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Agentcore

OrganizationPopular
vercel-labs
agentcore

Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.

Overview

Publishervercel-labs
Repositoryagent-browser
Skill nameagentcore
Stars
42.8K
Forks
2.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel-labs on GitHub. Read the source before you install it.

Installation

Install the Agentcore AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel-labs/agent-browser.git /tmp/agent-browser
mkdir -p .claude/skills
cp -r /tmp/agent-browser/skill-data/agentcore .claude/skills/agentcore
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentcore in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agentcore on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agentcore is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Bedrock AgentCore

Run agent-browser on cloud browser sessions hosted by AWS Bedrock AgentCore. All standard agent-browser commands work identically; the only difference is where the browser runs.

Setup

Credentials are resolved automatically:

  1. Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, optionally AWS_SESSION_TOKEN)
  2. AWS CLI fallback (aws configure export-credentials), which supports SSO, IAM roles, and named profiles

No additional setup is needed if the user already has working AWS credentials.

Core Workflow

bash
# Open a page on an AgentCore cloud browser
agent-browser -p agentcore open https://example.com

# Everything else is the same as local Chrome
agent-browser snapshot -i
agent-browser click @e1
agent-browser screenshot page.png
agent-browser close

Environment Variables

VariableDescriptionDefault
AGENTCORE_REGIONAWS regionus-east-1
AGENTCORE_BROWSER_IDBrowser identifieraws.browser.v1
AGENTCORE_PROFILE_IDPersistent browser profile (cookies, localStorage)(none)
AGENTCORE_SESSION_TIMEOUTSession timeout in seconds3600
AWS_PROFILEAWS CLI profile for credential resolutiondefault

Persistent Profiles

Use AGENTCORE_PROFILE_ID to persist browser state across sessions. This is useful for maintaining login sessions:

bash
# First run: log in
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/login
agent-browser snapshot -i
agent-browser fill @e1 "user@example.com"
agent-browser fill @e2 "password"
agent-browser click @e3
agent-browser close

# Future runs: already authenticated
AGENTCORE_PROFILE_ID=my-app agent-browser -p agentcore open https://app.example.com/dashboard

Live View

When a session starts, AgentCore prints a Live View URL to stderr. Open it in a browser to watch the session in real time from the AWS Console:

Session: abc123-def456
Live View: https://us-east-1.console.aws.amazon.com/bedrock-agentcore/browser/aws.browser.v1/session/abc123-def456#

Region Selection

bash
# Default: us-east-1
agent-browser -p agentcore open https://example.com

# Explicit region
AGENTCORE_REGION=eu-west-1 agent-browser -p agentcore open https://example.com

Credential Patterns

bash
# Explicit credentials (CI/CD, scripts)
export AWS_ACCESS_KEY_ID=AKIA...
export AWS_SECRET_ACCESS_KEY=...
agent-browser -p agentcore open https://example.com

# SSO (interactive)
aws sso login --profile my-profile
AWS_PROFILE=my-profile agent-browser -p agentcore open https://example.com

# IAM role / default credential chain
agent-browser -p agentcore open https://example.com

Using with AGENT_BROWSER_PROVIDER

Set the provider via environment variable to avoid passing -p agentcore on every command:

bash
export AGENT_BROWSER_PROVIDER=agentcore
export AGENTCORE_REGION=us-east-2

agent-browser open https://example.com
agent-browser snapshot -i
agent-browser click @e1
agent-browser close

Common Issues

"Failed to run aws CLI" means AWS CLI is not installed or not in PATH. Either install it or set AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY directly.

"AWS CLI failed: ... Run 'aws sso login'" means SSO credentials have expired. Run aws sso login to refresh them.

Session timeout: The default is 3600 seconds (1 hour). For longer tasks, increase with AGENTCORE_SESSION_TIMEOUT=7200.

Frequently asked questions

What does the Agentcore AI skill do?

Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.

Why use Agentcore on TypingMind?

Because you install it once and use it with any model. Agentcore is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agentcore in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel-labs/agent-browser/tree/main/skill-data/agentcore. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agentcore?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agentcore?

As many as you like. As long as a model supports skills, you can use Agentcore with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agentcore AI skill free?

Yes. It is published on GitHub by vercel-labs under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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