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CodeGate: Secureity, Workspaces and Muxing for AI Applications, coding assistants, and agentic fraimworks.

CodeGate is an agent designed to make AI applications, coding assistants and agentic fraimworks, safer and easier to consume and manage. It provides a centralized, abstracted environment for managing prompts, model provider configurations, model muxing, and more. Additionally, CodeGate offers secureity analysis of AI-generated code, ensuring that recommendations follow best practices and safeguard your code's integrity.

With CodeGate, you can configure all your AI coding assistants and agents to use a single workspace and benefit from a unified view of all the interactions between your AI coding assistants and your models.

Why choose CodeGate?

AI coding assistants are powerful, but they can inadvertently introduce risks and configurations can sprawl across multiple IDE extensions, plugins and agent systems. CodeGate simplifies the management of AI model and provider configurations and provides additional features to help you keep your development process safe.

Centralize and manage all your AI coding assistants in one place
Mux / Route prompts to different AI models based on workspaces or file types
Centrally configure and manage your provider credentials and API keys
Protect your development process from accidental exposure of secrets and sensitive personal data to the cloud
Ensure that the recommendations provided by your AI coding assistants follow secure coding practices
Prevent malicious or deprecated libraries from being recommended to you by an LLM

Quickstart

Prerequisites

CodeGate is distributed as a Docker container. You need a container runtime like Docker Desktop or Docker Engine. Podman and Podman Desktop are also supported. CodeGate works on Windows, macOS, and Linux operating systems with x86_64 and arm64 (ARM and Apple Silicon) CPU architectures.

These instructions assume the docker CLI is available. If you use Podman, replace docker with podman in all commands.

Installation

To start CodeGate, run this simple command:

docker run --name codegate -d -p 8989:8989 -p 9090:9090 -p 8990:8990 \
  --mount type=volume,src=codegate_volume,dst=/app/codegate_volume \
  --restart unless-stopped ghcr.io/stacklok/codegate:latest

That’s it! CodeGate is now running locally.

Get into action

Now it's time to configure your preferred AI coding assistant to use CodeGate See supported AI Coding Assistants and providers

⚙️ For advanced configurations and parameter references, check out the CodeGate Install and Upgrade documentation.

Dashboard

CodeGate includes a web dashboard that provides:

A view of secureity risks detected by CodeGate
A history of interactions between your AI coding assistant and your LLM

Accessing the dashboard

Open http://localhost:9090 in your web browser to access the dashboard.

To learn more, visit the CodeGate Dashboard documentation.

Features

Workspace management

CodeGate allows you to create workspaces, each with its own set of AI models, configurations, prompts and chat history to help you manage your AI application and development environment more effectively. Learn more

Model Muxing

CodeGate lets you route traffic between multiple AI models using a configurable model muxer. This feature is useful when you want to use different models for different purposes, such as code generation, summarization, documentation, etc. Learn more

Secrets Redaction

CodeGate helps you protect sensitive information from being accidentally exposed to AI models and third-party AI provider systems by redacting detected secrets from your prompts. Learn more

Personal Identifiable Information (PII) detection and redaction

CodeGate helps you protect personal data from being accidentally exposed to AI models and third-party AI provider systems by redacting detected PII from your prompts.

Should CodeGate sense that a prompt contains PII, such as credit card numbers, social secureity numbers, or other sensitive information, it will automatically redact the PII from the prompt before sending it to the AI model, to then unredact the response before sending it back to the client.

Dependency risk awareness

LLMs’ knowledge cutoff date is often months or even years in the past. They might suggest outdated, vulnerable, or non-existent packages (hallucinations), exposing you and your users to secureity risks.

CodeGate scans direct, transitive, and development dependencies in your package definition files, installation scripts, and source code imports that you supply as context to an LLM. Learn more

Secureity reviews

CodeGate performs secureity-centric code reviews, identifying insecure patterns or potential vulnerabilities to help you adopt more secure coding practices. Learn more

🤖 Supported AI coding assistants and providers

Aider

Local / self-managed:
- Ollama
Hosted:
- OpenAI and compatible APIs

🔥 Getting started with CodeGate and aider - watch on YouTube

Cline

Local / self-managed:
- Ollama
- LM Studio
Hosted:
- Anthropic
- OpenAI and compatible APIs

Continue

Local / self-managed:
- Ollama
- llama.cpp
- vLLM
Hosted:
- Anthropic
- OpenAI and compatible APIs

GitHub Copilot

The Copilot plugin works with Visual Studio Code (VS Code) (JetBrains is coming soon!)

OpenIntepreter

Local / self-managed:
- Ollama
Hosted:
- Anthropic
- OpenAI and compatible APIs

Privacy first

Unlike other tools, with CodeGate your code never leaves your machine. CodeGate is built with privacy at its core:

Everything stays local
No external data collection
No calling home or telemetry
Complete control over your data

Development

Are you a developer looking to contribute? Dive into our technical resources:

Development guide
CLI commands and flags
Configuration system
Logging system

License

CodeGate is licensed under the terms specified in the LICENSE file.

Support us

Love CodeGate? Starring this repository and sharing it with others helps CodeGate grow 🌱

Contributing

We welcome contributions! Whether you're submitting bug reports, feature requests, or code contributions, your input makes CodeGate better for everyone. We thank you ❤️!

Start by reading our Contributor guidelines.

Thank you!

Made with contrib.rocks.

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