maestrly.

Product overview

One workspace for the whole AI development loop.

Start in Maestrly Chat, choose the model that fits, and keep context, tools, parallel work, and review attached to the same job.

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01

Chat & Models

The core workspace for every conversation and model choice.

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Maestrly Chat

One conversation surface for compatible providers, accounts, and APIs.

Ask, Plan & Agent

Match the interaction mode to exploration, approval, or execution.

Model controls

Pick provider, account, model, reasoning effort, and Fast when supported.

Long context

Compact older turns while retaining the working thread and relevant context.

Catalog filters

Filter available models by provider and capabilities.

02

Agents & Review

Delegate focused work and close the loop with evidence.

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Managed subagents

Delegate bounded tasks without fragmenting the parent conversation.

Agent profiles

Choose provider, model, effort, and instructions for reusable roles.

#agent routing

Address a configured agent directly from the conversation.

Visual context

Give capable agents screenshots and image context when needed.

Review loops

Review, correct, rerun checks, and validate the result in sequence.

03

Tools & MCP

Give models controlled access to the tools that move work forward.

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Repository tools

Read, write, edit, bash, glob, and grep inside the authorized workspace.

Workspace tools

Use browser, terminal, plan, review, notes, debugging, and rich outputs.

MCP servers

Connect HTTP or stdio MCP servers and expose their tools by conversation.

App tools

Use installed app connectors through the same tool system.

Permissions

Set allow, deny, or ask policies instead of granting blanket access.

04

Projects & Git

Keep each change traceable, isolated when useful, and ready to review.

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Current branch

Work directly in the active project when isolation is unnecessary.

Isolated worktrees

Give parallel jobs separate Git worktrees and branches.

Parallel tasks

Run independent work without mixing files or conversation state.

Multi-repository

Attach more than one repository to a project workflow.

Diffs and checks

Inspect changes, pull requests, and validation status before delivery.

05

Skills, Context & Memory

Reuse instructions and preserve the knowledge that belongs to the project.

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Project & global skills

Package repeatable guidance at the right scope.

Skill groups

Select focused capability sets for each conversation.

Notes

Keep durable project notes beside the work.

Memory

Carry forward useful facts without copying entire transcripts.

Previous work search

Find earlier delivery context when a task resumes.

06

Multimodal

Bring visual evidence into the development loop.

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Attachments

Add supported files and images to a turn.

Vision

Use vision when the selected provider and model support it.

Image interpreter

Inspect screenshots and visual artifacts in context.

Rich tool output

Review screenshots and structured outputs from tools.

Image generation

Beta

Generate visual assets with supported models and tools.

07

Usage & Cost

Understand how models are being used across the workspace.

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Tokens & cache

See input, output, and available cache metrics.

Equivalent cost

Estimate API-equivalent cost where pricing data exists.

Turns & models

Break activity down by conversation, provider, and model.

Provider share

Compare usage distribution across connected backends.

Available limits

Show subscription limits when the provider exposes them.

08

Desktop Workflow

A native workspace designed to stay close to your code.

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Cross-platform

Available for macOS, Windows, and Linux.

Workspace drawer

Keep files, notes, tools, and task state within reach.

Keyboard workflow

Use shortcuts for frequent navigation and actions.

Windows & popups

Open focused surfaces without losing the main thread.

Updates & languages

Download updates manually from GitHub Releases and use the interface in supported languages.

Ready to put the whole loop in one workspace?

Download Maestrly