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airweave-ai

airweave

Open-source context retrieval layer for AI agents.

AI EngineeringGive agent knowledgePython
Open on GitHub
Momentum
+1stars in 24 hours+0.0%
6.56k
Stars
821
Forks
+-3
This week
37
Contributors
Created 2024-12-24 · Updated 2026-10-15 · #4526 today
Top developers
orhanraufmarc-rutzoufelixschmetz

airweave-ai/airweave is ranked 4,526 with 6,558 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryAI Engineering
SubcategoryGive agent knowledge
Stars6,558
Forks821
Contributors37
Created date2024-12-24
Updated date2026-10-15
Stars in 1 day1
Stars in 7 days-3
Rank4,526
Previous rank18,242
Rank change13,716
7-day stars rank18,543
Previous 7-day stars rank18,640
7-day stars rank change97
Total stars rank2,170
Previous total stars rank2,167
Total stars rank change-3
CountryUSA
README summary

Open-source context retrieval layer for AI agents and RAG systems. Airweave connects to your apps, tools, and databases, continuously syncs their data, and exposes it through a unified, LLM-friendly search interface. AI agents query Airweave to retrieve relevant, grounded, up-to-date context from multiple sources in a single request. Where it fits Airweave sits between your data sources and AI systems as shared retrieval infrastructure. It handles authentication, ingestion, syncing, indexing, and retrieval so you don't have

to rebuild fragile pipelines for every agent or integration. **Connect** your apps, databases, and documents (50+ integrations) 2. **Airweave** syncs, indexes, and exposes your data through a unified retrieval layer 3. **Agents query** Airweave via our SDKs, REST API, MCP, or native integrations with popular agent frameworks 4. **Agents retrieve** relevant, grounded context on demand Quickstart Cloud-hosted: app. Tech Stack **Frontend**: React/TypeScript with ShadCN **Backend**: FastAPI (Python) **Databases**: PostgreSQL (metadata), Vespa (vectors) **Workers**: Temporal (orchestration), Redis (pub/sub

) **Deployment**: Docker Compose (dev), Kubernetes (prod) Contributing We welcome contributions! License MIT License Discord · Issues · Twitter

Frequently asked questions

How many stars and forks are recorded?

airweave-ai/airweave has 6,558 stars and 821 forks.

What is the repository rank?

airweave-ai/airweave is ranked 4,526.

What language and category are recorded?

airweave-ai/airweave has 6,558 stars, uses Python and belongs to AI Engineering.

Which repository is closest in rank?

airweave-ai/airweave is compared with julep-ai/julep, ranked 4,525 with 6,576 stars.

README

Open-source context retrieval layer for AI agents and RAG systems.

What is Airweave?

Airweave connects to your apps, tools, and databases, continuously syncs their data, and exposes it through a unified, LLM-friendly search interface. AI agents query Airweave to retrieve relevant, grounded, up-to-date context from multiple sources in a single request.

Where it fits

Airweave sits between your data sources and AI systems as shared retrieval infrastructure. It handles authentication, ingestion, syncing, indexing, and retrieval so you don't have to rebuild fragile pipelines for every agent or integration.

How it works

  1. Connect your apps, databases, and documents (50+ integrations)
  2. Airweave syncs, indexes, and exposes your data through a unified retrieval layer
  3. Agents query Airweave via our SDKs, REST API, MCP, or native integrations with popular agent frameworks
  4. Agents retrieve relevant, grounded context on demand

Quickstart

Cloud-hosted: app.airweave.ai

Self-hosted

git clone https://github.com/airweave-ai/airweave.git
cd airweave
./start.sh

→ http://localhost:8080

Requires Docker and docker-compose

Supported Integrations

SDKs

pip install airweave-sdk        # Python
npm install @airweave/sdk       # TypeScript

from airweave import AirweaveSDK

client = AirweaveSDK(api_key="YOUR_API_KEY")
results = client.collections.search.instant(
    readable_id="my-collection",
    query="Find recent failed payments"
)

CLI

Search collections, manage sources, and trigger syncs from your terminal:

pip install airweave-cli

airweave auth login
airweave search "quarterly revenue figures" --collection finance-data

The CLI outputs rich interactive results in your terminal and clean JSON when piped — making it work for both developers and AI agents.

Tech Stack

Contributing

We welcome contributions! See our Contributing Guide.

License

MIT License

Discord · Issues · Twitter

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