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Most protocol diagrams put Model Context Protocol (MCP), Agent2Agent (A2A) protocol, and Agent Communication Protocol (ACP) in three equal columns. I think that framing causes hal...
Learn how to make your AI agents to discover each other and communicate efficiently using A2A and SpringAI. The post Exploring Agent2Agent Protocol (A2A) With Spring AI first appe...
Let's begin with the definition of an AI agent. Agents are software entities that perform tasks autonomously on behalf of a user or another program. Another way to say it is that...
KM pioneer DeepJudge has launched an ‘Agent Handoff Protocol’ or AHP, which is an open system that ‘enables users to move between AI platforms without ...
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Every major agent framework now has a story for multi-agent systems. Most of them are incompatible with each other. An agent built in AutoGen cannot natively receive a task from a...
How agents discover tools, call services, and coordinate across systems is now standardizing. If you're building infrastructure that agents will use, it helps to know how the Model...
MCP and A2A are not competitors, and treating them as a choice is the fastest way to build the wrong architecture. Here is what each protocol does, where it belongs in your stack,...
Agent Proxy gives an AI agent a fake credential and substitutes the real one at the network boundary, so an agent that is compromised or manipulated has no secret to leak. SAN FRAN...
Building multi-tenant agents with Amazon Bedrock AgentCore and Apply fine-grained access control with Bedrock AgentCore Gateway interceptors establish the conceptual foundation for...
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Test AutoGen agents deterministically with ReplayChatCompletionClient, assert on termination, tool calls, and stop reasons, and keep the suite post-migration.
The startup’s Agent Handoff Protocol, which acts as a complimentary mechanism to standard API and MCP connections, supports users moving between platforms without losing context an...
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