Agentic Resource Discovery: Let agents search

Agentic RAG: Let the Agent Search

A minimal OpenAI Agents SDK implementation where retrieval becomes a search-read-decide loop The post Agentic RAG: Let the Agent Search appeared first on Towards Data Science .

Agentic Search. More accurate and efficient results from your AI systems.

The retrieval layer that helps AI systems navigate, read, and verify information inside even the most complex documents

Position: Collaborative Agentic AI Needs Interoperability Across Ecosystems

arXiv:2505. 21550v2 Announce Type: replace-cross Abstract: Collaborative agentic AI is projected to transform entire industries by enabling AI-powered agents to autonomously perceive, plan, and act within digital environments.

Build AI agents with the Mistral Agents API

BrowseComp: a benchmark for browsing agents

BrowseComp: a benchmark for browsing agents.

Computer-Using Agent

The Protocol That Cleaned Up Our Agent Architecture

A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server The post The Protocol That Cleaned Up Our Agent Architecture appeared first on Towards Data Science .

Upgrading agentic coding capabilities with the new Devstral models

AI Agents Are Here. What Now?

Emergent tool use from multi-agent interaction

We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported.

A toy framework for single and multi-agent human-AI curiosity ecosystems

This paper offers a toy framework for considering curiosity as an ecosystem. First, it suggests that a single agent's inquiry policy (how, when, and why an agent asks a question) depends on how the agent values immediate uncertainty reduction, costs, delayed return, and the value of keeping the question open.

A framework for single and multi-agent human-AI curiosity ecosystems

arXiv:2607. 06214v2 Announce Type: replace Abstract: This paper offers a framework for considering curiosity as an ecosystem.