Every session starts blank. An hour of re-pasting context before any real work begins.
A persistent memory layer that runs across every AI tool you use. Decisions, constraints, and context, portable, owned by you, never lost on a tool switch.
Conversations are stateful within a session and stateless between them. Switch tools, open a new chat, the state dies. It isn't a bug in one product. It's how every AI tool on the market is built today.
Every session starts blank. An hour of re-pasting context before any real work begins.
Last week's rejected approach, last month's constraint, gone with every new chat window.
Friday's agent never heard Tuesday's constraint. It ships the wrong thing. No warning.
You generate handoff document after handoff document. You paste them at the start of new sessions. You watch them degrade when they exceed context limits. You lose architectural decisions that took hours to reach.
It delays you. It introduces errors. It's a job no one should have to do.
relay is a persistent layer owned by you, written to and read from by any AI tool. Your reasoning lives in one place, separate from the tools you think with. Not another walled garden. A layer below all of them.
Decisions, constraints, and rejected approaches, stored with full provenance, not raw transcripts.
Drop your full context into Claude, Cursor, ChatGPT, or Gemini in under a second.
If a tool raises prices or ships a worse model, you switch without starting over. It was never theirs.
At the end of any session, capture every decision, constraint, and rejected approach, with the reasoning behind each. No manual notes.
At session start, drop your full context into any tool, decisions, live constraints, indexed rejections. The tool is ready before your first prompt.
V1 ships what works today, keyword search, manual invocation, native MCP for compatible tools. The "it just knows" vision is the destination, not the launch claim. We show V1 and ship V1.
Local MCP server over stdio. 3 typed tools, SQLite + FTS5 search. relay setup wires Claude Desktop.
Localhost HTTP + Chrome extension. Captures ChatGPT, Gemini, Claude.ai right from the browser.
Remote MCP → ChatGPT + cross-device (v0.5). Cloud + Pro (v0.6). Intelligence layer (v0.7).
scope is the right size: a real tool for the user who feels the pain now, not a demo of a future that doesn't exist yet.
The pain is hitting mainstream consciousness, Yale SOM is publishing "Who Owns Your AI Memory?"; Indie Hackers and Hacker News threads are active. The number of AI tools per workflow is climbing every quarter, and every new tool widens the gap.
Memory tools today are developer APIs (Mem0, Cognee), not user-facing products. That gap is real now, but well-funded players have the integrations to move into it. We have 12–18 months to reach the users they can't learn from.
The wedge is the multi-tool power user, engineers, researchers, and builders who run four AI tools a day and feel context loss as a daily tax. The strongest signal: the founder is that user, doing relay's job by hand right now.
Before building, we validate. A stealth, researcher-curious landing page positioned as independent research, not a product pitch. It asks one question: "I see this pattern in my own AI workflow. Do you?"
From people who confirm they feel the pain, the first ranked list of real demand.
Frequency, tools used, and the biggest pain in their own words, qualified, not guessed.
Opt-ins for user research that shape what V1 actually ships.
distribution · founder-led on Twitter/X · Reddit · Ask HN · 1:1 outreach, every channel researcher-curious, never a pitch