Handoffy is a link-based tool for sharing AI conversation context so another AI chat can continue from the same point. It is meant for situations where a plain share link or full transcript is not enough: the service focuses on summaries that other AI tools can read, rather than on sharing an entire conversation as-is.
Its workflow is simple. A user asks an AI to summarize a conversation and save it to Handoffy, then receives a clickable link. That link can be pasted into another tool or shared with a teammate, and the receiving AI can read the context and continue the discussion. The site says this works out of the box with ChatGPT, Claude, Gemini, Copilot, Perplexity, Cursor, and more. It also highlights several use cases, including debug sessions, architecture decisions, cross-tool continuity, and PR context.
Handoffy says there is no signup required and no API key or authentication required for AI agents. It provides a Python script for generating a save link, and instructs AI tools to use that script rather than building the URL manually. Shared context is encrypted in the browser before it reaches the server, and the decryption key lives only in the link. The page also says that anonymous contexts are automatically deleted after seven days, while signed-in users can manage and organize saved contexts and keep them longer. Content is intended for conversation summaries rather than full transcripts, and the page notes that a few pages of text works well.
The site is served at getagentdrive.com and describes Handoffy as free to use. Its interface and reading flow are presented as web links that can be saved, shared, and opened in a browser.
Handoffy sits in PulseGate's Other AI category. It solves the problem of transferring AI conversation context and reasoning between different AI chat tools. Handoffy is a consumer product aimed at ai power users. Handoffy is free to use. It ships for the web and the command line.
Handoffy first shipped in 2026. Among its 5 catalogued features are context sharing, conversation summarization, and cross-AI compatibility.
Summary written by a language model from the project’s public pages.
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