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Local AI Agent

Local AI Agent

CorpRideConnect

|
3 installs
| (0) | Free
Local AI coding agent powered by user-selected AI models
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Local AI Agent

Developed by Shravan Kumar SV

Local AI coding agent for VS Code, designed to work with locally hosted AI models and Ollama. It allows you to interact with your code through a VS Code chat interface while keeping your development workflow connected to your local AI infrastructure.

Powered by CorpRideConnect

It is designed to work with locally hosted AI models, allowing you to interact with your code through a VS Code chat interface while keeping your development workflow connected to your local AI infrastructure.

Features

  • AI Coding Chat — Interact with your local AI coding agent directly from VS Code.
  • Local AI Models — Connect to locally hosted models through Ollama.
  • Model Selection — Select the AI model you want to use for your coding session.
  • Agent Selection — Choose the coding agent configuration from the chat interface.
  • Scope Selection — Control the files or folders that the agent can work with.
  • Current File Support — Work with the currently open file as the default file context.
  • File and Folder Selection — Select the appropriate workspace files or folders from the chat interface.
  • VS Code Sidebar Integration — Access the Local AI Agent directly from the VS Code sidebar.
  • Settings — Configure the AI connection and related agent settings from the extension.
  • Local Development Workflow — Designed for development environments where AI models can run on your own infrastructure.

Requirements

Visual Studio Code

The extension requires:

  • Visual Studio Code 1.125.0 or later.

Ollama

Local AI Agent is designed to connect to an Ollama server running your selected AI model.

Install Ollama from:

https://ollama.com/

After installing Ollama, make sure the Ollama service is running and that the required model is available.

You can verify your installed models with:

ollama list

Getting Started

  1. Install Local AI Agent in VS Code.
  2. Open the Local AI Agent sidebar.
  3. Open Settings.
  4. Configure the connection to your local AI service.
  5. Select the AI model you want to use.
  6. Select the appropriate agent and coding scope.
  7. Open the Chat panel.
  8. Start working with your code through the AI coding agent.

Chat Scope

The agent can work with the scope selected from the chat interface.

Depending on the selected scope, the agent can use:

  • The currently open file
  • Individual files
  • Folders
  • Workspace code

Selecting an appropriate scope helps keep the AI context focused on the code you want it to work with.

Privacy

Local AI Agent is designed for local AI development workflows.

When connected to a locally hosted Ollama instance, your code can remain within your local development environment rather than being sent to a third-party hosted AI service.

The actual privacy characteristics depend on how your Ollama server and selected models are configured.

Configuration

Connection and agent configuration can be accessed through the Settings option in the Local AI Agent chat interface.

The available configuration options may change as the extension evolves.

Known Issues

This is an early release of Local AI Agent.

Some functionality may change as the extension continues to evolve. If you encounter an issue, please provide the relevant VS Code version, extension version, model information, and error details when reporting it.

Release Notes

0.0.1

Initial release of Local AI Agent.

  • Added VS Code sidebar integration.
  • Added AI coding chat.
  • Added local AI model connection.
  • Added model selection.
  • Added agent selection.
  • Added coding scope selection.
  • Added Settings interface.
  • Added file and folder context selection.

License

Local AI Agent is released under the MIT License.


About

Local AI Agent is an open-source VS Code extension developed by Shravan Kumar SV.

The project is powered by the development infrastructure and technology ecosystem of CorpRideConnect.

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