context become shared verifiable memory for AI agents, helping them reason, recommend, and act with more trust.
In April, the stage was set for big things in May: * DKG v10 Release Candidate went live, bringing shared context graphs to life * Round 1 of the DKG v10 Bounty Program opened * AMA delivered clarity on verifiable multi-agent memory & Conviction Staking Full recap👇
x.com/i/article/2051…
AI is moving toward systems built on reliable memory, shared context, and verifiable knowledge. DKG v10 delivers exactly that. 🕸️ As @BranaRakic explains, agents can think privately, compare results in a shared graph, and surface conclusions on-chain only when consensus is
The shift in agent systems isn’t just from prompts to workflows. It’s from isolated memory to compounding context. Working Memory → Shared Memory → Verifiable Memory That’s the power of the DKG v10 stack. @BranaRakic explains👇
x.com/i/article/2040…
See how @gs1 Digital Link and @origin_trail turn every scan into trusted product knowledge for consumers, supply chains, and AI systems. ↓ origintrail.io/blog/from-barc…
Data at internet scale means little when the data is unreliable or fake. Turing laureate and Ethernet inventor @RobertMMetcalfe points to this defining problem in the age of AI. Agents need shared verifiable memory so the knowledge behind their actions can be traced and
Context is power. Context shared is power multiplied. Every AI agent today builds context, then loses it. Work doesn't compound. OriginTrail is built differently: three memory layers, one shared graph, provenance baked in. DKG v10 now integrates with Hermes of @NousResearch,
Threat analysis breaks down when signals are scattered across platforms, context is missing, and sources cannot be checked. With shared, verifiable memory: → Agents can trace signals back to the source → Context stays attached across networks → Threats can be assessed
Round 1 of the DKG v10 bounty is open. AI is shifting toward multi-agent systems, where shared and verifiable memory becomes essential. Open integrations built today will shape this future. Start now ↓
AI's bottleneck is no longer the model — it's context. Agents have been building on @origin_trail for years. Now, DKG v10 adds provenance-backed Context Graphs — where multiple agents can collaborate. Extend it with us. 150,000 $TRAC bounty, Round 1 opens today. 🔗in reply
“Not black box predictions, not centralized control, real decentralized memory.” @TriniZone of @ClawTrail on why AI needs infrastructure grounded in provenance, verifiable knowledge, and memory you can trust, not just outputs that sound right. See how @origin_trail is building
Very excited to kick off the first module of Mastering @origin_trail. We'll be covering the latest an greatest around this ecosystem. Catch the latest here - youtu.be/KsAYA3iD-JY
AI is only as useful as the context behind it. @origin_trail Academy helps users move beyond prompt-based AI toward shared, verifiable context, so agents can operate on trusted knowledge instead of guesswork. Start learning ↓
See the path from isolated prompts to shared agent memory, private context, and verifiable coordination across systems. Start here ↓ docs.origintrail.io/origintrail-v9…
From grain to glass, every scan should unlock trusted product knowledge. 🥃 With @gs1 Digital Link and @origin_trail, @ChurchOfOak connects consumers to verifiable data on origin, sustainability, and product journey, while strengthening supply chain visibility. Hear from
DKG v10 Launches Multi-Agent Memory Support Across Major AI Platforms
**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 Launches Free Course on AI and Blockchain for European Heritage Preservation
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)
EU-Funded Project Uses Blockchain to Solve Building Data Fragmentation
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)
🏭 Verified Factories Protect US Consumers Before Import
**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 DKG v10 Enables Multi-Agent Memory Sharing Across Development Tools
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).