limecloud/lime

What it solves

Lime addresses the gap between simple AI chat interfaces and fully autonomous software engineering. It provides a workspace where an AI agent can not only suggest code but actually execute the work—reading and writing files, running terminal commands, and managing complex, multi-step tasks across a local filesystem and terminal without requiring the user to manually copy-paste code between a chat box and an IDE.

How it works

Lime operates as a full-stack agent host available via a Desktop app (Electron) or a CLI/TUI. It uses a "Thread, Turn, Item" data model to track progress, allowing tasks to be paused and resumed. The agent follows a loop: it analyzes the goal and repository, proposes an executable plan, and then performs actions (like applying patches or running tests) within user-granted permissions. It supports Model Context Protocol (MCP), custom "Skills" for repeatable procedures, and multi-agent collaboration to split complex subtasks.

Who it’s for

• Developers who want an AI partner to implement features, fix bugs, and run tests.
• Full-stack teams managing product, design, and documentation in one place.
• Researchers and creators who need an agent capable of handling local materials and long-running reasoning tasks.
• Power users who prefer a keyboard-first TUI or a visual desktop workspace.

Highlights

• Full-stack execution: Capable of editing files, running scripts, and managing terminal processes.
• Multimodal integration: Handles text, code, images, screenshots, audio, video, and PDFs within a single task thread.
• Flexible provider system: Users can configure their own AI model providers and credentials rather than being locked into one service.
• Dual interface: Offers both a rich Electron-based GUI for visual work and a CLI/TUI for server-side or keyboard-centric workflows.
• Extensible capabilities: Supports MCP and the creation of reusable "Skills" to encode team rules or recurring procedures.