What is AG-Kit?
AG-Kit is a comprehensive Agent development platform that provides complete toolchains from Agent development to production deployment. It bridges the gap between powerful Agent logic and rich user experiences.Key Value Propositions
- Agent Development Platform: Complete solution for building production-ready Agents
- Multi-Framework Support: Choose the best framework for your use case without vendor lock-in
- Open Protocol Design: Standardized interfaces for ecosystem growth and unified communication
- End-to-End Toolchain: Backend SDKs, frontend components, and DevOps tools
- Rich Application Capabilities: Intelligent chat, generative UI, and human-in-the-loop workflows
Supported Frameworks
AG-Kit provides unified adaptation for multiple Agent frameworks, enabling seamless deployment across platforms.Supported Frameworks
| Framework | Quickstart | Demo |
|---|---|---|
| AG-Kit TS | Quickstart | Demo |
| LangGraph Py | Quickstart | Demo |
| LangGraph TS | Quickstart | Demo |
| LangChain TS | Quickstart | Demo |
| LlamaIndex TS | Quickstart | Demo |
| Mastra TS | Quickstart | Demo |
| tRPC-Agent-Go | Quickstart | — |
| AG-UI TS | Quickstart | — |
Framework Benefits
Unified Interface: Use the same client SDKs regardless of which Agent framework you choose. Easy Migration: Switch between frameworks without changing your frontend code. Best of Both Worlds: Choose the right framework for your use case while maintaining consistent deployment and integration.Get Started
Choose your preferred framework and start building intelligent agents.AG-Kit TypeScript
Built-in framework for rapid development →
AG-Kit Python
Built-in framework for AI development →
LangGraph TypeScript
Complex workflows in TypeScript →
LangGraph Python
Advanced architectures in Python →
Built-in Tools & Capabilities
AG-Kit provides a comprehensive set of built-in tools and capabilities that work across all supported frameworks.Core Tools
| Tool Category | Description | Examples |
|---|---|---|
| File System | Read, write, and manage files | read_file, write_file, list_directory |
| Code Execution | Execute code in various languages | execute_python, execute_javascript |
| Web Search | Search the web and retrieve information | web_search, fetch_url |
| Database | Connect to databases and run queries | sql_query, mongodb_query |
| API Integration | Call external APIs and services | http_request, openapi_client |
| MCP Tools | Model Context Protocol integration | mcp_server, mcp_client |
Advanced Features
- Human-in-the-Loop: Pause execution and wait for user input
- Streaming Responses: Real-time response streaming
- Memory Management: Persistent conversation context
- Error Handling: Robust error recovery and retry mechanisms
- Type Safety: Full TypeScript support across all tools
Building Agent Applications
AG-Kit provides comprehensive tools and components for building production-ready agent applications.Client SDKs & UI Components
- Multi-Language SDKs: TypeScript, Python, JavaScript, and WeChat Mini Program clients
- React/Next.js Integration: Complete chat interfaces, hooks, and seamless framework integration
- Headless Components: Customizable, framework-agnostic components with built-in accessibility
- Advanced Features: Streaming responses, session management, error handling, and loading states
Key Capabilities
- Generative UI: Tool-based UI generation with interactive elements and real-time updates
- Human-in-the-Loop: Execution interrupts, approval workflows, and custom interaction interfaces
- Client Side Tools: Browser-based tool execution, state management, and API integration
- Shared State: Global and session state management with real-time synchronization
What Problems Does AG-Kit Solve?
For AI Application Developers
Problem: Integrating Agent capabilities into applications is complex and inconsistent.Solution: AG-Kit provides unified client SDKs and pre-built components that work with any Agent framework.
For Agent Engineers
Problem: Choosing a framework locks you into specific patterns and limitations.Solution: AG-Kit supports multiple frameworks with a common interface, giving you flexibility without vendor lock-in.
For Ecosystem Contributors
Problem: Building compatible tools and extensions requires understanding multiple proprietary APIs.Solution: AG-Kit’s open protocols enable anyone to build compatible tools, clients, and integrations.
Model Provider Support
AG-Kit supports multiple LLM providers through a unified interface, making it easy to switch between different models and providers. Supported providers include OpenAI, Google, Zhipu AI, Qwen, DeepSeek, and Ollama, with consistent APIs across all providers for easy switching and configuration.AG-Kit vs. Competitors
| Feature | AG-Kit | Google ADK | Copilot Kit | Vercel AI SDK | LangGraph |
|---|---|---|---|---|---|
| Agent Development Depth | ✅ Deep | ✅ Deep | ⚠️ Limited | ⚠️ Limited | ✅ Deep |
| Application Integration | ✅ Rich | ⚠️ Basic | ✅ Rich | ✅ Rich | ❌ None |
| Multi-Framework Support | ✅ Yes | ❌ No | ❌ No | ⚠️ Partial | ❌ No |
| Open Protocols | ✅ Full | ⚠️ Partial | ❌ No | ⚠️ Partial | ❌ No |
| Platform Completeness | ✅ Full | ⚠️ Partial | ⚠️ Partial | ⚠️ Partial | ⚠️ Partial |
| UI Components | ✅ Yes | ❌ No | ✅ Yes | ✅ Yes | ❌ No |
| TypeScript/Python | ✅ Both | ✅ Multi | ✅ TS | ✅ TS | ✅ Both |
Why Choose AG-Kit?
vs. Google ADK:- AG-Kit adds rich application integration on top of deep Agent capabilities
- Multi-framework support provides more flexibility
- Better for user-facing applications
- AG-Kit provides deeper Agent development capabilities
- Not limited to React
- Better for complex Agent workflows
- AG-Kit is a complete platform, not just a toolkit
- Deeper Agent lifecycle management
- Multi-framework Agent support
- AG-Kit includes UI components and client SDKs
- End-to-end platform from Agent to application
- Can use LangGraph within AG-Kit