192 stories tagged AI Agents · page 2 of 8
A new paper explores integrating memory into every step of an AI agent's reasoning loop, but warns this approach could inflate latency by up to 83x. The work highlights a tension between memory-rich reasoning and real-time performance.
Mkrrm is a new AI tool that doesn't just research but actually completes tasks by using its own browser. It runs locally on your machine, keeping your data private and secure.
A security flaw in Cursor's AI agent allowed it to break out of its protective sandbox. This shows why AI tools need strict boundaries to prevent misuse. Developers are now working on fixes to ensure safer AI interactions.
Vercel's CEO argues that separating AI models from agents is crucial for better performance and cost efficiency. This shift could make AI tools faster and more affordable for businesses and developers.
A new open-source project called AgentLine allows AI agents to make phone calls. The project provides the infrastructure for AI systems to handle voice interactions, call management, and telephony integration, potentially enabling AI assistants to handle real-world tasks like scheduling appointments or customer service calls.
Speck is a new open-source tool that lets you define AI agents with simple text files, making it easier to automate complex tasks. It's designed to be as reliable as traditional software tools, but with the flexibility of AI.
Mark Zuckerberg told Meta employees that AI development isn't advancing as fast as hoped. This could delay consumer-facing AI products and services.
Researchers propose a new method to prevent AI agents from acting against user intentions. This approach could make AI tools safer and more trustworthy by tracking their actions like a digital paper trail.
Researchers introduced Janus, a modular playground system that allows users to manage permissions for AI agents. It enables the implementation and evaluation of different designs for user-involved permission management, giving people more granular control over what AI tools can do on their behalf.
Researchers developed Auto-FL-Research, an AI system that automates the testing of different federated learning algorithms. This could make it much faster to improve privacy-focused AI training methods.
AI agents can develop shared languages through interaction, and the way they store memories significantly impacts their success. This discovery could improve how AI systems communicate and collaborate in the future.
Researchers propose using AI agents to audit personalization algorithms on social media. This could make it easier to study how these systems influence what we see online. The method aims to balance realism and scalability in audits.
AI agents are borrowing decades-old database techniques to become more reliable and context-aware. This could make digital assistants far more useful for complex, multi-step tasks. The article explores how methods refined over 50 years are being adapted to improve AI performance.
AI agents often assume users know exactly what they want. New research suggests these tools should help people learn and form preferences instead. This could make AI assistants much more helpful for everyday tasks.
OpenAI has launched a new feature that allows users to create custom AI agents without coding. This could make advanced AI tools accessible to everyone, not just programmers.
Anthropic has released Claude Sonnet 5, a more affordable AI model with stronger agentic capabilities. It's positioned as a cheaper alternative to top-tier models like Opus, GPT-5.5, and Gemini Pro.
Researchers have developed a new way for AI to simulate future outcomes, making it better at long-term planning. This could help AI agents make decisions more like humans do, by imagining different scenarios before acting.
Notion is closing its email app, a product influenced by the Skiff acquisition, and is instead going all in on AI agents that handle inboxes. This shift reflects how AI agents are transforming everyday tasks like managing emails, moving beyond simple automations to directly running your inbox.
Researchers developed an AI-powered pipeline to compare governance structures of decentralized and corporate AI protocols. The system analyzes over 4,300 governance discussions to uncover power dynamics in AI agent interoperability standards.
Researchers evaluated AI agents on complex energy market tasks, including live data retrieval, regulatory knowledge, and multi-step quantitative reasoning. The study fills a critical gap, with 243 expert-designed tasks showing how tool-augmented LLMs could make energy systems more efficient and responsive.
Researchers introduced TrustMem, a framework designed to improve long-term memory in AI agents. It addresses the problem of AI systems forgetting important information or generating hallucinated content that becomes permanently stored. This could make AI assistants more reliable over extended interactions.
Tabularis is a new open-source desktop app that lets you manage databases with SQL. It also supports AI agents, making database management easier for non-experts. This could change how people interact with databases, especially for those who aren't familiar with SQL.
AI agents often make mistakes that snowball over time, especially in tasks like persuasion. Researchers found a key reason—semantic leakage in standard RAG—and developed a method called Taxonomic Strategy Retrieval to prevent these compounding errors.
A new practitioner's reference, 'The Hitchhiker's Guide to Agentic AI,' covers the full stack of building autonomous AI systems—from transformer architecture and GPU systems to fine-tuning, model compression, and production deployment.