The author of Jido, an Elixir Actor & Agent SDK, launched DASP, a language-agnostic durable actor session protocol, after finding existing agent protocols (A2A, ACP, AHP) unfit for his durable actor/agent server. He built it because Microsoft's Agent Host Protocol centered on chat, while he envisions agents beyond text. He is seeking HN feedback on whether the protocol addresses a real need.
A Reddit discussion examines why teams building multi-agent systems still rely on MCP and orchestrator-controlled handoffs rather than the A2A protocol. MCP solves an immediate need — connecting agents to tools, databases, and APIs — while A2A targets agent-to-agent interoperability that few systems require yet. The thread asks whether anyone actually runs A2A in production or whether custom APIs remain the workable answer.
A Reddit discussion examines why teams building multi-agent systems still rely on MCP and orchestrator-controlled handoffs rather than the A2A protocol. MCP solves an immediate need — connecting agents to tools, databases, and APIs — while A2A targets agent-to-agent interoperability that few systems require yet. The thread asks whether anyone actually runs A2A in production or whether custom APIs remain the workable answer.
APH is an open-source protocol and server implementation that provides remote guardrails for AI agents interacting with agents from other parties. It enables agents to share public keys and verify each other's good faith against public servers, addressing trust and safety in the agentic web. Built in Rust and N Lang, it complements Google's A2A and AP2 protocols.
APH is an open-source protocol and server implementation that provides remote guardrails for AI agents interacting with agents from other parties. It enables agents to share public keys and verify each other's good faith against public servers, addressing trust and safety in the agentic web. Built in Rust and N Lang, it complements Google's A2A and AP2 protocols.
A Medium article explains how two protocols, A2A (Agent-to-Agent) and MCP (Model Context Protocol), solve distinct problems: MCP enables agents to use external tools, while A2A facilitates communication between agents. The piece clarifies the separation of concerns for AI agent interoperability.
A Medium article explains how two protocols, A2A (Agent-to-Agent) and MCP (Model Context Protocol), solve distinct problems: MCP enables agents to use external tools, while A2A facilitates communication between agents. The piece clarifies the separation of concerns for AI agent interoperability.
A developer guide published on Medium explains how AI agents use protocols like MCP, A2A, and ACP to communicate externally. The post emphasizes that LLMs become agents only when they can reach beyond their context window via these protocols.
A developer guide published on Medium explains how AI agents use protocols like MCP, A2A, and ACP to communicate externally. The post emphasizes that LLMs become agents only when they can reach beyond their context window via these protocols.
A developer released HandoffProbe, an Apache-2.0, local-first open-source tool that turns security risks in agent handoffs across protocol boundaries (A2A to MCP) into deterministic adversarial tests. The initial release includes 22 stable test cases covering authority widening, replay, and identity binding failures. It targets engineers building agents, MCP infrastructure, and protocol tooling.
A developer released HandoffProbe, an Apache-2.0, local-first open-source tool that turns security risks in agent handoffs across protocol boundaries (A2A to MCP) into deterministic adversarial tests. The initial release includes 22 stable test cases covering authority widening, replay, and identity binding failures. It targets engineers building agents, MCP infrastructure, and protocol tooling.