What is AIGNE?
🚀 Quick Start
Create Project
Run Agent
Serve as MCP Server
Testing
Observe Agent
Agent Definitions
Creating AI Agents
Creating MCP Agents
Creating Agents through JS Functions
Using the Observability
Building Your First Agent
Using MCP Server to Create Agents
Adding Skills to Agents
Enable Memory for Agent
Custom User Context
Serving Agents as APIs
Enable Memory for Client Agent
Available Chat Models
Complete AIGNE CLI Workflow Guide
AIGNE
Agent
FunctionAgent
AIAgent
TeamAgent
MCPAgent
GuideRailAgent
ChatModel
HTTP Transport
@aigne/agent-library
@aigne/cli
@aigne/core
aigne
agents
agents/agent
agents/ai-agent
agents/guide-rail-agent
agents/mcp-agent
agents/team-agent
agents/transform-agent
agents/user-agent
memory
@aigne/platform-helpers
@aigne/publish-docs
@aigne/sqlite
@aigne/test-utils
@aigne/transport
http-server
http-client
License
Contributing to AIGNE Framework
Release Process
Creating a basic AI Agent in the AIGNE framework is intuitive and efficient. This guide will walk you through building and running your first intellig
7/15/2025
Model Context Protocol (MCP) is a standardized protocol that can be used to create specialized domain Agent services. The AIGNE framework provides the
By adding skills to Agents, you can significantly expand their functional scope, enabling Agents to perform more specialized tasks. This guide will de
In conversational applications, the ability to remember previous conversation content is a very important feature. The AIGNE framework provides a simp
In multi-user applications, maintaining independent conversation memory for different users is an important requirement. The AIGNE framework provides
After creating an Agent, you may want to serve it as a Web API, making it callable by various client applications (such as websites, mobile apps, or d
Client Agent memory functionality is an important feature of the AIGNE framework that allows storing and managing conversation history locally on the
The AIGNE framework supports multiple chat models, allowing you to choose the AI capabilities that best suit your application scenarios. This document
This guide will take you through the complete AIGNE CLI workflow, from creating a project to configuring Agents, running and deploying services. Throu