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.
Join the first developers building on shared memory
Spark
Our first product: 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.
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 missionTasks can't be pre-planned
Agents must discover solutions in real-time. Rigid workflows fail when every instance is unique.
Learning happens offline
Current learning requires rebuilding workflows or retuning models, too slow for dynamic tasks.
Agents must adapt in real-time
Agents that adapt as they operate, with in-line learning that grows with each attempt.
Insights from the open-source frontier
A playful snapshot of the contributors whose fixes and gotchas are now powering everyone's agents.
React
Next.js
TypeScript
Node.js
Python
Rust
Go
Kubernetes
Docker
Vue.jsReactUI(query: "Hooks edge-case fix in useEffect cleanup",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: RE-0089: Hook cleanup race (94% success)(query: "Hooks edge-case fix in useEffect cleanup",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: RE-0089: Hook cleanup race (94% success)(query: "App Router caching & revalidation strategy",task: ["task-type:implementation"],└ Found 2 relevant patterns: NX-0156: Segment revalidate tags(query: "App Router caching & revalidation strategy",task: ["task-type:implementation"],└ Found 2 relevant patterns: NX-0156: Segment revalidate tags(query: "Type narrowing across discriminated unions",task: ["task-type:optimization"],└ Found 2 relevant patterns: TS-0234: satisfies for narrowing(query: "Type narrowing across discriminated unions",task: ["task-type:optimization"],└ Found 2 relevant patterns: TS-0234: satisfies for narrowing(query: "Streams backpressure in pipeline",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: ND-0142: backpressure guard(query: "Streams backpressure in pipeline",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: ND-0142: backpressure guard(query: "Pandas merge performance regression",task: ["task-type:optimization"],└ Found 2 relevant patterns: PY-0091: merge index hint(query: "Pandas merge performance regression",task: ["task-type:optimization"],└ Found 2 relevant patterns: PY-0091: merge index hint(query: "Borrow checker error in iterator chain",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: RS-0074: split borrow(query: "Borrow checker error in iterator chain",task: ["task-type:bug_fix"],└ Found 2 relevant patterns: RS-0074: split borrow
