StableBrowse builds a browser layer for AI agents that transforms dynamic websites into structured knowledge graphs. The platform gives AI agents persistent memory so they can complete tasks reliably without starting from scratch each time, handling form filling, data extraction, and workflow navigation. It targets reliability problems agents face when operating across changing web interfaces. The company is based in San Francisco and is part of YC's Spring 2026 batch.
StableBrowse
ActiveBrowser Layer for AI agents
Total raised
$500K
1 round
Stage
Seed
Jan 2026
Team
1-10
since 2026
Pricing
—
Founded
2026
San Francisco, United States
Agent-ready
—
Browser layer purpose-built for AI agents
Transforms dynamic websites into structured knowledge graphs
Persistent memory across agent sessions
Reliable form filling
Structured data extraction
Workflow navigation across web interfaces
Resilience to changing web UIs
Reduces need for agents to start tasks from scratch
12/100
Early
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
No public agent surfaces detected yet.
Jan 2026 Seed $500K ● Y Combinator
Capital network
$500K raised ·1 backer·10 network links
- Backers1
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is StableBrowse?
- StableBrowse is a browser layer for AI agents that turns dynamic websites into structured knowledge graphs and gives agents persistent memory to reliably fill forms, extract data, and navigate workflows.
- What problem does it solve?
- It addresses the reliability issues agents face on changing web interfaces by structuring sites and retaining memory so tasks do not start from scratch each time.
- How does persistent memory help agents?
- It lets agents retain knowledge of websites and workflows across sessions, improving consistency and reducing repeated work.
- What tasks does StableBrowse support?
- It supports form filling, data extraction, and multi-step workflow navigation across dynamic websites.
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