Wabi surpasses single-conversation limits as a smart multi-track assistant that builds its software autonomously

Eugenia Quida, the founder and former CEO of the Replicca platform, launched the smart personal assistant app “Wabi” to the general public, a year after she left the leadership of the famous conversation platform. This launch is seen as a shift in personal assistant design toward a collaborative, multi-track architecture that operates within a messaging app, where the autonomous agent generates and customizes mini-apps inside each conversation instead of relying solely on traditional text replies.

Through “Wabi,” Quida bets on addressing the structural weakness that competing assistants such as “Instinct” and “Mews” suffer from, namely confining user interactions to a single conversation thread. According to AI research and operational test results, the indefinite accumulation of context in one conversation leads to a decline in model accuracy over time, which raises the likelihood of hallucinations, loss of instruction tracking, or breaching established safety limits; therefore the new system splits tasks into independent tracks, each dedicated to a specific goal such as health, family, or work.

The project has seen practical development since its first version, announced last year alongside an initial funding round of twenty million dollars, when “Wabi” began as a social platform that let users build their apps via text commands and share them. However, the development team observed that users prefer detailed personal software over ready-made app-store solutions, yet they are unwilling to invest the effort and time to build them manually. In the current release, the smart agent handles the programming decision entirely; once linked to an email account, it automatically creates a set of tracks and helper apps, while also allowing requests for additional apps such as activity trackers and calendar schedulers.

Breaking the isolation of single-conversation threads is the platform’s most prominent technical betBy turning conversation threads into shared spaces where individuals manage daily tasks together with the smart agent, the environment allows the insertion of shared apps above the chat to track joint activities, reciprocal questions, and family calendars, with strict privacy controls limited to each individual conversation so that all participants see any request for personal information such as calendar data or banking accounts. The platform relies entirely on cloud computing, storing most data in the United States and holding the SOC 2 security compliance certification.

Moving the user experience from a simple chat interface to multi-agent work environments reshuffles the priorities of developers and product teams in the region.This development forces emerging tech companies in the Gulf and Egypt to abandon traditional models that confine the client to a single text window whose memory fades over time, and to move toward building specialized tracks for each professional or family sector. Conversely, the reliance of global platforms such as “Wabi” on U.S. data centers and the retrieval of sensitive data like email and calendars creates a direct regulatory hurdle for Gulf firms bound by data-localization and personal-data protection laws, giving local entrepreneurs a chance to fill the gap with collective assistants that operate within sovereign clouds and accommodate local languages and dialects.

The app is currently available for free without a final profit model in place, while the company is in talks to raise new funding rounds to cover operating costs. The vision dates back twelve years, when Quida presented the “IO” robot at the Tech Crunch Disrupt conference as a daily-task assistant before the deep-learning surge and large-language models emerged, confirming today that a personal agent’s efficiency is no longer measured by its chat skill but by its ability to craft shareable practical tools.