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

This is a comprehensive resource for developers and researchers who are building applications using Large Language Models (LLMs). It provides a curated collection of LLM agents, detailed tutorials, and insights into the broader LLM ecosystem. You'll find frameworks, evaluation tools, and over 60 pre-built agent skeletons to kickstart projects from blogging to finance, helping you efficiently create, deploy, and understand LLM applications.

494 stars. No commits in the last 6 months.

Use this if you are a developer or researcher looking for a one-stop guide to build, deploy, and evaluate intelligent agents powered by Large Language Models.

Not ideal if you are an end-user seeking a ready-to-use application, as this handbook primarily caters to those actively developing LLM-based solutions.

LLM-development AI-agent-engineering Generative-AI-research AI-application-deployment Multi-agent-systems
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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