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Quick Start • Demo • Development • Twitter • Reddit ATTENTION
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Source
collected from the e2b-dev/awesome-ai-agents list · type: MCP server
Harvest history
first seen 2026-10-14 · last seen 2026-10-16 · seen 5× · listed by 3 sources
Score
score 303 · 3 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

Ailice

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Quick Start •
Demo •
Development •
Twitter •
Reddit
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**ATTENTION! We currently has no plans to create any related crypto tokens. Please be cautious and recognize scams to avoid being deceived. (Updated on January 6, 2025)**
:fire: Mar 22, 2025: Ailice can now use MCP tools! Click here.
:fire: Jan 23, 2025: Updated the voice dialogue feature. Thanks to ChatTTS's excellent implementation, voice dialogue has finally moved beyond its experimental status and become practical.
:fire: Jun 22, 2024: We have entered the era of locally running JARVIS-like AI assistants! The latest open-source LLMs enable us to perform complex tasks locally! Click here to learn more.
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Ailice is a fully **autonomous, general-purpose AI agent**. This project aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. Using its unique IACT(Interactive Agents Call Tree) architecture, AIlice can decompose complex tasks into dynamically constructed agents and integrate results with high fault tolerance. Currently, Ailice demonstrates proficiency in a range of tasks, including **thematic research, coding, system management, literature reviews, and complex hybrid tasks** that go beyond these basic capabilities.
We will ultimately achieve **self-evolution of AI agents**. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.
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🚀 Try Ailice Online
**Experience Ailice instantly at kragent.ai** - A platform built on Ailice that lets you explore its capabilities without local setup. Perfect for testing and discovering what this AI assistant can do!
Use **your own API key** to configure powerful commercial LLMs and unlock their full potential (it will be a completely different beast from the free default configuration!). For optimal cost-effectiveness, consider a hybrid setup combining commercial and open-source LLMs. Recommended models: **Claude 3.5/3.7, Gemini 2.5 Pro**.
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- Features
- Quick Start
- Quick Installation
- COOL things we can do
- Installation and Usage
- System Requirements
- Environment Configuration and Installation
- If You Need to Frequently Use Google
- Usage
- Configuring Extension Modules and MCP Servers
- Useful Tips
- Selection and Configuration of LLM
- Guide to Choosing an LLM
- The Most Outstanding Open-source Model
- How to Add LLM Support
- Using LLM through Inference Services
- Example 1: ollama + litellm
- Example 2: LM Studio
- Example 3: Add open source multimodal model support
- Open Source Models on Huggingface
- Using Different Models in Different Agents
- Development
- Design
- Computational Model: Interactive Agents Call Tree
- Basic Computing Unit: Tai Chi Diagram of LLM and Interpreter
- Agent Design: Implementing the Interpreter Framework
- Scripting Language: From Text to Reality
- Multimodal: Collaboration of Rich Text and Variable Mechanisms
- Self-Expansion: Growing Like a Tree
- How Developers Should Get Started
- Project Development Standards and Constraints
- Future Development Roadmap
Features
Key technical features of Ailice include:
- **In-depth research capabilities on specialized subjects.**
- **The ability to read and analyze articles and scholarly works.**
- **Advanced automation in programming and script execution, functioning as a comprehensive coder and an efficient system management tool, similar to an AI-powered operating system.**
- **Voice interaction support.**
- **Compatibility with open-source models and seamless integration with commercial models.**
- **Native multi-modal support across all agents.**
- **Rich media UI with image/video/audio, LaTeX formulas, code highlighting, and file upload/download support.**
- **A natural and highly fault-tolerant Interactive Agents Call Tree architecture.**
- **Flexible parsing of LLM outputs, enabling a broader range of function call mechanisms.**
- **The capability to self-construct and dynamically load modules for interacting with the environment, providing endless possibilities for expanding features.**
Quick Start
Quick Installation
Install and run Ailice with the following commands. Once Ailice is launched, use a browser to open the web page it provides, a dialogue interface will appear. Issue commands to Ailice through the conversation to accomplish various tasks. For your first use, you can try the commands provided in the COOL things we can do section to quickly get familiarized.
**Local run:**
**Sandbox run:**
Source
awesome · https://github.com/myshell-ai/AIlice
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