Stop rebuilding data pipelines for every new AI agent

What it does

Airweave connects to more than 50 workplace apps—Notion, Salesforce, GitHub, Stripe, and the rest—then continuously syncs and indexes their content. It exposes everything through a unified search interface that AI agents and RAG systems can query via SDK, REST API, or MCP. The idea is to give agents grounded, up-to-date context from multiple sources in one request without you writing ingestion boilerplate.

The interesting bit

Rather than treating retrieval as a per-agent afterthought, Airweave acts as shared infrastructure between your data sources and AI systems. It centralizes authentication, syncing, and vector indexing so your agents simply ask questions and get answers. The CLI also detects whether it is talking to a human or a script, serving rich terminal output or clean JSON accordingly.

Key highlights

• 50+ native integrations spanning docs, CRM, support tickets, code repos, and calendars
• Dual storage backend: PostgreSQL for metadata, Vespa for vector search
• Sync orchestration via Temporal, with Redis handling pub/sub
• Python and TypeScript SDKs, plus a pipe-aware CLI
• Available as a managed cloud service or self-hosted deployment

Verdict

Teams running multiple AI agents across scattered SaaS data should look here. If you only need to search one database you already control, it is likely overkill.