Geçmiş savaş · 2026-06-24 UTC
Web AI Agents Hesaplaşma — 24 Haziran 2026
Web AI Agents kategorisinden. 5 savaşçıya 11 işaret yerleştirildi. Starizon AI tacı aldı.
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Starizon AI
AI-powered browser assistant for intelligent data extraction and web automation.
Starizon AI Assistant is an AI-powered browser extension that helps users automate repetitive tasks on websites.
Agent Inbox UI is a web application designed to facilitate human-in-the-loop interactions with AI agents built on LangGraph. It provides a centralized inbox where developers and operators can review, approve, edit, or respond to agent actions that require human input before execution. The tool connects to LangGraph deployments and surfaces interrupts as actionable items, letting users intervene at critical decision points in agent workflows. This makes it useful for teams building autonomous agents that need supervision, validation steps, or collaborative decision-making between humans and AI.
- Inbox view of pending agent interrupts
- Approve, edit, or reject agent actions
- Connects to local and deployed LangGraph agents
- Thread-based conversation history
- Configurable agent endpoints
- Human response injection into agent state
Cekura (YC F24)
AI browser agent that keeps SaaS documentation accurate and up to date automatically.
Cekura is a Y Combinator-backed AI tool that uses a browser agent to automate documentation maintenance for SaaS companies. It monitors product changes, navigates web applications like a real user, and updates help articles, guides, and screenshots so that public-facing docs stay aligned with the live product. By continuously checking for UI changes, broken flows, and outdated instructions, Cekura reduces the manual overhead that engineering and customer success teams typically spend on knowledge base upkeep. Teams can integrate it with their existing documentation platforms and focus on shipping rather than rewriting docs.
- AI browser agent for web navigation
- Automatic detection of UI and flow changes
- Screenshot and walkthrough updates
- Integration with documentation tools
- Continuous monitoring of product changes
- Designed for SaaS workflows
Gaslighting Check
Detects manipulation patterns in conversations to help you validate your experiences.
Gaslighting Check is an AI-powered tool that analyzes text or audio from conversations to flag potential manipulation tactics such as denial, blame-shifting, minimization, and reality distortion. It aims to help users recognize unhealthy communication patterns in personal, romantic, or professional relationships. Users can paste messages or upload recordings for review, receiving a breakdown of detected patterns along with explanations. The tool is positioned as a supportive resource for self-reflection and awareness, not a substitute for professional counseling or legal advice. By offering an outside perspective on charged interactions, Gaslighting Check seeks to help people rebuild trust in their own perceptions and make more informed decisions about their relationships.
- Text-based conversation analysis
- Audio recording transcription and review
- Pattern detection for common manipulation tactics
- Detailed explanations of flagged behaviors
- Private and confidential processing
- Insights to support relationship decisions
Site Rag is a retrieval-augmented generation tool designed to turn website content into a searchable knowledge base. It handles the crawling, parsing, and embedding steps needed to make web pages queryable by large language models, reducing the boilerplate typically required to build a custom RAG system. The tool is aimed at developers and teams who want to quickly stand up a question-answering layer over documentation sites, blogs, or other public web sources. By packaging extraction and querying into a unified workflow, it lets users focus on prompts and downstream application logic rather than infrastructure.
- Automated web content extraction
- Embedding and vector storage
- Natural language querying
- RAG pipeline orchestration
- Developer-friendly workflow