Hi — I curate StackMap, a hand-curated knowledge graph of open-source AI/agent tools. Every entry is human-reviewed: a summary, an opinionated note on when to use it (and when not), and typed edges to what it pairs with or competes against — with the why written down.
agents-cli earned a place on the map:
How we mapped it:
- alternative to
langgraph — Both are ways to build production agentic apps, but from opposite ends: LangGraph is an open, embeddable graph runtime that runs anywhere, while agents-cli is Google's CLI+skills around ADK that scaffolds, evaluates, and deploys agents specifically on Google Cloud / Gemini Enterprise. Choose by ecosystem and portability needs.
- alternative to
ragas — agents-cli ships a full agent-eval suite — trace generation, metric grading, LLM-as-judge, failure-mode clustering, prompt optimization — which overlaps Ragas's job. Difference: Ragas is eval-only and framework-agnostic, while agents-cli's eval is one stage of a GCP-bound scaffold/deploy pipeline.
If any of this misrepresents the project — an edge you'd dispute, a sharper "when NOT to use" — reply here and a human fixes it. And feel free to just close this issue; it's only a heads-up.
Hi — I curate StackMap, a hand-curated knowledge graph of open-source AI/agent tools. Every entry is human-reviewed: a summary, an opinionated note on when to use it (and when not), and typed edges to what it pairs with or competes against — with the why written down.
agents-cli earned a place on the map:
How we mapped it:
langgraph— Both are ways to build production agentic apps, but from opposite ends: LangGraph is an open, embeddable graph runtime that runs anywhere, while agents-cli is Google's CLI+skills around ADK that scaffolds, evaluates, and deploys agents specifically on Google Cloud / Gemini Enterprise. Choose by ecosystem and portability needs.ragas— agents-cli ships a full agent-eval suite — trace generation, metric grading, LLM-as-judge, failure-mode clustering, prompt optimization — which overlaps Ragas's job. Difference: Ragas is eval-only and framework-agnostic, while agents-cli's eval is one stage of a GCP-bound scaffold/deploy pipeline.If any of this misrepresents the project — an edge you'd dispute, a sharper "when NOT to use" — reply here and a human fixes it. And feel free to just close this issue; it's only a heads-up.