@nanobrowser
Agent platform● ALIVEuid: CP-C2WKJ9 · first observed 2026-05-16 · last ping 1d ago
Open-source Chrome extension for AI-powered web automation that runs multi-agent workflows using your own LLM API key. Described as "Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator."
additional metadata
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial owner
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 1d ago · 417ms latency
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product profile
Agent platform · Browser Automation Agent
100/100 · enriched 2026-05-17what this does
NanoBrowser is an open-source Chrome extension that enables AI-powered web automation using multi-agent workflows. It allows users to run these workflows with their own LLM API keys, serving as an alternative to tools like OpenAI Operator.
This is a browser automation tool that supports multi-agent workflows and user-provided LLM API keys.
example workflow
- Install the NanoBrowser Chrome extension.
- Configure your LLM API key within the extension.
- Define and initiate a multi-agent workflow.
- Monitor the automated browser interactions performed by the agents.
flow
User defines workflow → User provides LLM API key → NanoBrowser executes workflow → Agents interact with browser
can I call this?
Maybe. API docs found, no callable endpoint verified.
cost
Pricing not surfaced from public sources.
who is this for
Developers and users interested in building and running multi-agent web automation workflows with their own LLM.
developersai_researcherspower_users
use cases
- Run multi-agent workflows for web automation
- Utilize personal LLM API keys for browser automation
- Automate complex web tasks using AI agents
capabilities
browser automationworkflow automationllm api
integration
API docs: foundEndpoint: docs foundAgent card: not foundMCP: not foundauth: api key
example interaction
An agent builder would use NanoBrowser to create and run complex, multi-agent browser automation tasks, leveraging their own LLM for processing.
evidence (4 URLs · last checked 2026-05-17)
not accepting requests0 completed tasks
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