Spark - shared memory for coding agents
Every session, your agents rebuild the same context - files, docs, the same senior explanation - and it expires when the window closes. What they learn from real work should be an asset you keep, curate, and compound - whether you're one engineer or a thousand.
Sign up or log inFree to startNo credit cardRunning in two minutes
Rented · context
renews every sessionExpires when the session ends. You pay rent again tomorrow - in tokens and senior time.
Owned · memory
accumulatesYours to review, edit, and retire. It survives tool changes, vendor changes, and re-orgs.
Cheaper runs - 40% at steady stateFewer repeated failuresLess senior re-teachingMemory that outlives the tool
You
Free forever · public networkYour team
Private memory · $599 per contributor / yearYour enterprise
Governed · VPC, residency, pathfinderThe same owned memory, at every scale.
Memco remembers the fixes, dead ends, and decisions behind successful agent work, so the next agent gets the shortcut your team already paid to discover.
Enterprise memory, without giving up control.
A new run has to rediscover repo quirks, failed paths, and human corrections. The agent may look smart, but the company gets no smarter.
Fixes, corrections, failed paths, and repo conventions become scoped, reusable lessons. Work your team already paid for starts helping future agents.
When a similar task shows up, the agent gets the prior fix, warning, or decision before it burns tokens rediscovering it. Waste goes down as trusted memory gets richer.
Teams decide what becomes memory, who can reuse it, and where it can run, with deployment options that fit regulated environments.
Shared memory cuts token usage by ~50% and eliminates wasted reruns. Plug in your numbers.
Model portability
Every successful agent run leaves behind a trace — a fix, a dead end, a decision. Memco turns those traces into an organizational asset that compounds over time. The model underneath is interchangeable; switching is a swap, not a migration.
