Memory after tool calls: what should be saved
30 Jun 2026 · 7 min read
Tool outputs can become memory, audit evidence, or temporary context. The system needs to choose deliberately.
Not every tool result should become durable memory. The runner should classify output before the memory layer stores it.
AstraRunner treats this as an execution-platform concern: the run needs durable state, traceable decisions, cost visibility, and enough structure for teams to review what happened after the agent finishes.
Patterns that work
- Save stable facts and accepted decisions.
- Keep transient API responses in run context.
- Redact secrets and personal data.
- Link saved facts back to tool evidence.
Implementation checklist
- Classify tool output after execution.
- Apply retention policy.
- Attach source and timestamp.
- Evaluate whether saved memory helped future runs.
Watch outs
- Blindly saving tool output pollutes memory.
- Temporary data can become stale quickly.
- Compliance deletion must reach memories derived from tools.
Related reading
How this fits the Astra stack
AstraRunner owns the operational path for agent work: orchestration, scheduling, approval gates, traces, costs, and role-agent handoffs. AstraMemory owns durable context and retrieval. AstraGenie turns those capabilities into product workflows for teams that want automation without rebuilding the platform layer.