{"id":53477,"date":"2026-04-14T22:31:00","date_gmt":"2026-04-14T15:31:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=53477"},"modified":"2026-04-14T22:31:00","modified_gmt":"2026-04-14T15:31:00","slug":"the-awakening-moment-for-agents-everos-brand-upgrade-and-public-beta-launches-the-era-of-self-evolving-memory","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=53477","title":{"rendered":"The &#8220;Awakening Moment&#8221; for Agents: EverOS Brand Upgrade and Public Beta Launches the Era of Self-Evolving Memory"},"content":{"rendered":"<p><span class=\"legendSpanClass\">SAN MATEO, Calif.<\/span>, <span class=\"legendSpanClass\">April 14, 2026<\/span> \/PRNewswire\/ &#8212; As a new generation of proactive, execution-oriented agents (such as OpenClaw and Hermes) surges, AI is undergoing a paradigm shift\u2014from being a &#8220;passive tool&#8221; to becoming a &#8220;Self-Evolving entity.&#8221; However, constrained by context window limits and memory deficits, existing agents struggle to reuse experience and evolve autonomously in complex tasks.<\/p>\n<p>At this critical juncture, the EverMind team announces a major brand upgrade and the global public beta of EverOS, the industry&#8217;s first memory layer designed specifically for self-evolving agents. Adapting to the revolution brought by AI Coding, EverOS breaks the traditional infrastructure mold, rebuilding itself as a next-generation foundation natively suited for seamless agent invocation. Backed by core algorithms featured at the ACL 2026 conference and a pioneering Skills Evolution Engine, EverOS empowers agents to automatically distill skills from interactions, boosting the success rate of complex tasks by up to 234.8%.<\/p>\n<p>This is not just an infrastructure overhaul; it is the injection of a &#8220;digital soul&#8221; capable of continual learning, officially opening the prologue to agent awakening.<\/p>\n<p><b>For more information, please visit:<\/b><\/p>\n<ul type=\"disc\">\n<li><b>Website: <\/b>everos.evermind.ai<\/li>\n<li><b>GitHub: <\/b>github.com\/EverMind-AI\/EverOS\u00a0<\/li>\n<\/ul>\n<div class=\"PRN_ImbeddedAssetReference\">\n<p><a href=\"https:\/\/mma.prnasia.com\/media2\/2956091\/image__10.html\" target=\"_blank\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/mma.prnasia.com\/media2\/2956091\/image__10.jpg?p=medium600\" title=\"EverMind.ai\" alt=\"EverMind.ai\"\/><\/a><br \/><span>EverMind.ai<\/span><\/p>\n<\/div>\n<p><b>Why Has AI Memory Suddenly Become the Industry&#8217;s Lifeline?<\/b><\/p>\n<p>Over the past year, the trajectory of Large Language Models (LLMs) hit a clear inflection point: the arms race for parameter scale is slowing down, while the battle for Harness Engineering and &#8220;Memory Mechanisms&#8221; is intensifying. The industry is trying to solve a hardcore engineering problem: How do we help AI break through context window limits, achieve personalization and behavioral consistency, and enable self-evolution?<\/p>\n<p>The answer lies in the convergence of three forces:<\/p>\n<ul type=\"disc\">\n<li><b>Context Window Limits and Cost Black Holes: <\/b>Pumping hundreds of thousands of tokens into an API call for every interaction leads to soaring Time To First <span>Token<\/span> (TTFT) and astronomical inference costs.<\/li>\n<li><b>The Rise of Execution Agents: <\/b>Agents are shifting from &#8220;chat boxes&#8221; to &#8220;digital colleagues.&#8221; A proactive agent must deeply understand user preferences and maintain state across different task cycles.<\/li>\n<li><b>The Mission of Next-Gen AI: <\/b>True intelligence grows through interaction. AI must evolve continuously based on feedback from humans, other agents, and simulated environments.<\/li>\n<\/ul>\n<p><b>The Hardcore Solution of EverOS: Reconstructing the Agent Memory Foundation<\/b><\/p>\n<p>Instead of patching existing RAG frameworks, EverMind tackled the problem from first principles, resulting in four breakthrough innovations:<\/p>\n<p><b>1. Self-Evolving Agent Memory: The Secret Weapon Behind Surging Success Rates<\/b><\/p>\n<p>EverOS introduces a pipeline that turns raw experience into reusable skills.<\/p>\n<ul type=\"disc\">\n<li><b>Agent Case Extraction: <\/b>Automatically extracts Task Intent, Approach, Key Insights, and Quality Scores from completed tasks.<\/li>\n<li><b>Semantic Clustering: <\/b>Groups similar task experiences via vector-based semantic clustering.<\/li>\n<li><b>Agent Skill Emergence: <\/b>Distills clustered experiences into Standard Operating Procedures (SOPs). Skills evolve incrementally\u2014successes reinforce steps, while failures add trap warnings.<\/li>\n<\/ul>\n<p>According to the EvoAgentBench evaluation framework developed by EverMind, implementing the Skills self-evolution strategy yielded a massive <b>234.8% relative increase<\/b> in task success rates for software engineering problems using a 27B model, allowing it to match the performance of a 397B model.<\/p>\n<p><b>2. mRAG Hybrid Retrieval Architecture: Breaking Modal Barriers<\/b><\/p>\n<p>EverOS introduces a Multimodal Retrieval-Augmented Generation (mRAG) strategy. It natively parses and stores diverse data types (PDFs, images, Word docs, spreadsheets, URLs) via a single API. Its hybrid retrieval fuses dense semantic vectors, sparse keyword matching, and multimodal alignment, ensuring that agents can accurately recall complex, cross-modal context.<\/p>\n<p><b>3. HyperMem Architecture: The Hypergraph Memory Network Recognized by ACL 2026<\/b><\/p>\n<p>Addressing cross-time associations and multi-hop reasoning, EverOS abandons flat vector databases for an innovative hypergraph structure. Based on the paper &#8220;HyperMem: Hypergraph Memory for Long-term Conversations&#8221; (accepted at ACL 2026), this architecture allows a single hyperedge to connect multiple nodes, perfectly capturing complex real-world entity relationships with ultra-low latency.<\/p>\n<p><b>4. Smooth Developer Experience: Transparent Management and Playgrounds<\/b><\/p>\n<p>EverOS offers a highly restrained RESTful API and smooth data migration paths. The EverOS Cloud Platform features intuitive Playgrounds:<\/p>\n<ul type=\"disc\">\n<li><b>Coding Playground: <\/b>Integrated with Google Colab for immersive API testing.<\/li>\n<li><b>Chat Playground: <\/b>A visual comparison window demonstrating how EverOS memory transforms standard LLM responses into highly personalized interactions.<\/li>\n<\/ul>\n<p><b>The AGI Endgame: From &#8220;Swiss Army Knife&#8221; to &#8220;Digital Soul&#8221;<\/b><\/p>\n<p>Current\u00a0LLMs are like incredibly sharp Swiss Army knives\u2014powerful, but cold tools that forget you the moment you put them away. Giving AI a consistent, personalized, and evolving memory is akin to giving it a &#8220;digital soul.&#8221;<\/p>\n<p>When your OpenClaw agent remembers your coding habits through the Skills engine, accurately retrieves a whiteboard sketch from three months ago via mRAG, and forms a tailored execution blueprint through trial and error, it ceases to be a replaceable API endpoint. It becomes a digital partner that truly understands you.<\/p>\n<p>Regardless of how industry trends shift, EverMind has consistently advanced toward the AGI endgame: from building long-term memory benchmarks, to breaking through 100M context windows, to constructing end-to-end continual evolution architectures, and now to multimodal and Skills self-evolution capabilities for agents. When AGI arrives and we command agent armies to serve our work and lives, it may well be EverOS\u2014this memory hub\u2014that provides a persistent, consistent, and secure home for our digital souls.<\/p>\n<p><b>Join the Co-Creation: Global Call for Use Cases and Plugins<\/b><\/p>\n<p>During the public beta, EverMind is launching the Global Developer Community Co-Creation Plan. We invite developers, researchers, and geeks to build innovative applications in vertical domains and develop creative plugins for execution agents like OpenClaw. EverMind will award the Top 5 Contributors each quarter with substantial EverOS commercial Credit quotas, exclusive technical support, and global promotion.<\/p>\n<p>Start your journey today:<\/p>\n<ul type=\"disc\">\n<li><b>Register: <\/b>Visit everos.evermind.ai to create a developer account.<\/li>\n<li><b>Claude Code: <\/b>Run install memory plugin from <a href=\"https:\/\/github.com\/EverMind-AI\/evermem-claude-code\" target=\"_blank\" rel=\"nofollow\">https:\/\/github.com\/EverMind-AI\/evermem-claude-code<\/a>\u00a0<\/li>\n<li><b>OpenClaw: <\/b>Tell your agent to install the EverOS SKILL.md plugin (for open-source local deployment users).<\/li>\n<\/ul>\n<p><b><i>Inject the first line of &#8220;soul&#8221; code into your Agent today.\u00a0<\/i><\/b><\/p>\n<div class=\"PRN_ImbeddedAssetReference\">  <\/div>","protected":false},"excerpt":{"rendered":"<p><!-- wp:html --><\/p>\n<p><span class=\"legendSpanClass\">SAN MATEO, Calif.<\/span>, <span class=\"legendSpanClass\">April 14, 2026<\/span> \/PRNewswire\/ &#8212; As a new generation of proactive, execution-oriented agents (such as OpenClaw and Hermes) surges, AI is undergoing a paradigm shift\u2014from being a &#8220;passive tool&#8221; to becoming a &#8220;Self-Evolving entity.&#8221; However, constrained by context window limits and memory deficits, existing agents struggle to reuse experience and evolve autonomously in complex tasks.<\/p>\n<p>At this critical juncture, the EverMind team announces a major brand upgrade and the global public beta of EverOS, the industry&#8217;s first memory layer designed specifically for self-evolving agents. Adapting to the revolution brought by AI Coding, EverOS breaks the traditional infrastructure mold, rebuilding itself as a next-generation foundation natively suited for seamless agent invocation. Backed by core algorithms featured at the ACL 2026 conference and a pioneering Skills Evolution Engine, EverOS empowers agents to automatically distill skills from interactions, boosting the success rate of complex tasks by up to 234.8%.<\/p>\n<p>This is not just an infrastructure overhaul; it is the injection of a &#8220;digital soul&#8221; capable of continual learning, officially opening the prologue to agent awakening.<\/p>\n<p><b>For more information, please visit:<\/b><\/p>\n<ul type=\"disc\">\n<li><b>Website: <\/b>everos.evermind.ai<\/li>\n<li><b>GitHub: <\/b>github.com\/EverMind-AI\/EverOS\u00a0<\/li>\n<\/ul>\n<div class=\"PRN_ImbeddedAssetReference\">\n<p><a href=\"https:\/\/mma.prnasia.com\/media2\/2956091\/image__10.html\" target=\"_blank\" rel=\"nofollow\"><img decoding=\"async\" src=\"https:\/\/mma.prnasia.com\/media2\/2956091\/image__10.jpg?p=medium600\" title=\"EverMind.ai\" alt=\"EverMind.ai\"\/><\/a><br \/><span>EverMind.ai<\/span><\/p>\n<\/div>\n<p><b>Why Has AI Memory Suddenly Become the Industry&#8217;s Lifeline?<\/b><\/p>\n<p>Over the past year, the trajectory of Large Language Models (LLMs) hit a clear inflection point: the arms race for parameter scale is slowing down, while the battle for Harness Engineering and &#8220;Memory Mechanisms&#8221; is intensifying. The industry is trying to solve a hardcore engineering problem: How do we help AI break through context window limits, achieve personalization and behavioral consistency, and enable self-evolution?<\/p>\n<p>The answer lies in the convergence of three forces:<\/p>\n<ul type=\"disc\">\n<li><b>Context Window Limits and Cost Black Holes: <\/b>Pumping hundreds of thousands of tokens into an API call for every interaction leads to soaring Time To First <span>Token<\/span> (TTFT) and astronomical inference costs.<\/li>\n<li><b>The Rise of Execution Agents: <\/b>Agents are shifting from &#8220;chat boxes&#8221; to &#8220;digital colleagues.&#8221; A proactive agent must deeply understand user preferences and maintain state across different task cycles.<\/li>\n<li><b>The Mission of Next-Gen AI: <\/b>True intelligence grows through interaction. AI must evolve continuously based on feedback from humans, other agents, and simulated environments.<\/li>\n<\/ul>\n<p><b>The Hardcore Solution of EverOS: Reconstructing the Agent Memory Foundation<\/b><\/p>\n<p>Instead of patching existing RAG frameworks, EverMind tackled the problem from first principles, resulting in four breakthrough innovations:<\/p>\n<p><b>1. Self-Evolving Agent Memory: The Secret Weapon Behind Surging Success Rates<\/b><\/p>\n<p>EverOS introduces a pipeline that turns raw experience into reusable skills.<\/p>\n<ul type=\"disc\">\n<li><b>Agent Case Extraction: <\/b>Automatically extracts Task Intent, Approach, Key Insights, and Quality Scores from completed tasks.<\/li>\n<li><b>Semantic Clustering: <\/b>Groups similar task experiences via vector-based semantic clustering.<\/li>\n<li><b>Agent Skill Emergence: <\/b>Distills clustered experiences into Standard Operating Procedures (SOPs). Skills evolve incrementally\u2014successes reinforce steps, while failures add trap warnings.<\/li>\n<\/ul>\n<p>According to the EvoAgentBench evaluation framework developed by EverMind, implementing the Skills self-evolution strategy yielded a massive <b>234.8% relative increase<\/b> in task success rates for software engineering problems using a 27B model, allowing it to match the performance of a 397B model.<\/p>\n<p><b>2. mRAG Hybrid Retrieval Architecture: Breaking Modal Barriers<\/b><\/p>\n<p>EverOS introduces a Multimodal Retrieval-Augmented Generation (mRAG) strategy. It natively parses and stores diverse data types (PDFs, images, Word docs, spreadsheets, URLs) via a single API. Its hybrid retrieval fuses dense semantic vectors, sparse keyword matching, and multimodal alignment, ensuring that agents can accurately recall complex, cross-modal context.<\/p>\n<p><b>3. HyperMem Architecture: The Hypergraph Memory Network Recognized by ACL 2026<\/b><\/p>\n<p>Addressing cross-time associations and multi-hop reasoning, EverOS abandons flat vector databases for an innovative hypergraph structure. Based on the paper &#8220;HyperMem: Hypergraph Memory for Long-term Conversations&#8221; (accepted at ACL 2026), this architecture allows a single hyperedge to connect multiple nodes, perfectly capturing complex real-world entity relationships with ultra-low latency.<\/p>\n<p><b>4. Smooth Developer Experience: Transparent Management and Playgrounds<\/b><\/p>\n<p>EverOS offers a highly restrained RESTful API and smooth data migration paths. The EverOS Cloud Platform features intuitive Playgrounds:<\/p>\n<ul type=\"disc\">\n<li><b>Coding Playground: <\/b>Integrated with Google Colab for immersive API testing.<\/li>\n<li><b>Chat Playground: <\/b>A visual comparison window demonstrating how EverOS memory transforms standard LLM responses into highly personalized interactions.<\/li>\n<\/ul>\n<p><b>The AGI Endgame: From &#8220;Swiss Army Knife&#8221; to &#8220;Digital Soul&#8221;<\/b><\/p>\n<p>Current\u00a0LLMs are like incredibly sharp Swiss Army knives\u2014powerful, but cold tools that forget you the moment you put them away. Giving AI a consistent, personalized, and evolving memory is akin to giving it a &#8220;digital soul.&#8221;<\/p>\n<p>When your OpenClaw agent remembers your coding habits through the Skills engine, accurately retrieves a whiteboard sketch from three months ago via mRAG, and forms a tailored execution blueprint through trial and error, it ceases to be a replaceable API endpoint. It becomes a digital partner that truly understands you.<\/p>\n<p>Regardless of how industry trends shift, EverMind has consistently advanced toward the AGI endgame: from building long-term memory benchmarks, to breaking through 100M context windows, to constructing end-to-end continual evolution architectures, and now to multimodal and Skills self-evolution capabilities for agents. When AGI arrives and we command agent armies to serve our work and lives, it may well be EverOS\u2014this memory hub\u2014that provides a persistent, consistent, and secure home for our digital souls.<\/p>\n<p><b>Join the Co-Creation: Global Call for Use Cases and Plugins<\/b><\/p>\n<p>During the public beta, EverMind is launching the Global Developer Community Co-Creation Plan. We invite developers, researchers, and geeks to build innovative applications in vertical domains and develop creative plugins for execution agents like OpenClaw. EverMind will award the Top 5 Contributors each quarter with substantial EverOS commercial Credit quotas, exclusive technical support, and global promotion.<\/p>\n<p>Start your journey today:<\/p>\n<ul type=\"disc\">\n<li><b>Register: <\/b>Visit everos.evermind.ai to create a developer account.<\/li>\n<li><b>Claude Code: <\/b>Run install memory plugin from <a href=\"https:\/\/github.com\/EverMind-AI\/evermem-claude-code\" target=\"_blank\" rel=\"nofollow\">https:\/\/github.com\/EverMind-AI\/evermem-claude-code<\/a>\u00a0<\/li>\n<li><b>OpenClaw: <\/b>Tell your agent to install the EverOS SKILL.md plugin (for open-source local deployment users).<\/li>\n<\/ul>\n<p><b><i>Inject the first line of &#8220;soul&#8221; code into your Agent today.\u00a0<\/i><\/b><\/p>\n<div class=\"PRN_ImbeddedAssetReference\">  <\/div>\n<p><!-- \/wp:html --><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-53477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/53477","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=53477"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/53477\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=53477"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=53477"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=53477"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}