Case Study

SAIBA Brain: Company memory for teams and agents

SAIBA

Agent work gets weak when every new tool starts without memory. Conversations, meetings, customer context, and decisions disappear into chat history.

SAIBA Brain organizes that knowledge into a system both humans and agents can use.

SAIBA Brain memory layer

The challenge

Context lived across Slack, notes, meetings, and repositories. That made the next agent session slower and increased the risk of repeating decisions or misunderstanding customer context.

The solution

The brain layer uses markdown as source, structures knowledge into people, companies, deals, meetings, projects, and concepts, and makes it searchable with citation-friendly context.

What changed

The team can work more continuously. Agents get better starting context, and website, CRM, and playbook work can draw from the same documented knowledge.

Technologies

Technology Usage
gbrain Memory engine and search
Markdown Readable source of truth
GitHub Version history and collaboration

Services delivered by SAIBA

  • Knowledge architecture
  • Agent memory setup
  • Playbook structure
  • Search and citation flow

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