Memories
Preferences, facts, decisions and the people around you. One fact per memory, with source and date. Superseded instead of overwritten, so history stays.
Context Layer is a personal memory that Claude, ChatGPT, Cursor, Claude Code and any other MCP-capable agent can read and write. Switch tools without re-explaining yourself: what one agent learned, the next one knows. Your context stays yours, not the vendor's.
It's open source. Run the hosted version (invite-only beta, join the waitlist) or deploy your own copy on your Cloudflare account in a few minutes. Same code, same features, either way the data is yours.
Connect an agent in one step by sharing the setup guide with it. It connects over MCP with OAuth, installs a short set of custom instructions and knows when to read and when to save. From then on every session starts with get_context and search, and ends with what's worth remembering.
We run it on Cloudflare. Accounts are isolated, every write is logged, and you can export or delete everything at any time. Invite-only while the beta is small.
Join the waitlistClone the repository, create the Cloudflare resources listed in the README and deploy. Your account, your Worker, your data.
git clone https://github.com/kuehlpaul/personal-context-layer.git cd personal-context-layer && npm install npx wrangler deployView on GitHub
Preferences, facts, decisions and the people around you. One fact per memory, with source and date. Superseded instead of overwritten, so history stays.
Plans, specs, research and meeting notes in Markdown. Every edit is versioned with which agent wrote it, and older versions stay readable.
When you correct an agent, the correction becomes guidance every other agent receives the moment it connects. Mistakes are made once.
Reusable, SKILL.md-style instructions. Any agent lists them, loads the one that applies to the task and follows it.
Semantic search over everything you've stored, plus keyword fallback. Agents call it before working on anything personal.
Tell it what must never be stored. Forgotten content is blocked from being re-saved. Every write by every agent is logged and editable.