01
Build context for an agent
Load only the records needed for the current task and carry the result through the run.
Data & Databases connector
Plan governed AI workflows around Supabase.
Use operational data as workflow context and persist validated results with clear boundaries. Explore example AgentRuntime patterns for Supabase, then confirm connector availability and supported actions before production use.
Catalogued connectorSupabase
Where it fits
Use operational data as workflow context and persist validated results with clear boundaries.
Read and write data through explicit steps while AgentRuntime controls schemas, retries, state, and downstream decisions.
Example execution path● Planned
01
SupabaseProvide a trigger, context, or destination.
02
AgentRuntimeCarry durable state through the complete run.
03
Agents + rulesReason, validate, branch, and select actions.
04
People + systemsApprove, intervene, and complete the process.
Example architecture only. Exact triggers, actions, scopes, and deployment requirements depend on the connector configuration.
Example patterns
Start with a workflow outcome, not an isolated tool call.
These are representative patterns for the Data & Databasescategory. They are not claims about currently enabled Supabase actions.
02
Persist structured outcomes
Validate model and tool output before writing approved fields or records.
03
Reconcile systems
Compare sources, identify mismatches, and route corrections through controlled actions.
Production readiness
Confirm the boundary before the workflow acts.
Catalog coverage changes. Validate the actual connector build, authentication method, supported operations, and environment requirements with the AgentRuntime team.
- 01Use least-privilege credentials and scoped queries
- 02Validate schemas before reads and writes
- 03Design idempotency, transaction, and retry behavior
Define the Supabase workflow boundary.
Bring the trigger, actions, access constraints, and human decision points. We will map the governed execution path.