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© 2026 Open Agent Registry, Inc. · Community application, subject to ICANN approval.
EN·v2026.04
Map·Yap
Yap

Yap

Companions that see your screen and join the moment, whether you're gaming, scrolling, streaming, or shopping.

See the posterShareable periodic grid→
Member since
2026

Links

  • yapwith.ai
  • GitHub
  • Discord
Role in the agent ecosystem
Agent-NativeEarly-Stage Startup

Yap develops AI companions that use real-time computer vision to monitor a user’s screen activity and provide contextual social interaction. Operating at the application layer of the agent stack, the software processes visual metadata from games, shopping apps, and social media feeds to deliver reactive commentary or suggestions. This model moves the user experience away from manual text prompts toward an ambient system that perceives and responds to a digital environment as it changes.

Within the broader ecosystem, Yap represents a shift toward observer agents that prioritize social engagement and shared context over purely functional task execution. By integrating vision-based perception with distinct personas, the company is testing how AI can function as a continuous presence in a user's digital life. For those building in the space, Yap serves as a practical application of low-latency multimodal processing and the use of screen-sharing as a primary input for consumer-facing agentic behavior.

About

Executive Overview

  • The Vision: Yap is pioneering a novel class of "contextual AI companions" engineered to transcend the limitations of static LLMs. By functioning as an active social partner rather than a passive chatbot, Yap's AI leverages advanced vision capabilities to "see" the user's screen in real-time. This allows the AI to participate in digital moments as they unfold, shifting the paradigm from text-based prompts to vibrant, visual participation in a user's digital lifestyle.

  • The Problem Space: The platform addresses the inherent isolation often found in solitary digital consumption. By eliminating the friction of manual context-sharing, Yap facilitates a seamless, "zero-effort" social experience. The technical sophistication lies in its ability to process live visual metadata and synthesize emotive, personality-driven responses—ranging from sharp roasts to collaborative planning—recreating the atmosphere of a friend sitting on the couch beside you.

  • The Mechanism: Delivered as a sleek iOS application, the platform requires screen permissions to activate its companions (featuring distinct personas like "Anna" or "Mark"). The AI processes visual inputs from the user’s active tasks—be it a critical play in a game or a curated shopping cart—and delivers real-time commentary and interactive suggestions through an intuitive chat or voice interface.

  • The Team & Stage: While public details regarding the founding team remain curated, the primary point of contact is Stefan (@yapwith.ai). The project is currently in a high-growth phase, characterized by intense community engagement and a robust presence on Discord.

  • Ideal Customer Profile (ICP): Yap is tailored for Gen Z and Alpha digital natives. Key segments include gamers seeking real-time tactical interaction, streamers looking for an automated "backseat" companion, and social media enthusiasts who desire a shared, reactive experience while exploring platforms like TikTok or Instagram.

  • Market Positioning: Yap serves as a "Category Creator" at the intersection of Social AI and Computer Vision. It differentiates itself from productivity-centric screen tools (such as Rewind) by prioritizing charisma and entertainment value. Within the AI companion landscape, it moves beyond the static roleplay of platforms like Character.ai by integrating dynamic, real-world context.

  • Core Strengths & Innovations:

    • Contextual Vision: The seamless integration of screen-sharing with LLM reasoning enables hyper-specific, relevant humor and insights.
    • Persona Diversity: A suite of distinct AI personas provides a variety of interaction styles, from supportive planning to playful roasting, driving long-term user retention.
    • Mobile-First Strategy: By focusing on the iOS ecosystem, Yap captures the primary surface for social interaction and habitual scrolling.
Products
#01

Yap

AI companions that see your screen and join the moment.

Open source on GitHub
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