Two repos worth cloning before building an agent
Around 150 open-source agents and RAG apps — adapt one instead of starting from a blank project
Two GitHub repositories holding working agent projects across voice, customer support, research, RAG, coding and workflow automation. The point is not to read them — it is to find one close to what you need, open it in Claude Code, and describe your use case until it becomes yours.
Working projects, not a reading list
Both are collections of complete, runnable agent projects rather than tutorials about agents. Between them their READMEs link roughly 150 projects, and awesome-llm-apps describes itself as “100+ open-source AI agents, agent skills, and RAG apps”.
They split differently, which is why both are worth having: one organises by what the agent is, the other by how hard the project is to build.
How each one is organised
The kinds of agent you will find
Adapt one rather than start blank
Find the closest match
Not the perfect one. Close enough that the shape of the problem is already solved.
Clone or download it
You want the whole project on disk, not a snippet copied out of a README.
Open it in Claude Code
From the project root, so it can read the structure rather than guess at it.
Explain your actual use case
Your business, your workflow, the thing it has to do differently. Specifics beat instructions here.
Ask it to adapt the agent
Editing something that already runs is a different job from writing one from nothing, and a much shorter one.
Starting from a project that already runs skips the part where you find out your architecture was wrong. The wiring, the framework choices and the failure handling are already made — you are changing behaviour, not inventing structure.