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    <title>InfoQ - Agents</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Agents feed</description>
    <item>
      <title>Elastic Open-Sources Atlas Agent Memory Based on Cognitive Science</title>
      <link>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/elastic-atlas-agent-memory/en/headerimage/generatedHeaderImage-1782569563186.jpg"/&gt;&lt;p&gt;Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>ElasticSearch</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 30 Jun 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/elastic-atlas-agent-memory/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Anthony Alford</dc:creator>
      <dc:date>2026-06-30T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/elastic-atlas-agent-memory/en</dc:identifier>
    </item>
    <item>
      <title>AWS Previews FinOps Agent for Cost Analysis and Optimization</title>
      <link>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/aws-finops-agent/en/headerimage/generatedHeaderImage-1781884717104.jpg"/&gt;&lt;p&gt;Amazon has released AWS FinOps Agent in public preview, a managed service that automates several common FinOps workflows. The agent can investigate cost anomalies, correlate spend changes with AWS activity data, and integrate with tools such as Slack and Jira to route findings to resource owners.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>FinOps</category>
      <category>AWS</category>
      <category>Generative AI</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 28 Jun 2026 05:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/aws-finops-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-06-28T05:55:00Z</dc:date>
      <dc:identifier>/news/2026/06/aws-finops-agent/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Introduces Eve, an Open-Source Framework for Building AI Agents</title>
      <link>https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/vercel-eve-agents/en/headerimage/generatedHeaderImage-1782478004947.jpg"/&gt;&lt;p&gt;Vercel has released Eve, an open-source framework for building, deploying, and operating AI agents in production. The framework uses a filesystem-based project structure to organize agent instructions, tools, skills, subagents, communication channels, and scheduled tasks, enabling developers to define agent behavior while reducing the amount of supporting infrastructure they need to implement.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Cloud Computing</category>
      <category>Open Source</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 26 Jun 2026 16:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-06-26T16:39:00Z</dc:date>
      <dc:identifier>/news/2026/06/vercel-eve-agents/en</dc:identifier>
    </item>
    <item>
      <title>Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows</title>
      <link>https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/06/dapr-1-18-cryptographic-ai/en/headerimage/generatedHeaderImage-1782128447195.jpg"/&gt;&lt;p&gt;Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>dapr</category>
      <category>Trust</category>
      <category>Cryptography</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 26 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-06-26T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/dapr-1-18-cryptographic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Grab Builds Secure Agentic AI Workload Platform</title>
      <link>https://www.infoq.com/news/2026/06/grab-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Grab's security team built Palana, a Kubernetes-native secure execution platform, to run autonomous AI agents safely. Unlike deterministic software, model-driven agents exhibit unpredictable tool-use, code-writing, and prompt injection risks. Palana contains these threats at the infrastructure level using isolated namespaces, out-of-process control planes, and proxy-mediated, Vault-backed secrets.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 25 Jun 2026 02:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/grab-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2026-06-25T02:08:00Z</dc:date>
      <dc:identifier>/news/2026/06/grab-ai-platform/en</dc:identifier>
    </item>
    <item>
      <title>AI Is Moving up the Software Lifecycle: from Code Review to PRD Governance</title>
      <link>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Technology companies are extending AI beyond code generation into earlier stages of the software lifecycle, including PRD validation, design inputs, and code review. Initiatives from Uber, DoorDash, and Cloudflare highlight a shift toward AI-driven governance layers that evaluate engineering artifacts before implementation while preserving human oversight across the development pipeline.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Documentation</category>
      <category>Requirements</category>
      <category>Software Development Lifecycle</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>Agents</category>
      <category>Governance</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Code Reviews</category>
      <category>Software Engineering</category>
      <category>Workflow / BPM</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 24 Jun 2026 14:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/ai-prd-code-review-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-06-24T14:57:00Z</dc:date>
      <dc:identifier>/news/2026/06/ai-prd-code-review-governance/en</dc:identifier>
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