New tools are hardening production stacks—security scanners catching vulnerabilities, orchestration platforms managing workflows, review gates keeping agents honest. The infrastructure race is real, and it's getting boring in the best way: engineering problems instead of moonshots.
Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mounts, executives and technology leaders are looking to agentic AI to drive the measurable financial outcomes their businesses seek. A prime opportunity for AI agents…
Read SourceWelcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now NVIDIA sets up a crude self-improvement loop for real world robotics:…What if you could take the best ideas from AI agents and put them into the […]
Read SourceOpen-source platform layer for AI agents in production
Read SourceSecurity scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
Read Source🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.
Read SourceAn open-source Python SDK and CLI Starter Toolkit for deploying AI agents to Volcengine AgentKit Runtime.
Read SourceThis post walks through how AG-UI integrates into the Fullstack AgentCore Solution Template (FAST) to build interactive agent frontends on Amazon Bedrock AgentCore. We then show how CopilotKit extends this with generative UI, shared state, and human-in-the-loop interactions, all deployed on Amazon Bedrock AgentCore.
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Read SourceA git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.
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