GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Airweave is an open-source context retrieval layer for AI agents, emphasizing integration and data connectors for retrieval-augmented generation.
Good fit when
- When you need a retrieval-augmented generation layer that integrates seamlessly with various data sources and connectors.
- If your project requires an open-source solution for context retrieval that supports enterprise data and semantic search.
Avoid when
- If your project does not require integration with multiple data sources or connectors, as Airweave's strength lies in its extensive integration capabilities.
- When you are looking for a tool that focuses solely on the development of AI agents without the retrieval-augmented generation aspect.
- Requirements:
- Requires Python for development and deployment.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Archived (104d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install airweave PyPIHow it fits your stack(4)
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Evidence and technical details
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Overview
Airweave is an open-source project providing a context retrieval layer for AI agents, focusing on integration, data connectors, and retrieval-augmented generation.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Tags
README
License MIT License <p align="center" <a href="https://discord.gg/gDuebsWGkn" Discord</a · <a href="https://github.com/airweave ai/airweave/issues" Issues</a · <a href="https://x.com/airweave ai" Twitter</a </p
For agents
This page has a .md twin and JSON over the API.