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ModusBrain is a knowledge layer for AI work. It helps you move from raw files and conversations to context that people and agents can actually use. The goal is simple: keep the important information easy to find, easy to understand, and connected to the source that supports it.

At a glance

1. Add knowledge

Bring in documents, notes, repositories, meetings, and connected sources.

2. Build context

Index content, extract useful links and facts, and keep related pages connected.

3. Help agents act

Let compatible agents search the brain and follow the guidance you approve.

The knowledge loop

1

Collect source material

Start with the information your team already uses: Markdown files, repository documentation, meeting notes, and imported records. A brain can contain more than one source, so different workspaces can stay separate while still being searchable when appropriate.
2

Make it searchable and connected

ModusBrain stores pages, chunks content for search, and can extract links, entities, timelines, and facts. This gives a question more than keyword matches: it gives it the surrounding context.
3

Retrieve the right context

When a person or agent asks a question, ModusBrain combines keyword, vector, and graph-aware retrieval. Results stay scoped to the correct brain and source.
4

Use approved operational guidance

For repeatable or sensitive work, compile an operational skill from the knowledge in the brain. Skills can be reviewed, approved, confidence-gated, and audited.
5

Keep the brain current

Sync new source changes, enrich pages, and run maintenance when needed. The result is a brain that improves as your knowledge changes.

Choose your path

Use it locally

Set up a local PGLite brain with the CLI.

Connect an agent

Serve your brain through MCP for coding agents and other clients.

Run it for a team

Use Postgres, scoped sources, and access controls for shared company knowledge.

Explore the architecture

Learn about brains, sources, storage engines, and deployment shapes.