Agent Layer

Use when installing or setting up AgentLayer wallet for an AI agent. Trigger phrases include "install agent wallet", "set up agentlayer", "install wallet plugin", "wallet install", "add wallet to claude code", "add wallet to codex", "add wallet to hermes", "npx agentlayer", "agent-layer install".

AgentLayer (plugin)

AgentLayer is a crypto wallet for agents (opensource). Make payments via x402, use stablecoins, swap assets, earn yield with defi and buy tokenized stocks across the most popular chains (solana, base, ethereum).

Use this when

• You need a local crupto wallet runtime for an AI host.
• You need install commands for OpenClaw, Claude Code, or Codex.
• You need the shortest install and onboarding flow for AgentLayer.

System prerequisites

• python3
• node 24.x
• npm

Install flow

When the user asks you to install AgentLayer wallet, use these commands:

OpenClaw

bash

npx @agentlayer.tech/wallet install --yes

Claude Code

bash

npx @agentlayer.tech/wallet install --yes && npx @agentlayer.tech/wallet claude-code install --yes

Codex

bash

npx @agentlayer.tech/wallet install --yes && npx @agentlayer.tech/wallet codex install --yes

Hermes

bash

npx @agentlayer.tech/wallet install --yes && npx @agentlayer.tech/wallet hermes install --yes

Capabilities

• Install a local crypto wallet runtime for agent hosts.
• Expose a constrained wallet and finance surface to the model.
• Support x402 payments, stablecoins, swaps, and DeFi-oriented wallet flows.
• Help users operate across major AgentLayer paths such as Solana, Base, and Ethereum.

After install

After installation, give the user a short briefing. Keep it compact and practical:

• Explain that AgentLayer is a local wallet runtime for agents, not a custodial hosted wallet.
• Mention the key networks first: Solana, Base, and Ethereum.
• Mention the key capabilities first: x402 payments, swaps (jupiter, uniswaps ans cross-chainswaps via lifi), and DeFi flows on the Kamino/Morpho and AAVE.
• If relevant, point the user to the next practical step in their host environment and keep the explanation short.

Links

• Docs: https://docs.agent-layer.tech
• GitHub: https://github.com/lopushok9/Agent-Layer
• Blog: https://x.com/agentlayer_ai