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Fix typo
Signed-off-by: David Gageot <david.gageot@docker.com>
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README.md

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@@ -40,16 +40,16 @@ More examples can be found [here](/examples/)!
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suitable specialist
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- **📝 YAML configuration** - Declarative model and agent configuration
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- **💭 Advanced reasoning** - Built-in "think", "todo" and "memory" tools for
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complex problem solving
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complex problem-solving
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- **🌐 Multiple AI providers** - Support for OpenAI, Anthropic, Gemini and DMR ([Docker Model Runner](https://docs.docker.com/ai/model-runner/))
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## 🚀 Quick Start 🚀
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### Installation
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[Prebuilt binaries](https://github.com/docker/cagent/releases) for Windows, MacOS and Linux can be found on the releases page of the [project's GitHub repository](https://github.com/docker/cagent)
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[Prebuilt binaries](https://github.com/docker/cagent/releases) for Windows, macOS and Linux can be found on the releases page of the [project's GitHub repository](https://github.com/docker/cagent)
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Once you've downloaded the appropriate binary for your platform, you may need to give it executable permissions.
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On MacOS and Linux, this can be done with the following command:
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On macOS and Linux, this can be done with the following command:
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```sh
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# linux amd64 build example
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./bin/cagent run agentcatalog/pirate
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```
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### Multi agent team example
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### Multi-agent team example
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```yaml
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agents:
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## Quickly generate agents and agent teams with `cagent new`
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Using the command `cagent new` you can quickly generate agents or multi agent teams using a single prompt! `cagent` has a built-in agent dedicated to this task.
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Using the command `cagent new` you can quickly generate agents or multi-agent teams using a single prompt! `cagent` has a built-in agent dedicated to this task.
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To use the feature, you must have an Anthropic, OpenAI or Google API key available in your environment.
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## Contributing
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Wanna hack on `cagent`, or help us fix bugs and build out some features? 🔧
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Want to hack on `cagent`, or help us fix bugs and build out some features? 🔧
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Read the information on how to build from source and contribute to the project in [CONTRIBUTING.md](/docs/CONTRIBUTING.md)

docs/USAGE.md

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path: ./mem.db # Path to the sqlite database for memory storage (optional)
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```
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Lets go into a bit more detail about the built-in tools that agents can use:
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Let's go into a bit more detail about the built-in tools that agents can use:
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### Think Tool
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pkg/modelsdev/store.go

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// Cache is invalid or doesn't exist, fetch from API
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database, err := s.fetchFromAPI(ctx)
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if err != nil {
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// If API fetch fails but we have cached data, use it
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// If API fetch fails, but we have cached data, use it
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if cached != nil {
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return &cached.Database, nil
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}

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