Built for developers who use multiple AI tools
Every AI coding tool starts every session from zero. Switch from Cursor to Claude Code? It has no idea what you just built. Open Windsurf for a quick refactor? It doesn't know the architecture decisions you made an hour ago. We call this context amnesia, and it's the biggest productivity killer for developers using multiple AI assistants.
Context amnesia costs developers hours every day
Modern developers use 2-3 AI coding assistants daily. Each tool operates in complete isolation — no shared memory, no shared decisions, no shared understanding of your codebase.
The result? You repeat yourself constantly. You re-explain architecture decisions. You paste the same context into every new session. And when an AI makes a decision in one tool, the others have no way to know about it.
One intelligent memory for all your AI tools
Swylink uses the Model Context Protocol (MCP)to give every AI coding tool in your stack access to a shared, persistent, intelligent context layer. Instead of chat logs, Swylink captures structured metadata — summaries, decisions, tags, and file changes — and makes them searchable via semantic vector search.
Semantic Search
Find past decisions by meaning, not keywords. 768-dimension vector embeddings surface relevant context instantly.
Structured Metadata
Every snapshot captures summaries, decisions, tags, and files changed. Your AIs get the full picture, not a chat log.
Cross-IDE Memory
Context flows between Claude Code, Cursor, Windsurf, Cline, Copilot, and more via the Model Context Protocol.
Jonas Leite
Founder & CEO
Building intelligent context infrastructure for AI coding tools. Jonas experienced the context amnesia problem firsthand while using Claude Code, Cursor, and Windsurf daily — and built Swylink to solve it. His mission is to make every AI tool in a developer's stack share a single, persistent memory.
Every AI tool shares a persistent, intelligent memory
We believe the future of AI-assisted development isn't about any single tool winning. Developers will always use multiple AI assistants, each with different strengths. The missing piece is the context layer that connects them all — a shared memory that makes switching between tools seamless and every AI instantly productive.
Swylink is building that layer. Our goal is to become the invisible infrastructure that makes AI collaboration feel like working with a single, omniscient assistant — regardless of which tool you open.