找到最适合你的 AI 智能助手

The most popular open-source AI Agent framework with 380K+ GitHub stars. Self-hosted, runs 24/7 autonomously with 13,729+ skills and 50+ channel integrations including WeChat, Feishu, DingTalk, and Telegram.

Developed by HKU with just ~4000 lines of Python. Clean code with detailed comments makes it perfect for learning AI Agent core principles. Supports rapid prototyping and customization for beginners in agent development.

Rust rewrite of OpenClaw with only 3.4MB binary, <5MB memory, and <10ms startup. Supports 22+ AI models and vector memory. The best choice for running AI agents on IoT devices, edge computing, and low-cost VPS.

Just ~1000 lines of code with container-level isolation and native Agent Swarms multi-agent collaboration. Built on Apple sandbox security architecture with privacy-first design for multi-agent team workflows.

Written in Go with <10MB memory, compiled to a single cross-platform binary. Runs on $10 hardware including old phones via Termux. Ideal for education, reviving old devices, and resource-constrained environments.

Enterprise security with TEE trusted execution, 5-layer security architecture, and WASM + Docker dual sandbox isolation. Designed for finance, healthcare, and other compliance-driven industries requiring strict security standards.

OpenClaw's predecessor with Docker self-hosting, persistent memory, and self-evolution capabilities. Uses LLM-as-brain, plugins-as-hands architecture with a rich plugin ecosystem for enterprise internal deployment.

C++ rewrite of OpenClaw with deep performance optimizations. Leverages multi-threading and memory management for high-concurrency, low-latency scenarios. Ideal for performance-critical industrial applications.

Hermes Agent is the most revolutionary personal agent of 2026 by Nous Research. Unlike traditional OpenClaw, it features a built-in 'closed-loop learning' mechanism that extracts experience from every task execution and automatically converts it into new skills. With a powerful persistent memory system and minimalist Dashboard, it's the ultimate choice for users seeking 'peace of mind' and 'growth'.

Official MiniMax hosted edition based on M2.5 model. One-click cloud deployment with no local server needed. API costs just 1/7 to 1/20 of Claude, ideal for cost-sensitive users needing quality AI capabilities.

Official Moonshot AI edition based on Kimi K2.5 model. Zero deployment, mobile support, and 597 billion API calls served. China users can use it without VPN — the most convenient AI Agent solution for Chinese-language scenarios.

Supports 500+ AI model providers with 10+ channel integrations as a cloud-hosted service. Switch between models freely for the best AI capability. Ideal for users needing multiple models with maximum flexibility.

A cloud-based SaaS all-around Agent released by ByteDance. Deeply customized based on the OpenClaw protocol, requiring no local environment, focusing on cloud automation tasks. It's a typical asynchronous assistant, monitoring Feishu, web pages, and various apps 24/7 on the cloud to autonomously execute commands. It's currently the most convenient 'Cloud Little Crawfish'.

By Alibaba Cloud with native DingTalk, Feishu, and QQ support. Deploy in just 3 commands, built on AgentScope framework with deep Alibaba Cloud integration. The best AI Agent solution for China enterprise workplaces.

By Dangbei, double-click to run with full Chinese interface. 8000+ built-in skills with WeChat, DingTalk, and Siri integration. Purpose-built for Chinese users — the best zero-barrier AI assistant for the China market.

21K lines of Python code with Chinese-first design philosophy. Complete infrastructure, ready to use out of the box. All code comments in Chinese — the ideal choice for Chinese developers learning agent development.

Desktop pet-form AI assistant with persistent memory and Feishu/DingTalk/WeChat Work integration. Just @mention to use — no technical background needed. The most user-friendly desktop AI assistant for non-tech users.

One-click install desktop app with no command line needed. Intuitive GUI, fully local execution, no cloud upload. Perfect for complete beginners — have your own AI assistant running in 3 minutes.

A general-purpose AI Agent (member of the Little Crawfish ecosystem) by Tencent, codenamed QClaw. It focuses on desktop system automation, capable of operating computers, handling emails, booking tickets, and managing Feishu/WeCom messages. It achieves high execution capability while keeping data local, serving as an enterprise-grade all-around butler.

Run OpenClaw on Cloudflare Workers with no local server needed. Leverages Cloudflare's global edge network for low-latency, high-availability AI Agent services. Quick cloud setup for non-technical users.

C language implementation running AI agents on $5 chips. Optimized for Telegram with ultra-low resource usage. Perfect for embedded devices and IoT terminals where power and cost are critical constraints.

Role-playing multi-agent framework with intuitive Python API. Deep LangChain integration for defining agents with different roles collaborating on complex tasks. Great for content generation, data analysis, and workflow automation.

By Microsoft Research with conversation-driven multi-agent architecture. Features Docker sandbox execution and No-Code Studio visual orchestration. Built for complex reasoning and enterprise multi-agent applications.

OpenCode is an open-source agent focused on the AI programming field and the top competitor to Claude Code. It has deep codebase understanding and autonomous testing/fixing capabilities, supporting 75+ models (e.g., DeepSeek, GPT-5), focusing on synchronous interactive development. It is a pure productivity tool, not a general system-level assistant.

Pi is a minimal, MIT-licensed open-source coding agent engine by Mario Zechner (badlogic) — and the kernel runtime behind OpenClaw's rise. It ships only 4 built-in tools (Read / Write / Edit / Bash) and one of the shortest system prompts around, and makes up for the tiny core with a self-extensible extension system: extension state persists into sessions, hot-reloads as you iterate, and sessions are trees you can branch and rewind. MCP is deliberately not built in — bridge it with mcporter, or simply let the agent write its own extension. The monorepo spans pi-ai (unified multi-provider LLM API), pi-agent-core (agent runtime) and pi-coding-agent (CLI). Ideal for developers who want full control, or as a foundation for building their own agent.