limecloud/lime

What it solves

Lime is a full-stack desktop AI agent designed to move beyond simple chat interfaces. It solves the problem of fragmented AI workflows by integrating the agent loop, filesystem access, terminal execution, and multimodal inputs into a single, traceable workspace where tasks can be planned, executed, and reviewed.

How it works

Lime operates as an Electron-based desktop application that acts as a host for AI models. It uses a "Thread, Turn, Item" projection system to track progress, allowing users to pause, restore, and review work. The agent analyzes goals and repositories to propose executable plans, then performs actions such as reading/writing files, running terminal commands, and calling tools via MCP (Model Context Protocol) or custom "Skills" (reusable execution units).

Who it’s for

• Developers: For reading code, implementing features, refactoring, and running tests.
• Full-stack teams: For coordinating product, design, and documentation tasks.
• Researchers and creators: For managing local materials and performing long-running reasoning tasks.
• Automation enthusiasts: For users who want to encode recurring procedures into reusable Skills.

Highlights

• Full-stack execution: Capable of editing code across multiple files, running builds, and inspecting terminal output.
• Multimodal integration: Handles text, images, screenshots, audio, video, and PDFs within a single task thread.
• Extensible toolset: Supports MCP and custom Skills to turn repeatable procedures into reusable capabilities.
• Model agnostic: Allows users to configure their own providers and models without losing task context.
• Multi-agent coordination: Ability to delegate subtasks to different agents while maintaining a shared context.