How joshimrahman/500-ai-agents-projects works
This repository is a curated catalog of AI agent projects and use cases, rather than one integrated agent application. Its main user journey is to discover projects by framework or industry, compare frameworks, then choose a documented project to run independently. The README also advertises a course and contribution path. The available tree contains only top-level documentation, and no source excerpts were provided, so the graph reflects documented navigation and capabilities; it does not infer implementation-level calls or project internals.
Main entry points: README.md Agent Collection · CONTRIBUTION.md Agent Contributions
Components 8
Project Discovery
- Agent Collection
README.md - Framework Use Cases
README.md - Industry Use Cases
README.md
Framework Evaluation
- Framework Comparison
README.md
Execution And Learning
- Runnable Agents
README.md - CrewAI MCP Course
README.md - Agent Contributions
CONTRIBUTION.md
Other components
- Developer Or Researcher
Connections 7
- Developer Or Researcher → Agent Collection: browses
- Agent Collection → Framework Use Cases: browse by framework
- Agent Collection → Industry Use Cases: browse by industry
- Developer Or Researcher → Framework Comparison: evaluates
- Developer Or Researcher → Runnable Agents: chooses to run
- Developer Or Researcher → CrewAI MCP Course: learns with
- Developer Or Researcher → Agent Contributions: contributes via