
Crewai Multi Agent
CrewAI gives you multi-agent orchestration without the LangChain baggage. You define agents with roles and goals, chain tasks together, and let them collaborate autonomously on complex workflows. It's built for production use with memory, 50+ built-in tools, and decent observability. The sequential and hierarchical process modes cover most patterns, from simple pipelines to manager-delegated workflows. YAML config keeps things clean when your crews get bigger. If you need specialized AI agents working together rather than a single bot doing everything, this is the straightforward option. Lighter than LangGraph, more structured than rolling your own agent loops.
- skills.sh installs
- 1K
- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill crewai-multi-agent --agent claude-codeInstalls into .claude/skills of the current project.
Files
CrewAI - Multi-Agent Orchestration Framework
Build teams of autonomous AI agents that collaborate to solve complex tasks.
When to use CrewAI
Use CrewAI when:
- Building multi-agent systems with specialized roles
- Need autonomous collaboration between agents
- Want role-based task delegation (researcher, writer, analyst)
- Require sequential or hierarchical process execution
- Building production workflows with memory and observability
- Need simpler setup than LangChain/LangGraph
Key features:
- Standalone: No LangChain dependencies, lean footprint
- Role-based: Agents have roles, goals, and backstories
- Dual paradigm: Crews (autonomous) + Flows (event-driven)
- 50+ tools: Web scraping, search, databases, AI services
- Memory: Short-term, long-term, and entity memory
- Production-ready: Tracing, enterprise features
Use alternatives instead:
- LangChain: General-purpose LLM apps, RAG pipelines
- LangGraph: Complex stateful workflows with cycles
- AutoGen: Microsoft ecosystem, multi-agent conversations
- LlamaIndex: Document Q&A, knowledge retrieval
Quick start
Installation
Sponsors
Details
- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- AI & Agent Building, Data Science & ML, Automation & Workflows
- First seen
- Jun 3, 2026
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