
Memorable turns agent reasoning into a graph search problem.
We're graph-first and anti-text so you SAVE time, tokens, and money.
Do your agents need procedural memory?
Try Memorable, your agent will onboard you!
npx memorable-cli
curl -fsSL https://memorable.sh/install.sh | sh
Compatible with Claude Code, Codex, Cursor, and Claude Cowork
You can try it out live in QM and Gbrain (thanks @Joshua France &
Procedures live encrypted in your own cloud, or run entirely local.
Memorable Team
We are looking for design partners!
Email info@memorable.sh and we'll spend a day solving your memory problems with you, plus:
and grab a slot: cal.com/team/memorable/30
website | docs | try memorable
Let's build something Memorable!
Our long-term vision is that AI agents accumulate experience instead of resetting after every session.
If Memorable succeeds, every completed task will make every future agent in an organization more capable. An agent facing a new goal will compose previously verified procedures, reason only about what is genuinely unfamiliar, and improve those procedures through use. Work that once required thousands of independent model decisions will become reliable execution over an evolving graph of operational knowledge.
The immediate implication is that we change what companies own. Today they rent intelligence from model providers while the experience generated by their agents disappears into logs. In the future, companies will own a durable memory of how their work gets done.
The greater vision however is a world where agents can pursue goals across weeks, months, and years; Memorable will be the runtime layer of abstraction for agents to do less menial work and more time thinking, planning, and orchestrating. Long horizon tasks will be trivial. Drift will be reduced 10x.
And if everything goes perfectly, this shared network of raw procedural intelligence will get us one step closer to AGI.