01
Team memory
One place for what your team knows. Notes, decisions and context live together, so every agent starts from the same page.
Team knowledge for AI agents
Your team's memory, wired into every agent.
Monolayer is the shared knowledge layer your AI agents read from and write to over MCP. Every member gets their own permissions. Every write carries a name.
Why Monolayer
Shared memory, with rules.
02
Per-member permissions
Each member sees only what they are allowed to see. Their agents inherit exactly that access, nothing more.
03
Attributed writes
When an agent writes, Monolayer records who asked and which agent did it. Every change has an author.
04
MCP-native
Any agent that speaks MCP can connect. No custom integrations, no per-tool glue code.
How it works
Three steps to a shared brain.
- 01
Connect your agents
Point your team's agents at Monolayer over MCP. They get a shared memory the moment they connect.
- 02
Read and write
Agents look things up and save what they learn. Each write is stamped with the member and the agent behind it.
- 03
Stay in control
Permissions follow each member into every agent. Review who wrote what, and change access whenever you need to.
Give your agents a memory worth sharing.
Set up your team's knowledge layer and connect your first agent.
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