The Skillsync team introduced a protocol for transferring chat sessions between AI agents

Startup Skillsync has launched its eponymous platform designed to provide portability of dialogue sessions between various AI agents and chat interfaces. The solution allows users to maintain interaction context and switch between tools without losing history and accumulated data.

The main task of Skillsync is to standardize the transfer of session state. The system supports integration with popular LLM agents, allowing users to export the current context in a format compatible with other runtime environments. This eliminates the need for manual data copying when switching tools.

Developers are targeting scenarios where a user starts working in one specialized agent but needs to continue task execution in another, more suitable for a specific function. The platform minimizes "hallucinations" and loss of logic that often occur when transferring data through the clipboard or simple text copying.

The tool is undergoing active testing as part of the Y Combinator program (W26). Currently, access to the functionality is provided through an API, allowing developers of third-party AI applications to integrate session transfer support into their products. The team's near-term plans include expanding the list of supported models and data formats.

The emergence of such solutions reflects the trend towards defragmenting the AI agent ecosystem. The ability to seamlessly move context between isolated environments is becoming a critical factor for automating complex workflows that require the involvement of multiple specialized models.