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Build production-grade Go agent systems with workflows, tools, memory, and observability.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "trpc-agent-go" yet — see the docs or source repo.
Using trpc-agent-go, design a production-grade agent service example with graph workflows, tool calling, session memory, MCP integration, and basic observability. Provide the project structure and key Go code.
A Go-based agent service blueprint with architecture notes, folder structure, and runnable core code examples.
I already have an agent built with trpc-agent-go. Help me add an evaluation pipeline and observability plan, including metrics, logging and tracing, failure analysis, and sample code.
A complete plan covering evaluation metrics, monitoring instrumentation, troubleshooting ideas, and matching Go implementation examples.
Show with trpc-agent-go how to implement an agent-to-agent workflow where one agent retrieves information and another summarizes it, including message flow and state management.
An example of a two-agent collaboration architecture, communication flow, state handling approach, and key code snippets.
Build Go-based agents, microservices, and service communication workflows faster.
Set up portable agents aligned with your codebase, workflows, and engineering standards.
Connect AI agents to multiple APIs through one unified MCP gateway.
Build effective AI agents with MCP and simple workflow patterns.
Build, run, inspect, and debug AI agents with better visibility.
Analyze codebases and generate AGENTS.md files for AI coding agents.