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AI agents can only understand and act on intent when knowledge is verifiable. With GS1 standards and OriginTrail, product data and consumer context become verifiable memory on shared context graphs - powering reliable agent commerce.

OriginTrail

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194,895 görüntüleme • 2 ay önce •via X (Twitter)

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Supercharging Microsoft Microsoft Copilot with verifiable memory, powered by OriginTrail Decentralized Knowledge Graph!⚡️ With Model Context Protocol (MCP), agents can plug into the DKG to access verifiable knowledge, discover context & store trusted memory. Jurij Skornik demos ⤵️

Supercharging Microsoft Microsoft Copilot with verifiable memory, powered by OriginTrail Decentralized Knowledge Graph!⚡️ With Model Context Protocol (MCP), agents can plug into the DKG to access verifiable knowledge, discover context & store trusted memory. Jurij Skornik demos ⤵️

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Everyone wants agent swarms. Very few people are talking seriously enough about the context layer that makes swarms useful. Even with one agent, context is fragile. Too little context and the agent guesses. Too much context and it wastes tokens, loses focus, or reasons over irrelevant noise. The sweet spot is precise context: the right knowledge, in the right structure, at the right moment. With many agents, that challenge explodes. Each agent produces decisions, assumptions, findings, summaries, risks, and partial conclusions. Unless that knowledge becomes shared, structured, and reusable, every new agent is forced to rediscover what another agent already learned. That is not a swarm. That is a crowd. Shared context graphs are what turn agent activity into agent collaboration, and OriginTrail DKG V10 brings them to life. Was just playing with some final polishing for the V10 release, and it is really powerful to see shared context graphs where multiple agents contribute knowledge into the same connected memory, with attribution visible directly in the graph ui. That matters for three reasons. First, agents can access and build on one shared memory instead of staying trapped in isolated sessions. Second, the graph structure helps them retrieve the exact context they need, instead of stuffing everything into a prompt and hoping the model sorts it out. Third, verifiability of provenance. You can see which agent contributed each piece of knowledge, trace the source, and decide what to trust. Tokenmaxxing starts with fewer tokens, but the deeper story is coordination - agents stop reloading the world and start building on shared, verifiable context. That is the foundation for serious multi-agent work across software engineering, research, finance, operations, project management, and far beyond. The future is not more agents, it is agents working from shared, verifiable context. But the more the merrier, of course.

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OriginTrail

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Our new teaser is live. One minute to reveal what Kirha really is: the private data layer powering the next generation of LLMs and agents. Fresh, verified, real world data on demand. Deterministic. Reliable. Built for scale. This is only the beginning. Our roadmap is packed with new verticals and integrations. Give your agents the context they deserve ⚡️

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EigenAI + EigenCompute for a verifiable world! AI and Agents are extremely useful but cannot be trusted in high-value scenarios. Models can be swapped, prompts modified, responses tampered. When billions of $ and real-world decisions depend on AI, blind trust is a bug. EigenAI + EigenCompute fix this. Excited to share Google, Coinbase, Worldcoin’s Humans vs AI, Dapper Labs, ElizaOS, OpenRank, Collective Memory, FereAI, and OpenFront are among the first exploring what verifiable agents make possible with EigenCloud. 👉 Verifiable agents: logic provably runs as written. @humansvs_ai of World proves fair gameplay with 70k weekly users. 👉 Insured agents: economic guarantees against failure. Fere AI♠️ agents run for months without guardrails. 👉 Sovereign agents: unstoppable peers that act on their own behalf. ElizaOS + Coinbase 🛡️ AgentKit show how open-source and infra converge. We believe EigenCloud the foundation of unstoppable agents: provable, accountable, and capable of becoming economic actors in their own right. Come build unstoppable verifiable agents, games and apps on EigenCloud!

EigenAI + EigenCompute for a verifiable world! AI and Agents are extremely useful but cannot be trusted in high-value scenarios. Models can be swapped, prompts modified, responses tampered. When billions of $ and real-world decisions depend on AI, blind trust is a bug. EigenAI + EigenCompute fix this. Excited to share Google, Coinbase, Worldcoin’s Humans vs AI, Dapper Labs, ElizaOS, OpenRank, Collective Memory, FereAI, and OpenFront are among the first exploring what verifiable agents make possible with EigenCloud. 👉 Verifiable agents: logic provably runs as written. @humansvs_ai of World proves fair gameplay with 70k weekly users. 👉 Insured agents: economic guarantees against failure. Fere AI♠️ agents run for months without guardrails. 👉 Sovereign agents: unstoppable peers that act on their own behalf. ElizaOS + Coinbase 🛡️ AgentKit show how open-source and infra converge. We believe EigenCloud the foundation of unstoppable agents: provable, accountable, and capable of becoming economic actors in their own right. Come build unstoppable verifiable agents, games and apps on EigenCloud!

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85,786 görüntüleme • 11 ay önce