Airweave: Open-source semantic search across all your apps for agents

Airweave unifies data from 25+ apps into a searchable knowledge base for AI agents, exposed via REST and MCP. It manages auth, extraction, embeddings, incremental updates, and versioning, with SDKs for Python and TypeScript. Deploy in the cloud or self-host with Docker, backed by a modern stack (FastAPI, PostgreSQL, Qdrant, React/TS).

Key Points

• Transforms multiple apps and data sources into a unified, semantically searchable knowledge base for agents, accessible via REST API or MCP.
• Offers both managed cloud and easy self-hosting with Docker; local dashboard on port 8080 and Swagger API docs on port 8001.
• Supports 25+ integrations and manages auth, extraction, embedding, incremental syncing (content hashing), and versioning end-to-end.
• Provides official Python and TypeScript SDKs for creating collections, syncing data, and performing searches.
• Built with React/TypeScript (frontend) and FastAPI (backend), uses PostgreSQL and Qdrant, is MIT licensed, and encourages community contributions.

Sentiment

The overall sentiment of the Hacker News discussion is positive and supportive. The single comment expresses admiration for the solution, and the founders' detailed launch post indicates a well-received and clearly articulated project.

In Agreement

• The core problem Airweave solves — enabling AI agents to effectively search and retrieve context from disparate, messy, and constantly changing company data — is a significant and real challenge.
• The ability to unify multiple data sources into a single, semantically searchable layer is a valuable and appreciated feature of the solution.