Context & Memory Overview
Every time you send a message in Grepp, the agent automatically builds a complete picture of your current situation before responding. You don't need to repeat yourself or re-explain your data — Grepp handles this context behind the scenes.
What's included in your context
Each conversation turn gives the agent access to:
- Your conversation history — everything discussed so far in the session, so you can ask follow-up questions naturally
- Your database schema — the tables, columns, and types from any connected databases, so the agent can write accurate queries without you describing your data model
- Your dashboard state — the charts and components currently on your dashboard, so the agent knows what already exists and can reference or update them
- Your installed integrations — which data sources are connected and available to query
- Work done this session — any charts or dashboards created or modified during the conversation, so the agent can reference them by name or ID without re-querying
Why this matters
Because the agent always has this full picture, you can work naturally:
- Ask "make that chart a bar chart instead" without specifying which chart
- Say "add a revenue column to that query" without re-explaining the query
- Request "save this to my dashboard" without describing what was just created
Grepp prioritizes recent and relevant information automatically. Long conversations and large schemas are handled gracefully — the agent is designed to ask for clarification if it needs more specific detail.
See also:
- Conversation History — how chat history is preserved across turns
- Schema Awareness — how Grepp understands your database structure
- Multi-Turn Context — how the agent handles follow-up questions and refinements
- Recall — how the agent remembers previous conversations and past work