airweaveContext retrieval layer for AI agents across users' applications. Search and retrieve context from Airweave collections. Airweave indexes and syncs data from user applications to enable optimal context retrieval by AI agents. Supports semantic, keyword, and agentic search. Use when users ask about their data in connected apps (Slack, GitHub, Notion, Jira, Confluence, Google Drive, Salesforce, Linear, SharePoint, Stripe, etc.), need to find documents or information from their workspace, want answers based on their company data, or need you to check app data for context to complete a task.
Install via ClawdBot CLI:
clawdbot install lennertjansen/airweaveRequires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.airweave.aiAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A customer asks about a refund policy. The agent uses Airweave to search internal documents and past Slack conversations to provide an accurate, up-to-date answer based on company data, ensuring compliance and consistency.
A team member requests the latest updates on a product launch. The agent searches across Jira tickets, Notion pages, and recent Slack discussions to synthesize a comprehensive status report, highlighting key milestones and blockers.
A sales manager asks for recent customer feedback on pricing. The agent retrieves data from Salesforce records, Google Drive documents, and Stripe transaction notes to analyze trends and inform sales strategies.
An employee needs to find specific policy documents, such as onboarding procedures. The agent searches Confluence and SharePoint to locate and summarize relevant documents, ensuring quick access to critical information.
A developer reports a bug and asks for related issues. The agent searches GitHub repositories and Linear tickets to identify similar past incidents and provide context for faster debugging and resolution.
Offer Airweave as a cloud-based service with tiered pricing based on data volume, number of collections, and search frequency. Revenue comes from monthly or annual subscriptions, targeting small to large enterprises.
Provide on-premise or private cloud deployments with custom integrations and dedicated support. Revenue is generated through one-time license fees and ongoing maintenance contracts, ideal for organizations with strict data governance.
Charge based on the number of API calls, search queries, or data processed. This pay-as-you-go model attracts startups and developers, with revenue scaling directly with usage and offering flexibility for varying needs.
💬 Integration Tip
Ensure the AIRWEAVE_API_KEY and AIRWEAVE_COLLECTION_ID environment variables are securely configured before deployment, and test search scripts with varied queries to optimize retrieval accuracy.
Scored Apr 19, 2026
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