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chore(docs): bring AMP doc refresh from release/v1.0.0 into main (#3637)
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* WIP: v1 docs (#3626) (cherry picked from commit d46e20fa09bcd2f5916282f5553ddeb7183bd92c) * docs: parity for all translations * docs: full name of acronym AMP * docs: fix lingering unused code * docs: expand contextual options in docs.json * docs: add contextual action to request feature on GitHub * chore: tidy docs formatting
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---
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title: 'Agent Repositories'
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description: 'Learn how to use Agent Repositories to share and reuse your agents across teams and projects'
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icon: 'database'
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icon: 'people-group'
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mode: "wide"
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---
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Agent Repositories allow enterprise users to store, share, and reuse agent definitions across teams and projects. This feature enables organizations to maintain a centralized library of standardized agents, promoting consistency and reducing duplication of effort.
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<Frame>
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</Frame>
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## Benefits of Agent Repositories
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- **Standardization**: Maintain consistent agent definitions across your organization
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- **Governance**: Implement organization-wide policies for agent configurations
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- **Collaboration**: Enable teams to share and build upon each other's work
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## Using Agent Repositories
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### Prerequisites
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## Creating and Use Agent Repositories
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1. You must have an account at CrewAI, try the [free plan](https://app.crewai.com).
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2. You need to be authenticated using the CrewAI CLI.
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3. If you have more than one organization, make sure you are switched to the correct organization using the CLI command:
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2. Create agents with specific roles and goals for your workflows.
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3. Configure tools and capabilities for each specialized assistant.
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4. Deploy agents across projects via visual interface or API integration.
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```bash
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crewai org switch <org_id>
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```
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<Frame>
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</Frame>
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### Creating and Managing Agents in Repositories
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To create and manage agents in repositories,Enterprise Dashboard.
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### Loading Agents from Repositories
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You can load agents from repositories in your code using the `from_repository` parameter:
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You can load agents from repositories in your code using the `from_repository` parameter to run locally:
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```python
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from crewai import Agent
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researcher = Agent(
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from_repository="market-research-agent"
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)
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```
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### Overriding Repository Settings
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