Build AI agents, RAG pipelines, and multi-agent workflows in Go.
npx skills add https://github.com/liliang-cn/agent-go --skill agentgo-pkg
Please help me install this Agent Skill. Skill: agentgo-pkg Source: https://github.com/liliang-cn/agent-go/tree/main/.skills/agentgo-pkg Command: npx skills add https://github.com/liliang-cn/agent-go --skill agentgo-pkg
Go developers require a cohesive library to build AI agents and team-based workflows, including RAG pipelines and memory tools.
Install AgentGo in your Go project and start building AI agents, RAG pipelines, and multi-agent teams.
High-intent search queries and answers about installing and using this skill.
Build multi-agent workflows in Go by utilizing a modular library that provides structured APIs for autonomous agents, team-based coordination, and task orchestration across your applications.
RAG document ingestion works through modular pipelines that enable document ingestion, semantic search, and memory tools to provide context for autonomous agent reasoning within your Go project.
Yes, you can add custom tools to an AI agent built in Go because the library features pluggable tools and a modular API design, allowing developers to assemble and extend agent capabilities.
The best way to implement semantic search in a Go AI agent is using a cohesive library that combines document ingestion pipelines with memory tools to deliver structured search results.
Yes, the Go agent library supports MCP and memory coordination, providing integrated memory tools and pluggable components to manage state and context across multi-agent teams.
You should not use a Go-based multi-agent framework if your project lacks Go module compatibility or requires non-modular API design, as this library relies on structured workflows and Go-specific environments.
PaulRBergScaffold a Terraform provider workspace and bootstrap a Go module.
ouakarDesign and deploy production AI/ML systems with MLOps pipelines and monitoring.
juliuss1907Connects Model Context Protocol servers to Hermes Agent for external tools and services.
nesihaver-ILBuild and orchestrate AI agents on Azure AI Foundry with Python SDKs.
