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crewai-multi-agent

7.6

by zechenzhangAGI

180Favorites
342Upvotes
0Downvotes

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

multi-agent

7.6

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent multi-agent orchestration skill with comprehensive coverage. The description clearly conveys when to use CrewAI vs alternatives. Task knowledge is outstanding with complete code examples for agents, tasks, crews, YAML configs, flows, tools, and memory. Structure is well-organized with a clear progression from quick start to advanced features, plus referenced guides for deeper topics. Novelty is strong: orchestrating multiple AI agents with role-based collaboration, memory, and dual paradigms (crews + flows) significantly reduces complexity vs manual coordination. Minor improvement opportunity: could add a decision tree or flowchart for process selection (sequential vs hierarchical vs flows). Overall, this is a production-ready skill that would meaningfully reduce token costs for multi-agent scenarios.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

891
74
19
2
Last commit 0 days ago

Publisher

zechenzhangAGI

zechenzhangAGI

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