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airweave

Open-source context retrieval layer for AI agents

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Pythonsearch-apisdkretrieval-augmented-generationopen-sourceintegrationllmaiinformation-retrievalretrievalragsearchai-agentsdata-connectorssemantic-searchdeveloper-toolsai-infrastructureapimcp-serveragent-infrastructureenterprise-datacontext-retrieval

Airweave is an open-source context retrieval layer for AI agents, packaged as an MCP server. It provides data connectors, semantic search, and an SDK/API for retrieval-augmented access to enterprise data.

Use it when your agents need a unified retrieval layer with connectors and semantic search over external data sources.

Use it to

  • Serve context to agents via MCP
  • Connect enterprise data sources for retrieval
  • Build RAG pipelines with its SDK and API
  • Add semantic search over indexed data

For Developers building AI agents that need external context

Role
mcp-server
Language
Python
Licence
MIT
Forks
819
Open issues
30
Last push
2026-06-05
Latest release
v0.1.0 · 2025-01-27
topicsretrievalragmcp-serversemantic-searchdata-connectorsagent-infrastructure