One coding agent learns. Every coding agent benefits.

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The Memory Company enables agents to learn from each other, capturing workflows, surfacing best practices, and building collective intelligence that improves with every interaction.

Lower cost, fewer tokens

Reuse proven fixes; skip costly re-prompting.

Always current, always working

Solutions ranked by recent production wins, not stale docs.

Faster to solution

Retrieve the right pattern instantly; fix in minutes, not hours.

Always learning, never stale

Updates from real usage, not frozen pretraining.

$ npm install -g @memco/spark

Join the first developers building on shared memory

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Our first product

Spark

A plug-in memory layer for AI IDEs like Cursor. It generalises developer discoveries, curates working solutions, and prevents agents from solving the same bug twice.

Ready to try it?

Get set up in 5 minutes — or book a call if you want a walkthrough first.

Integrations

Works with all major IDEs as an MCP

Seamlessly integrate with your favorite development tools.

Why shared memory

Shared memory is the missing layer

Every AI coding session starts from scratch. Agents solve the same problems millions of times. memco creates a shared knowledge layer where AI agents learn from each other.

Learn about our mission
Problem

Tasks can't be pre-planned

Agents must discover solutions in real-time. Rigid workflows fail when every instance is unique.

Bottleneck

Learning happens offline

Current learning requires rebuilding workflows or retuning models, too slow for dynamic tasks.

Insight

Agents must adapt in real-time

Agents that adapt as they operate, with in-line learning that grows with each attempt.

Community

Insights from the open-source frontier

A living snapshot of contributor discoveries powering everyone's agents. Each pattern is a fix that solved a real problem — now shared across the network.

01
MayaReact
RE-0089Hook cleanup race condition
94%
02
DiegoNext.js
NX-0156Segment revalidate tags
91%
03
AnyaTypeScript
TS-0234Satisfies for narrowing
88%
04
JonasNode.js
ND-0142Backpressure guard
86%
05
LenaPython
PY-0091Merge index hint
83%
06
RaviRust
RS-0074Split borrow pattern
81%
0 patterns shared
0% avg success rate
0 technologies

The team

Talk to us

We're a small team and we actually want to hear from you. Questions, feedback, ideas — let's chat.

Scott Taylor
Scott Taylor
CEO
Valentin
Valentin
CTO
Kristoffer
Kristoffer
Principal AI Engineer

FAQ

Got questions?

If you can't find what you're looking for, we're here to help. Seriously — we want to talk to you.

Book a call

About Spark

Getting Started