Spark is the shared memory layer for your agents - what your team, tools, and agents discover once is never rediscovered. Pick the path that fits your team.
Startups & scaleups
Sign up, install, and you are running in two minutes. No credit card, no demo.
Large & regulated teams
A white-glove rollout into your existing AI stack, with the security and governance large teams require.
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.
