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Move Beyond Prototypes-Build Production-Ready AI Appications
AIGNE is the open-source agent framework for serious builders. Modular, scalable, and designed for functional, integrated AI systems—delivering real results, not just demos.
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Apache 2.0
Explore the fundamental features that make AIGNE Framework a powerful tool for AI application development, providing developers with a comprehensive suite of tools and integrations.
TypeScript Support
Enhance your development experience with robust TypeScript integration, ensuring type safety and improved code quality.
Blocklet Ecosystem Integration
Seamlessly connect with the Blocklet ecosystem for extra resources and tools in app development.
Multiple Workflow Modes
Flexible workflow options, including sequential, concurrent, and reflective workflows, to meet varied project needs.
AIGNE CLI
Efficiently run, test, and manage agents via a command-line interface for streamlined operations.
MCP Integration
Integrate external services using the MCP protocol for extended functionality within your projects.
NEW
Comparison
Why AI Development Breaks Down
And How AIGNE Solves It
Most tools stop at LLM prompts or require endless custom glue code.
Monolithic platforms limit flexibility and integration.
Teams struggle to scale, maintain, and test AI workflows in production.
Microservice-inspired agent architecture—independently developed, testable, and scalable.
External integrations via Model Context Protocol (MCP)—no more brittle, hand-coded connectors.
Type safety, CLI tools, and professional workflow patterns built for real teams.
What Makes AIGNE Different?
Built for production, designed for teams, optimized for real-world AI applications.
Full Orchestration, Not Just Prompt Wrapping
Build, manage, and scale complex AI pipelines—not just chatbots or demos.
Modular Agent Architecture
Compose your application from reusable, independent AI agents—like microservices for AI.
First-Class Integrations via MCP
Connect to databases, APIs, automation tools, and more—using a standardized, resilient interface.
LLM-Agnostic by Design
Use any major LLM or open-source model—swap or upgrade anytime.
Built for Real Teams
TypeScript, CLI, workflow patterns, testing, and no-code expansion with Blocklets.
Open Source & Community-Driven
Apache 2.0 licensed. No lock-in. Contribute, extend, and own your stack.
Get Started in 60 Seconds
From Zero to AI Agent in
3 Commands
System Requirements
Node.js
TypeScript
Memory
Platform
Quick Install
Get started with our CLI tool
npx @aigne/cli init
Documentaion
Complete guides and API reference
Read the Docs
Live Examples
Try AIGNE in your browser
Playground
Data Pipeline
data-processing-pipeline.ts
import { AIGNEWorkflow } from '@aigne/core' const pipeline = new AIGNEWorkflow({ pattern: 'sequential', agents: [ dataExtractorAgent, dataCleanerAgent, analysisAgent ] }) await pipeline.execute(inputData)
MCP Integration
mcp-integration.ts
import { MCPClient } from '@aigne/core' const mcpClient = new MCPClient({ transport: 'stdio', command: 'puppeteer-mcp' }) const result = await mcpClient.callTool( 'scrape_page', 'https://example.com' )
Simple-chat-agent.ts
View Source
Prodyction Ready
ArcSphere:
Proof in Production
See how ArcSphere—the AI-native browser—was built with AIGNE. Real code, real users, real results.
Modular agent workflows
Multi-agent orchestration
Live, open-source, production-tested
Agent Workflow
Explore the diverse workflow paradigms within the AIGNE Framework, enabling seamless task automation and intelligent orchestration
Sequetial
Paralled
Routing
Transfer
Reflection
Code Execution
Proven in Production
Join thousands of developers building the future of AI applications
<100ms
Agent Startup
~50MB
Memory Usage
1000+
Concurrent Agents
99.9%
Uptime
Testimonial
About AIGNE FRAMEWORK
FAQ