Launch email
Tuesday launch draft
Persistent memory for AI agents. Keep the context, recall what matters, and carry the work forward.
npm install -g @cortexmemory/cliBigger context windows, bolted-on RAG, prompt-stuffing, disconnected stores — every patch fights the symptom. Cortex makes memory the architecture: four memory layers composed by one recall(), and the capabilities built on top. Click a slice to explore.
Append-only conversation threads on your own Convex, plus shared immutable and mutable stores. Replay, audit, and export anything — recall never depends on context size.
An emergent result of composing these layers through recall() — not a primitive you configure.
A session ends. Context disappears.
Preferences: Keep it brief.
Decisions: We chose Python.
Corrections: Tuesday. Not Monday.
Keep the context. Bring back the pieces that fit the question.
Context, coming in.
Store broadly.
All example memories stay stored.
Relevant, coming back.
How should I write the update?
Recall selectively.
Illustrative example. Change the question, keep the whole archive.
THE HIVE / SHARED MEMORY
Change a detail once. Every agent sharing that memory stays in sync.
Let’s launch Tuesday.Monday is out.
Heard in meeting: Tuesday
SHARED MEMORY
Launch day
Tuesday
Tuesday launch draft
Tuesday slot confirmed
TUE 09:00
“Plans change. The crew keeps up.”
One change. The whole crew gets it.Illustrative example
A listening agent stores a human’s new launch date in shared memory. The other agents update their launch email, release checklist and schedule together. Click this section or use the change date button to move the launch forward one day. Reduced motion shows the updated work immediately.
The Cortex Manifesto
A little machinery.
A lot of possibility.
The details that make
the next conversation better.
A Convex deployment
you choose and operate.
Decide what to keep.
Choose what comes back.
An imagined memory engine.
Build the real thing your way.
Give your agents a memory that outlasts the conversation. Use your own Convex deployment, including self-hosted infrastructure, and choose how your application stores and recalls context.
Source available under FSL-1.1-Apache-2.0. Read the license for permitted uses and its future Apache-2.0 grant.