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VS Code extensionRuns on local modelsMIT

GBS SE Agent

An open-source coding agent for VS Code. Describe a task and it explores your codebase, edits files and runs commands, showing every step. Runs on local models, so your code can stay on your machine.

On this page

GBS SE Agent is a coding agent that lives in the VS Code sidebar. You describe the work, and it does it the way a careful colleague would: it searches and reads before it changes anything, asks before anything risky, and shows you every file it touched when it finishes.

Point it at a model running on your own machine (Ollama, LM Studio, llama.cpp or vLLM) and no code leaves the laptop. Cloud endpoints work too, and the agent asks before it sends anything to one.

Six steps in a row: you describe the job in your own words; it looks, searching and reading the files; it asks before anything risky; it changes the code; it checks, running the tests and reading errors; and it shows you every file it changed. An arrow runs from the checking step back to the looking step: if a check fails, it goes back and fixes it, as many times as it takes.
One instruction becomes a loop of small steps. The loop back from checking is what makes it an agent rather than a chatbot.

What it does well

  • Runs on local models. Ollama is the built-in default. Any server with an OpenAI-compatible API works, local or cloud.
  • Shows its work. Every search, read, edit and command appears as it happens, with live command output and a diff for every change.
  • Asks first. Shell commands, and edits to files that run code or configure tooling, wait for your approval. A repository cannot change where your code is sent or switch the approvals off.
  • Learns your stack. Skills teach it your component library and project rules, loaded only when a task needs them. MCP servers give it tools, such as the GramproKit catalogue.
  • Lets you take it back. Each turn ends with a summary of every changed file and an Undo this turn button.

Start here

If you want toRead
Install it and run a first taskGetting started
Keep code on your machineLocal models
Use a cloud model or a free tierCloud models
Get the most out of a sessionWorking with the agent
Build UI with GramproKit componentsUsing it with GramproKit
Understand how it works insideArchitecture
Explain it to someone non-technicalIn plain English

At a glance

Runs inVS Code 1.120 or later, in trusted workspaces
ModelsOllama, LM Studio, llama.cpp, vLLM, Hugging Face, Groq, Google AI Studio, any OpenAI-compatible endpoint
Built-in toolsread, edit and write files; search; list folders; run commands; a task checklist; subagents; skills
ExtensionsSkills (SKILL.md folders) and MCP servers
Sourcegramproindia/agent, MIT licensed, no runtime dependencies