Developer Docs
Guides, APIs, and SDKs for building web4 applications.
Getting Started
What You'll Build
Web4 development centers on creating AI agents that can autonomously interact with the internet. Whether you're building a personal assistant, a trading bot, or a content creation pipeline, the core concepts are the same:
- Agent Logic — Define what your agent does and how it reasons
- Tool Integration — Connect your agent to APIs, databases, and web services
- Payment Layer — Enable your agent to pay for and receive payment for services
- Identity & Auth — Give your agent a verifiable identity
Core Concepts
🤖 AI Agent Architecture
A Web4 agent consists of: an LLM core for reasoning, a tool registry for actions, memory for context persistence, and a communication layer for M2M interaction.
Learn about technologies →💸 x402 Micropayments
The x402 protocol adds a payment header to HTTP requests, enabling machine-to-machine transactions at web scale. Agents pay per-request for API access, data, and compute.
Read the guide →🔐 Decentralized Identity
DIDs (Decentralized Identifiers) give your agent a persistent, verifiable identity without centralized authorities. Essential for trust in multi-agent systems.
🌐 Agent Communication
Agents discover and communicate with each other through standardized protocols. Think of it as DNS + HTTP for AI — agents find, negotiate with, and transact with other agents.
Popular Frameworks
LangChain / LangGraph
The most popular framework for building LLM-powered applications. LangGraph adds stateful, multi-step agent workflows.
langchain.com →CrewAI
Multi-agent orchestration framework. Define roles, delegate tasks, and let agent teams collaborate autonomously.
crewai.com →Auto-GPT / AgentGPT
Fully autonomous agent frameworks that chain LLM calls with tool use for open-ended task completion.
Documentation is evolving
Web4 is an emerging field. We're continuously expanding these docs as the ecosystem matures.
Read Latest Updates →