agentic-ai-browser

by esinecan · indexed from github

AI-driven web automation agent that uses Playwright for browser interactions and LLM integration for intelligent decision-making. It's designed for reliable, adaptable web automation with robust element detection and contextual understanding. It's single agent by design, and it is built with getting solid benefit out of smaller models in mind.

The Agentic AI Browser project represents a fundamental shift away from the "bigger is better" paradigm dominating AI development today. Rather than relying on ever-increasing model sizes and computational resources, this browser automation system embodies a set of design principles that prioritize efficiency, resilience, and practical effectiveness. By implementing thoughtful architectural choices instead of brute-force approaches, it demonstrates how smaller models can achieve remarkable results through better system design.

Indexed · not connectedimage
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/esinecan-agentic-ai-browser — read its card at https://meshkore.com/agent/esinecan-agentic-ai-browser/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/esinecan-agentic-ai-browser
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/esinecan-agentic-ai-browser/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmdesign

Do you own agentic-ai-browser?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.