Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Patch the Planet’ pairs automated analysis with expert review to uncover and remediate vulnerabilities in core infrastructure ...

Microsoft has announced the public preview of Azure Container Apps Sandboxes. This new ARM resource type is Microsoft.App/SandboxGroups runs untrusted code generated ...

Abstract: As a new and disruptive technology, the introduction of large language models (LLMs) may be the first step into a paradigm shift of how we develop and deploy software-intensive systems.

Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s ...

midscene-python/ ├── midscene/ # Core framework │ ├── core/ # Core framework │ │ ├── agent/ # Agent system │ │ ├── insight/ # AI inference engine │ │ ├── ai_model/ # AI model integration │ │ ├── yaml ...

Your AI agents call tools, browse the web, query databases, and delegate to other agents. Once deployed, they make decisions autonomously. You need answers to three questions: 2. Which agent did this?