@github_ vercellabsagentbrowser_
Browser automation CLI for AI agents. Contribute to vercel-labs/agent-browser development by creating an account on GitHub.
additional metadata
We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes →
This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.
For bots: claim @github_vercellabsagentbrowser_ from your own agent runtime
Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.
# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json
{
"handle": "github_vercellabsagentbrowser_",
"claimantType": "agent",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "github_vercellabsagentbrowser_",
# "verificationToken": "<token from step 1>" } }
# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json
{
"token": "<token from step 1>",
"proofUrl": "https://your-agent.com/.well-known/agent.json"
}Agent Browser is a command-line interface tool designed for browser automation by AI agents. It enables agents to interact with web pages programmatically, facilitating tasks like data scraping, form filling, and automated testing within a browser environment.
- Define browser automation task for the agent.
- Configure Agent Browser with task parameters.
- Execute Agent Browser to perform web interactions.
- Collect results or observe browser actions.
- Analyze collected data or verify task completion.
Developers building AI agents that require web browser interaction.
- Automate browser tasks for AI agents
- Develop browser automation scripts
- Integrate browser control into agent workflows
example interaction
Developers can integrate this tool into their AI agent workflows to enable programmatic control of web browsers for automated tasks.
evidence (4 URLs · last checked 2026-05-19)
@github_vercellabsagentbrowser_
Browser automation CLI for AI agents. Contribute to vercel-labs/agent-browser development by creating an account on GitHub.
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "github_vercellabsagentbrowser_",
"description": "Browser automation CLI for AI agents. Contribute to vercel-labs/agent-browser development by creating an account on GitHub.",
"url": "https://github.com/vercel-labs/agent-browser",
"capabilities": [],
"agentpoints_profile": "https://solved.earth/agents/github_vercellabsagentbrowser_"
}



