A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!
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Updated
May 26, 2026 - TypeScript
A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Open-source benchmark for browser AI agents on daily tasks.
[ICLR'25 Oral] UGround: Universal GUI Visual Grounding for GUI Agents
[NAACL2025] LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications
DoomArena is a Framework for Testing AI Agents Against Evolving Security Threats
The public repo for the TinyFish web agent skill, add this to any agent and automate actions on the web
[ACL'25 (Findings)] Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents
A coding agent for the browser
TinyFish Web Agent integrations with workflow automation tools and AI agent frameworks
This repository contains the code and data of the WebMall benchmark for evaluating the capability of Web agents to find and compare product offers from multiple e-shops.
The future of digital agents. 🧠 Infinite APIs and tooling. Bring your own prompts, LLM, messaging provider. ⚡
Spatial text browser execution layer for AI agents. 10x cheaper than screenshots.
A pesonalized agent sitting at your browser that helps to accelerate your social, personal and work life across any web pages
Turn any URL into agent-callable MCP tools. One spec-compliant MCP server endpoint, no per-site build.
JavaScript browser library for adding AI agent capabilities to web applications without building your own backend.
Unit tests for AI agents that browse the web.
Provide ready-to-use AI agent workflows for coding tasks like code review, testing, and dependency audits to streamline developer work.
Budgeted latent communication for multi-agent LLM teams.
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