# AIlice vs Cursor

AIlice records 0 monthly visits with — month-over-month growth and Free pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing.

| Metric | [AIlice](https://openaitools.app/tool/ailice) | [Cursor](https://openaitools.app/tool/cursor) |
| :--- | :--- | :--- |
| Website URL | https://github.com/myshell-ai/AIlice | https://www.cursor.com |
| Categories | AI Agent, AI Assistant, Large Language Models (LLMs), AI Code Generator | AI Code Assistant, AI Developer Tools, AI Agent |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 23,297,751 |
| MoM Growth Rate | — | +8.4% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 14,683,770 |
| Review Score | 4.5 | 4.7 |
| Saved Count | 1 | 29 |
| Supported Platforms | Open Source | Website |

## AIlice

AIlice is an open-source research project from MyShell AI aimed at building a standalone, JARVIS-style AI assistant on top of modern large language models. Instead of a single rigid prompt chain, AIlice uses an Interactive Agents Call Tree (IACT) architecture: when you describe a goal, the agent dynamically spawns child agents for each sub-task, each with its own role, tools and iteration budget. Results are merged back up the tree, which gives the system unusual fault tolerance — if one branch fails, siblings can still complete the job.

Because it is a self-hosted Python project (pip install -e . or a Docker image), you keep full control of your data and can pair it with whatever model you prefer. The README recommends combinations of commercial models such as Claude 3.5/3.7 and Gemini 2.5 Pro with locally served open-source models via Ollama, LiteLLM or LM Studio for cost efficiency. Recent releases added MCP tool support and a practical voice-dialogue mode built on ChatTTS.

Typical strengths include thematic research on specialised subjects, reading and analysing papers and articles, automated coding and script execution, system management tasks, and rich multi-modal output in a browser UI with images, video, audio, LaTeX and downloadable files. The project is MIT-licensed and actively maintained on GitHub, with releases and documentation updates continuing into 2025.

**Pricing & Plans:** AIlice itself is free and open source under the MIT license — you pay only for the LLM inference you connect (for example API usage with Claude or Gemini). A hosted option built on AIlice is available at kragent.ai, where you can bring your own API key.

- **Interactive Agents Call Tree (IACT):** A natural, fault-tolerant architecture that dynamically builds a tree of specialised agents to decompose and complete complex multi-step tasks.
- **Local-first and model-agnostic:** Run it self-hosted on your own hardware and plug in open-source models via Ollama, LiteLLM or LM Studio, or commercial models such as Claude and Gemini.
- **Coding and system management:** Acts as a comprehensive coder and an AI-powered operating system layer, writing and executing scripts to automate programming and system tasks.
- **Multimodal output and rich media UI:** Browser interface supports images, video, audio, LaTeX formulas, syntax-highlighted code and file upload/download across all agents.
- **Voice dialogue and MCP tools:** Practical speech interaction powered by ChatTTS plus Model Context Protocol tool support for connecting external capabilities.
- **Self-expanding modules:** The agent can construct and dynamically load new modules to interact with its environment, opening the door to ongoing feature extension.

**Strengths:** Fully open source and MIT-licensed, so you can inspect, fork and extend it; Local-first design keeps sensitive data on your own machine; Model-agnostic: works with open-source and commercial LLMs; IACT architecture tolerates failures better than linear agent chains

**Limitations:** Installation and model configuration require command-line comfort; Task quality depends heavily on the LLM you connect, and strong models cost money; No managed cloud version with guaranteed uptime — the hosted playground is a separate third-party platform; Documentation is aimed at developers rather than casual users

[Profile (Markdown)](https://openaitools.app/tool/ailice.md)

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Frequently Asked Questions

### How do AIlice and Cursor compare in monthly traffic?

AIlice has 0 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AIlice has a month-over-month growth rate of —; Cursor has +8.4%.

### How does pricing compare?

AIlice: Free. AIlice itself is free and open source under the MIT license — you pay only for the LLM inference you connect (for example API usage with Claude or Gemini). A hosted option built on AIlice is available at kragent.ai, where you can bring your own API key. Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 6 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 7 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 8 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 9 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 10 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |

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Source: https://openaitools.app/compare/ailice-vs-cursor

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