Context overview
One view of everything your team's AI works from. See which areas are well covered, what is connected, what is read and updated and how often, and what has gone quiet.
Built for AI-first teams using 
and 
.
Build your AI setup once.
Share it across your team and tools.
One workspace for the context, skills and terms your AI works from. Invite a teammate or try a new AI tool, and it already knows your language and your business.
Free during the beta. You can also for self-hosting, or book a call for an assisted roll-out.
Building shared context
I built Midland after months of trying out different memory systems.
Each one worked at the start, then drifted over time and needed more and more maintenance. I could not roll any of them out to clients or coworkers.
Midland is a shared surface that helps you structure, maintain and share context between all your AI sessions.
It is for smaller companies without data teams that would rather spend their time and tokens on agents for their own business than on the plumbing under them, which I keep improving so they don't have to.
Connect any AI tool
Add the connector and Claude, ChatGPT, Codex or Cursor work from the same skills, terms and files. Manage it all from the chat.
Made for collaboration
Invite a teammate and they connect one MCP server. No skill files to sync, no documents to load.
Save from any session
Say “save this” and the decision, note or report is filed where it belongs. The next session, tool or teammate finds it there.
Shared terms
Define a word once. Every person and agent uses the same meaning in every answer.
Owners
Every item names the person who keeps it right, so there is one person to ask and one who can fix it.
Read and write access
Limit any item to specific people and agents. Everyone else stays out.
Version history
Every change is a new version. Easy to revert. Every person and agent works from the latest version.
Freshness
Each item says when it was written and how often it should change, so an agent flags an overdue answer instead of repeating it.
Updates itself
Automated writers for what arrives on a schedule: merged pull requests, meeting notes, a weekly number. Each has its own key and writes only where you allow.
Categories and links
Items sit in categories and link to related ones, so an agent that opens one thing sees what belongs with it.
LoopsComing soon
Scheduled checks that ask control questions, flag duplicates and archive what is outdated.
+
Log sessions
The skill Session wrap-up writes a file to the collection Session log.
Build capabilities
Connect a skill to the files, collections and terms it should work from, and it becomes something anyone on the team can run from any tool without re-explaining or having the agent guess the gaps.
Self-hosted
Run Midland on your own infrastructure. The code will be open source. Leave your email for early access.