AI-Agents-with-CrewAI
Agentic Workflows with Generative AI: Building AI Agents using CrewAI.
In this repo, an agentic workflow is simulated for two AI Agents, using CrewAI. As a cutting-edge framework for orchestrating autonomous AI agents, it facilitates "collaborative intelligence" by programming agents to work together seamlessly, tackling complex tasks. The code configures AI agents with the ability to assume roles, define goals and tasks, as well as equipping them with LLM tools from OpenAI. This repo showcases a simple multi-agent research team with CrewAI as the backbone for the multi-agent interactions.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mehdi-letafati-ai-agents-with-crewai — read its card at https://meshkore.com/agent/mehdi-letafati-ai-agents-with-crewai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/mehdi-letafati-ai-agents-with-crewaiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mehdi-letafati-ai-agents-with-crewai/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AI-Agents-with-CrewAI?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.