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refly

refly-ai · refly-ai/refly

Một nền tảng mã nguồn mở để xây dựng, quản lý phiên bản và triển khai các kỹ năng tác nhân tùy chỉnh cho nhiều tác nhân lập trình AI khác nhau.

Trình xây dựng kỹ năng tác nhân mã nguồn mở đầu tiên. Định nghĩa kỹ năng bằng quy trình làm việc vibe, chạy trên Claude Code, Cursor, Codex và nhiều hơn nữa. Xây dựng Clawdbot 🦞· API cho Lovable · Bot cho Slack & Lark/Feishu · Kỹ năng là cơ sở hạ tầng, không phải lời nhắc.

7.5k sao727Giấy phép: Không có giấy phépCập nhật 3 tháng trước0 lượt mở

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Bạn có thể làm gì với nó

  • Tạo một kỹ năng tùy chỉnh cho tác nhân Claude Code của bạn để tự động hóa một quy trình kinh doanh cụ thể.
  • Triển khai một kỹ năng được xây dựng bằng Refly dưới dạng API để tích hợp với các ứng dụng bên ngoài.
  • Chia sẻ và tái sử dụng các kỹ năng tác nhân được quản lý phiên bản trên các môi trường tác nhân AI hoặc nhóm khác nhau.

Kiểm tra an toàn

Cẩn thận

Dùng được, nhưng nên đọc ghi chú trước.

  • ●Không có giấy phép rõ ràng: hỏi tác giả trước khi dùng cho sản phẩm thương mại.

Quét tự động các file trong repo. Luôn xem lại code trước khi chạy.

Trích từ README

Refly — Agent Skills Builder Powered by Vibe Workflow

English · 中文

APIs for Lovable · Webhooks for Lark/Feishu · Skills for Claude Code · Build Clawdbot

Skills are not prompts. They are durable infrastructure.

Refly is the first open-source platform for building stable, atomic, and versioned agent skills.

Try it Now


Refly Skills

Refly Skills is the official executable skill registry for Refly.

  • ⚡ Run instantly: Execute skills in Refly with one click
  • 🧩 Reusable infrastructure: Versioned skills, not one-off prompts
  • 🔌 Export anywhere: Ship skills to Claude Code or deploy as APIs
  • 🌍 Community-powered: Import, fork, and publish your own skills

Explore the registry: Refly Skills Repo

Skills are deterministic agent capabilities—reusable across workflows, teams, and runtimes.

TL;DR: Refly compiles your enterprise SOPs into executable agent skills. Built in 3 minutes. Shipped anywhere.


Quick Start

Deploy Refly

  • 📘 Self-Deployment Guide
    (Recommended for Developers) Step-by-step guide to deploying Refly on your own server using Docker.

  • 🔌 API Reference
    Complete API documentation for integrating Refly into your applications.

[!TIP] Want to explore instantly? Open the hosted workspace: Refly Workspace

What's Next?

After deployment, choose your path based on your use case:

I want to...Start hereTime
🔧 Build my first workflowCreate a Workflow5 mins
🔌 Call workflows via APIAPI Integration10 mins
💬 Connect to Lark/FeishuWebhook Setup15 mins
🤖 Export for Claude CodeExport Skills15 mins
🦞 Build a ClawdbotBuild Clawdbot20 mins

Why Refly?

Most AI Agents fail in production because they rely on "Vibe-coded" scripts and fragile, black-box logic. As the ecosystem moves toward agentic frameworks like Claude Code, AutoGen, and MCP, the bottleneck is no longer the LLM—it's the lack of standardized, reliable actions.

Refly bridges the gap between raw APIs and intelligent agents. We allow you to codify messy business logic into structured, version-controlled Agent skills that any agent can invoke with 100% reliability.

Stop hard-coding tools. Build modular skills once in Refly's visual IDE and deploy them as MCP servers, standard APIs, or portable SDKs to any agent framework. Try it Now


Core Capabilities

🎯 Construct with Vibe (Copilot-led Builder)

Describe your business logic in natural language, and Refly's Model-Native DSL compiles your intent into a high-performance skill.

  • Intent-Driven Construction: Describe the work once; Refly turns intent into deterministic, reusable, and composable skills.
  • Efficiency at Scale: Streamlined DSL optimized for LLMs, ensuring fast execution and significantly lower token costs.
  • 3-Minute Deployment: Transition from a static enterprise SOP to a production-ready agent skill in under 3 minutes.

⚡ Execute with Control (Intervenable Runtime)

Break the "black box" of AI execution with a stateful runtime designed for deterministic reliability.

  • Intervenable Runtime: Pause, audit, and re-steer agent logic mid-run to ensure 100% operational compliance.
  • Deterministic Guarantees: Enforce strict business rules that minimize hallucinations and handle failure recovery.

🚀 Ship to Production (Unified Agent Stack)

Unify MCP integrations, tools, models, and reusable skills into a single execution layer.

  • Universal Delivery: Export as APIs for Lovable, webhooks for Slack or Lark/Feishu, or native tools for Claude Code and Cursor.
  • Stable Scheduling: Run workflows reliably on schedule with managed execution.

🏛️ Govern as Assets (Skill Registry)

Transform fragile scripts into governed, shared infrastructure across your organization.

  • Central Skill Registry: Securely manage, version, and share agent capabilities.
  • Team Workspace Collaboration: Build together with native version control and audit logs.

Ecosystem

Refly is designed to be the universal bridge between your existing enterprise toolchain and the next generation of agentic runtimes.

Tooling & Protocols (Inputs)

Bring your own data and logic into Refly with zero friction.

  • 3,000+ Native Tools: Seamlessly integrate with Stripe, Slack, Salesforce, GitHub, etc.

A full list of supported model and tools providers can be found in provider-catalog.json.

  • MCP Support: Full compatibility with Model Context Protocol servers
  • Private Skill Connectors: Connect to your databases, scripts, and internal systems

Agent Runtimes & Platforms (Outputs)

Export your deterministic skills to any environment where work happens.

  • AI Coding Tools: Native export for Claude Code and Cursor (coming soon)
  • App Builders: Power Lovable or custom frontends via stateful APIs
  • Automation Hubs: Deploy as webhooks for Slack, Lark/Feishu, or Microsoft Teams
  • Agent Frameworks: Compatible with AutoGen, Manus, LangChain, and custom Python stacks

Why Teams Choose Refly

For Builders: From Vibe to Production

Most agent tooling today falls into two categories:

  • Workflow builders (n8n, Dify): Great for orchestration, but workflows are fragile, trigger-only "black boxes," and hard to reuse.
  • Agent fram
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