langgraphgo
Build stateful multi-step agent workflows in Go
All Skills in This Repository (4)
Pure Emerald Level Indicators
smallnestPlaywright Browser Automation
Automate browser tasks and testing with Playwright for web QA.
smallnesttemplate-skill
Generate embedding-ready semantic metadata with a fixed JSON schema.
smallnestprompt-optimizer
Analyze vague prompts and generate clearer, actionable instructions for AI systems.
smallnesthello_world
Execute a Python script and capture its standard output.
Frequently Asked Questions
FAQPage SchemaHow to install langgraphgo?▼
Run `npx skills add smallnest/langgraphgo --all -g -y` in your terminal to install all skills in this suite globally.
What is LangGraphGo used for?▼
It is a Go library for building stateful, graph-based agent workflows, similar to Python's LangGraph. It supports parallel node execution, checkpointing, streaming, and human-in-the-loop pauses.
Does LangGraphGo support pre-built agents?▼
Yes. It includes ready-to-use ReAct, Supervisor, and planning agent factories, plus Programmatic Tool Calling to cut latency and token usage.
Can I persist and resume workflow state?▼
Yes. It offers Redis, Postgres, SQLite, and file-based checkpointers so you can pause, recover, and resume executions from saved state.
Which LLM providers does LangGraphGo support?▼
It has native OpenAI and OpenAI Responses providers plus Doubao and Qwen, and it stays compatible with langchaingo through a thin adapter.
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