oxbshw/LLM-Agents-Ecosystem-Handbook

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

48
/ 100
Emerging

Covers framework selection matrices (LangGraph, AutoGen, CrewAI, Smolagents, Semantic Kernel, Pydantic AI) alongside 60+ scaffolded agent templates spanning domains like research, finance, healthcare, and web scraping. Includes evaluation frameworks (Promptfoo, DeepEval, MLflow, RAGAs, Langfuse) and an agent skeleton generator for rapid prototyping across the full LLM stack from orchestration to RAG and multi-agent collaboration.

494 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 21 / 25

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Stars

494

Forks

78

Language

Python

License

MIT

Last pushed

Sep 08, 2025

Commits (30d)

0

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