base on Local AI API Platform # Cortex
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<a href="https://cortex.so/docs/">Docs</a> •
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> **Under Active Development** - Expect rapid improvements!
Cortex is the open-source brain for robots: vision, speech, language, tabular, and action -- the cloud is optional.
## Installation
| Platform | Installer |
|----------|-----------|
| **Windows** | [cortex.exe](https://app.cortexcpp.com/download/latest/windows-amd64-local) |
| **macOS** | [cortex.pkg](https://app.cortexcpp.com/download/latest/mac-universal-local) |
| **Linux (Debian)** | [cortex.deb](https://app.cortexcpp.com/download/latest/linux-amd64-local) |
All other Linux distributions:
```bash
curl -s https://raw.githubusercontent.com/menloresearch/cortex/main/engine/templates/linux/install.sh | sudo bash
```
### Start the Server
```bash
cortex start
```
```
Set log level to INFO
Host: 127.0.0.1 Port: 39281
Server started
API Documentation available at: http://127.0.0.1:39281
```
[Full API docs](https://cortex.so/api-reference).
### Download Models
You can download models from the huggingface model hub using the `cortex pull` command:
```bash
cortex pull llama3.2
```
```
Downloaded models:
llama3.1:8b-gguf-q4-km
llama3.2:3b-gguf-q2-k
Available to download:
1. llama3:8b-gguf
2. llama3:8b-gguf-q2-k
3. llama3:8b-gguf-q3-kl
4. ...
Select a model (1-21):
```
### Run Models
```sh
cortex run llama3.2
```
```
In order to exit, type `exit()`
>
```
You can also run it in detached mode, meaning, you can run it in the background and can
use the model via the API:
```sh
cortex run -d llama3.2:3b-gguf-q2-k
```
### Manage resources
```sh
cortex ps # View active models
```
```sh
cortex stop # Shutdown server
```
## Why Cortex.cpp?
Local AI platform for running AI models with:
- **Multi-Engine Support** - Start with llama.cpp or add your own
- **Hardware Optimized** - Automatic GPU detection (NVIDIA/AMD/Intel)
- **OpenAI-Compatible API** - Tools, Runs, and Multi-modal coming soon
## Featured Models
| Model | Command | Min RAM |
|----------------|---------------------------|---------|
| Llama 3 8B | `cortex run llama3.1` | 8GB |
| Phi-4 | `cortex run phi-4` | 8GB |
| Mistral | `cortex run mistral` | 4GB |
| Gemma 2B | `cortex run gemma2` | 6GB |
[View all supported models →](https://cortex.so/models)
## Advanced Features
See table below for the binaries with the nightly builds.
```bash
# Multiple quantizations
cortex-nightly pull llama3.2 # Choose from several quantization options
```
```bash
# Engine management (nightly)
cortex-nightly engines install llama-cpp -m
```
```sh
# Hardware control
cortex-nightly hardware detect
cortex-nightly hardware activate
```
## Need Help?
- Quick troubleshooting: `cortex --help`
- [Documentation](https://cortex.so/docs)
- [Community Discord](https://discord.gg/FTk2MvZwJH)
- [Report Issues](https://github.com/menloresearch/cortex.cpp/issues)
---
## For Contributors
### Development Builds
| Version | Windows | macOS | Linux |
|-----------|---------|-------|-------|
| **Stable** | [exe](https://app.cortexcpp.com/download/latest/windows-amd64-network) | [pkg](https://app.cortexcpp.com/download/latest/mac-universal-network) | [deb](https://app.cortexcpp.com/download/latest/linux-amd64-network) |
| **Beta** | [exe](https://app.cortexcpp.com/download/beta/windows-amd64-network) | [pkg](https://app.cortexcpp.com/download/beta/mac-universal-network) | [deb](https://app.cortexcpp.com/download/beta/linux-amd64-network) |
| **Nightly** | [exe](https://app.cortexcpp.com/download/nightly/windows-amd64-network) | [pkg](https://app.cortexcpp.com/download/nightly/mac-universal-network) | [deb](https://app.cortexcpp.com/download/nightly/linux-amd64-network) |
### Build from Source
See [BUILDING.md](BUILDING.md)
## Uninstall Cortex
### Windows
1. Open the Windows Control Panel.
2. Navigate to `Add or Remove Programs`.
3. Search for `cortexcpp` and double click to uninstall. (for beta and nightly builds, search for `cortexcpp-beta` and `cortexcpp-nightly` respectively)
### MacOs/Linux
Run the uninstaller script:
```bash
sudo cortex-uninstall.sh
```
The script to uninstall Cortex comes with the binary and was added to the `/usr/local/bin/` directory. The script is named `cortex-uninstall.sh` for stable builds, `cortex-beta-uninstall.sh` for beta builds and `cortex-nightly-uninstall.sh` for nightly builds.
## Contact Support
- For support, please file a [GitHub ticket](https://github.com/menloresearch/cortex.cpp/issues/new/choose).
- For questions, join our Discord [here](https://discord.gg/FTk2MvZwJH).
- For long-form inquiries, please email [
[email protected]](mailto:
[email protected]).", Assign "at most 3 tags" to the expected json: {"id":"6727","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"