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官方说明3 个来源MCP 服务3 天前
GitHub

GitHub

Quick Start • Demo • Development • Twitter • Reddit ATTENTION
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 e2b-dev/awesome-ai-agents 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 5 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

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
---
**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.
----
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.
---
🚀 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**.
---
- 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:**
来源
awesome · https://github.com/myshell-ai/AIlice
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