Slashy (YC S25) Builds Cross-App AI Agent Using Memory, Tools, and Semantic Search

Slashy, a Y Combinator S25 startup, has developed a cross-app AI agent that reads data and executes actions across multiple disconnected SaaS platforms without manual API integration. The system is built on three core primitives: custom tools that interface with external APIs, semantic search that queries app-specific embedding stores in parallel, and personalized memory that retains user preferences and session context. Each SaaS connector exposes versioned tool definitions, allowing API changes to be absorbed without retraining the underlying language model. The agent manages state through a session object that tracks active tool calls, errors, and retry logic, applying strategies like exponential backoff for rate limits and proactive token refresh for auth failures. Memory entries are scoped by user and app context to prevent cross-app data leakage, while timestamp-based versioning helps resolve conflicts between data from different sources.