Open-source desktop workspace · Created by AIVAX Labs

Keep the work around the model in view.

AVI keeps the conversation beside the project, files, and changes it is working on—then gives tools and agents a visible place to operate.

Explore AVI on GitHub

MIT licensed Built in the open

The model is only one part of the work.

A conversation is only one part of serious AI work. AVI keeps the surrounding system close: the project, its instructions, the tools being called, the tasks in motion, and the agents doing the work.

That makes AVI less like another chat client and more like a visible operating layer for serious AI work.

01

Execution, not just answers

Use Plan, Goal, and Ultra modes when the work needs alignment, completion criteria, or aggressive multi-agent delegation.

02

Context that arrives ready

AVI discovers project instructions, skills, workflows, AGENTS.md, and MEMORY.md around the work.

03

Orchestration you can inspect

Follow tool calls, tasks, parallel threads, and sub-agent progress instead of receiving an unexplained final answer.

See the work behind the answer.

One conversation can carry the objective, the tools used to investigate it, the tasks still open, and the agents working in parallel.

01 / Visible execution

Tools, tasks, sub-agents, model, permissions, project path, and branch stay attached to the active conversation.

Different problems deserve different operating modes.

Plan

Research, compare approaches, and align on an execution path before implementation begins.

Goal

Define completion criteria and keep the work moving until the condition is met.

Ultra

Delegate across focused sub-agents, challenge the result, refine it, and validate again.

A complete workspace with provider choice.

Connect the providers you choose. Give each project its own context and tools. Keep consequential actions behind the permission level you set.

01

Multiple providers

Connect a ChatGPT subscription or services implementing OpenAI-compatible Responses and Chat Completions APIs.

02

Project-scoped MCP

Configure servers globally or by folder, inspect their tools, and diagnose slow or failed startup.

03

Communicating sub-agents

Choose model and reasoning levels for delegated work while agents exchange findings with the orchestrator and each other.

04

Discovered context

Make local and global skills, workflows, instructions, and memory available without rebuilding every prompt.

05

Permission controls

Choose when consequential tools should ask, be allowed for the current action, or receive full access.

06

Quick chats and side chats

Ask a fast standalone question or fork a side conversation without interrupting the main thread.

07

Files, Git, tasks, usage

Keep the repository state and operational detail visible in the side panel while the conversation continues.

08

Local conversation state

Conversation state stays on your machine; model requests go only to the providers you configure.

AVI · Created by AIVAX Labs

Built in the open. Yours to inspect.

AVI is an MIT-licensed project created by AIVAX Labs. Read the source, follow its development, or shape the workspace around the way you work.

View aivaxlabs/avi