Home / Use cases / Multi-agent systems

AGENTS

Give many agents one knowledge layer.

Agent specialization should not require every agent to maintain a separate copy of reality.

The problem

Multi-agent systems easily create duplicated context, inconsistent memory and expensive synchronization.

What goes in the repository

  • Shared definitions
  • Policies
  • Domain context
  • Project knowledge
  • Decisions
  • Constraints
  • Shared references
knowledge/
├── index.md
├── shared/
├── engineering/
├── product/
├── operations/
└── research/

Why an open repository helps

One durable layer lets each agent read the part it needs without a private copy that will drift.

How Okide helps

Okide is the working environment for that shared layer: structure, review and history for knowledge many agents read.

Humans and agents, same files

Each agent can navigate the subset it needs while the organization maintains one durable knowledge layer.

OPEN BY DEFAULT

Keep the repository. Change the tools around it.

Specialized agents are useful. Specialized copies of the same facts are not. Okide helps you work with the repository without turning it into an Okide-only format.