The operating layer for your AI agents

Your agents are already capable.Make them stop starting from zero.

An operating layer between your agents and your repo.

Cardumen connects Claude Code, Codex, Cursor, OpenCode, Copilot and local models to your repository's memory, rules and real verification. It does not replace your tools. It gives them shared context and compounding learning.

7 days free · cancel whenever you want

N+1every session leaves memory-43%tokens in a measured task5 agentsone operating truth
One memory. Three ways to use it.

One memory for every way you build.

Cardumen connects your projects, teams and clients around the context you already have.

ICP 01 · individual developer

All your projects, sharing the same context.

Connect your stack so every session starts further ahead.

time machine / developer01/03
auto · 12s

Slide 1 of 3: performance.

Connect your projects. Reuse what already works.

Bring the login, dashboard and analytics from your other projects into this one.

Three source projects send capabilities to the current project through Cardumen's shared memory.
Projects connected in real time
P01Project 01login · authupdated
P02Project 02dashboard · UIupdated
P03Project 03analytics · dataupdated
NOWThis projectreceives capabilities from the stackreal-time context
applylogin+dashboard+analyticsto this project

The graph takes the agent straight to what matters.

Every task updates the map and reduces repeated reading.

task / 018graph updatedrepo mesh · live
without a graphexplores againevery session rebuilds the map
with Cardumengoes straight thereevery task makes the map more useful
relevant context loadedless repeated readingverify → update graph

Stop spending the session reading the same context.

Without Cardumen, context is rebuilt. With Cardumen, your tokens reach useful work.

session budget5 h limited window
without Cardumenread · repeat · consume
context usednearly depleted
with Cardumenmap · focus · execute
synthesized contextuseful work
ICP 02 · product company

Knowledge stays when the team changes.

The same context for product, engineering and operations.

time machine / teams01/03
auto · 12s

Slide 1 of 3: context.

01shared context

One team. One context.

Decisions and constraints remain available for the next task.

02standards that travel

Standards repeat without chasing them.

Harness and scaffolding turn the way you work into a repeatable path.

03team continuity

Every task starts with the right history.

The graph points to dependencies and the next step.

ICP 03 · software factory

Your patterns reach the next client.

Keep what you learn and use it in the next delivery.

time machine / factory01/03
auto · 12s

Slide 1 of 3: patterns.

01reusable patterns

Each client keeps its own context.

Your factory keeps the method and reuses it with control.

02operational visibility

See your entire operation from one place.

See token usage by project and developer, and calculate costs directly.

03costs + capacity

43% fewer tokens for the same task.

That margin lowers the cost per task, extends each subscription and helps fewer developers hit the 5-hour limit.

Compatible with your current stack
  • Claude Codehooks + memory
  • Codexhooks + memory
  • OpenCodeplugin + memory
  • Cursorhooks + memory
  • GitHub Copilotshared context
One shared memory

Make your agents perform better.Fewer tokens. Fewer errors. More work completed.

Cardumen does not replace your tools. It connects them to the same operating context.

Start for free