Airweave is an open-source context retrieval layer that gives AI agents unified search across all your apps, databases, and documents. Instead of wiring each data source separately, Airweave connects directly to all of your existing tools and exposes their data through a single search interface.
Airweave continuously syncs information from connected sources and makes it available as a unified, searchable retrieval layer. This allows AI agents to retrieve current, source-grounded context at query time, rather than relying on static embeddings or custom data pipelines that quickly fall out of date.
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Developers and teams building AI agents and other AI-powered applications that need reliable access to information across multiple tools and data sources.
If you’re working on long-running AI agents, retrieval-augmented generation, or any context-heavy LLM application, Airweave provides the infrastructure to retrieve and manage context without maintaining bespoke integrations for every data source.
Airweave lets AI agents search across company knowledge bases, cloud drives, databases, and SaaS tools in a single query.
Common use cases include:
Pull information from tools like Notion, Google Drive, and Slack
Access context from tickets, docs, and CRM systems
Retrieve and combine relevant context from structured and unstructured sources at query time.
In all cases, Airweave helps agents retrieve facts from the right source instead of guessing or relying on incomplete context.