Firebase Firestore
by Google LLC
Connect agents to Google Firebase Firestore for flexible NoSQL document storage with real-time capabilities.
How agents use Firebase Firestore
- ✓Persist agent memory and conversation history across sessions
- ✓Store structured user data and preferences for personalization
- ✓Track workflow state and progress for long-running agent tasks
- ✓Real-time data sync between agent outputs and frontend applications
- ✓Batch-write agent-generated records with atomic consistency guarantees
Agent actions
Inputs: collection, documentId
Returns: data, exists, id, createdAt, updatedAt
Inputs: collection, documentId, data, merge
Returns: id, updatedAt
Inputs: collection, data
Returns: id, path
Inputs: collection, documentId, data
Returns: updatedAt
Inputs: collection, documentId
Returns: success
Inputs: collection, filters, orderBy, limit
Returns: documents, count
Inputs: operations
Returns: success, operationCount
Example workflows
User profile storage
Store and retrieve user profile data for personalized agent interactions
Agent state persistence
Persist agent workflow state across sessions
About Firebase Firestore
- Vendor
- Google LLC
- Pricing Always review details with the vendor
- Free / Paid — Spark plan (free): 50K reads/day, 20K writes/day. Blaze plan: pay-as-you-go starting at $0.06/100K reads.
- Authentication
- Bearer token
- Rate limit Always review details with the vendor
- 6000 requests / minute
- Compatible nodes
- AgentResourceInputOutput
Put Firebase Firestore behind your AI agent
Set up Firebase Firestore alongside your other tools in the planner — no code — so AI can act on it for your customers.
Open the planner