Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
Gemini Enterprise: Best of Google AI for Business | Google Cloud
Discover, create, share, and run AI agents all in one secure platform, bringing the best of Google AI to every employee, for every workflow.
Vertex AI Platform | Google Cloud
Enterprise ready, fully-managed, unified AI development platform. Access and utilize Vertex AI Studio, Agent Builder, and 200+ foundation models.
AI Show: On Demand | New Agent Framework for Next Gen Multi Agent Solutions - YouTube
Take an in-depth tour of Microsoft's new Agent Framework— converged runtime for Semantic Kernel + AutoGen. From prototyping single agents with Azure OpenAI, ...
Agent-Testing Agent: A Meta-Agent for Automated Testing and Evaluation of Conversational A…
LLM agents are increasingly deployed to plan, retrieve, and write with tools, yet evaluation still leans on static benchmarks and small human studies. We present the Agent-Testing Agent (ATA), a meta-agent that combines static code analysis, designer...
Agent TCP/IP: An Agent-to-Agent Transaction System
Autonomous agents represent an inevitable evolution of the internet. Current agent frameworks do not embed a standard protocol for agent-to-agent interaction, leaving existing agents isolated from their peers. As intellectual property is the native a...
muratcankoylan/Agent-Skills-for-Context-Engineering
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management. (⭐ 13514)
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems
Much research in artificial intelligence is concerned with the development of autonomous agents that can interact effectively with other agents. An important aspect of such agents is the ability to reason about the behaviours of other agents, by cons...
ai-agents-for-beginners/.agents/skills/jupyter-notebook at main ...
12 Lessons to Get Started Building AI Agents. Contribute to microsoft/ai-agents-for-beginners development by creating an account on GitHub.
Foundry Agent Service - Pricing | Microsoft Azure
Get Foundry Agent Service pricing information. Try popular services free with an Azure free account, and pay as you go with no upfront costs.
如何通俗的介绍什么是Ai agent？ - 知乎
手动 Agent 框架 = LLM + Tools + Workflow （2）半自动 Agent 框架 将 AI 预设为不同身份的垂直 Agent（系统提示词 + 特定工具），每个垂直 Agent 完成不同的子任务，最后通过框架将每个子任务 …
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning. (⭐ 19203)
如何通俗的介绍什么是Ai agent？ - 知乎
手动 Agent 框架 = LLM + Tools + Workflow （2）半自动 Agent 框架 将 AI 预设为不同身份的垂直 Agent（系统提示词 + 特定工具），每个垂直 Agent 完成不同的子任务，最后通过框架将每个子任务 …
如何通俗的介绍什么是Ai agent？ - 知乎
手动 Agent 框架 = LLM + Tools + Workflow （2）半自动 Agent 框架 将 AI 预设为不同身份的垂直 Agent（系统提示词 + 特定工具），每个垂直 Agent 完成不同的子任务，最后通过框架将每个子任务 …
如何通俗的介绍什么是Ai agent？ - 知乎
手动 Agent 框架 = LLM + Tools + Workflow （2）半自动 Agent 框架 将 AI 预设为不同身份的垂直 Agent（系统提示词 + 特定工具），每个垂直 Agent 完成不同的子任务，最后通过框架将每个子任务 …
Generalized Principal-Agent Problem with a Learning Agent
In classic principal-agent problems such as Stackelberg games, contract design, and Bayesian persuasion, the agent best responds to the principal's committed strategy. We study repeated generalized principal-agent problems under the assumption that t...
From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable A…
Artificial intelligence is rapidly evolving towards multi-agent systems where numerous AI agents collaborate and interact with external tools. Two key open standards, Google's Agent to Agent (A2A) protocol for inter-agent communication and Anthropic'...
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communic…
Large language model powered autonomous agents demand robust, standardized protocols to integrate tools, share contextual data, and coordinate tasks across heterogeneous systems. Ad-hoc integrations are difficult to scale, secure, and generalize acro...
Towards Multi-Agent Economies: Enhancing the A2A Protocol with Ledger-Anchored Identities…
This research article presents a novel architecture to empower multi-agent economies by addressing two critical limitations of the emerging Agent2Agent (A2A) communication protocol: decentralized agent discoverability and agent-to-agent micropayments...
Differential Advising in Multi-Agent Reinforcement Learning
Agent advising is one of the main approaches to improve agent learning performance by enabling agents to share advice. Existing advising methods have a common limitation that an adviser agent can offer advice to an advisee agent only if the advice is...