Supercharge OpenClaw

This example shows where to add explicit field selection, filtering, and aggregation before sending configured output to an assistant. Review and test the mapping against your data classification and privacy requirements.

This example adds structured activity records around configured requests and outputs. Treat those records as one input to your organization's security and compliance review, not as certification evidence.

OpenClaw is reactive: you have to ask it things. The Watcher flips this: Expanso continuously monitors PagerDuty, GitHub, email, and Slack. When something important happens, it enriches the alert with context and pushes it to OpenClaw. Your AI tells YOU when something needs attention.

Staying informed means checking HN, Twitter, Reddit, and news daily. The Feed aggregates all sources continuously, scores by relevance, deduplicates, and delivers a daily digest. Critical mentions (your company, competitors) trigger immediate alerts. Stop hunting for information, let it come to you.

A multi-system workflow can require calls across billing, identity, messaging, and CRM systems. OpenClaw can request the workflow while Expanso runs its configured steps, retry policy, failure handling, and activity records.

"What did we decide about pricing?" OpenClaw doesn't know: it starts fresh each session. The Context Warehouse continuously ingests Slack, email, Notion, and meetings into a local vector database. Now OpenClaw can search YOUR context semantically. Ask about past decisions, find who knows what, remember your own debugging sessions.

A preprocessing pipeline can extract text, select relevant sections, and summarize before a configured model request. This may reduce downstream token volume and latency; results depend on the documents, model, and pipeline configuration.

This pattern places an Expanso node on a customer-controlled network and uses a configured encrypted output. Review the query, mapping, authentication, and output rules before using it with internal systems.