AUTOMATION

Build Company Knowledge Graph for Agent Context

Synthesize scattered company information into structured knowledge graph for AI agents

Updated: 6/4/2026
Difficulty
hard
Time
2h
Use Case
Providing AI agents with comprehensive company context for better decision-making and task execution
Popularity
0 views

About this automation

Implement Hyper's company brain system to ingest information from Docs, Slack, Email, Calendar, and other sources, synthesizing it into a knowledge graph with facts, relationships, and provenance. Agents access this through MCP tools or lifecycle hooks.

How to implement

1

Connect data sources (Docs, Slack, Email, Calendar, Granola)

2

Configure knowledge graph ingestion and fact extraction

3

Set up hybrid memory system with episodes and facts

4

Define typed edges between facts (tension, derivation, supersession)

5

Configure access control and provenance tracking

6

Integrate with agent frameworks via MCP or lifecycle hooks

7

Test agent context retrieval and reasoning

8

Monitor fact graph updates and staleness handling