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airweave-ai

airweave

Open-source context retrieval layer for AI agents

AI EngineeringGive agent knowledgePython
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创建于 2024-12-24 · 更新于 2026-10-15 · 今日第 4526 名
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orhanraufmarc-rutzoufelixschmetz

airweave-ai/airweave 排名第 4,526，有 6,558 个星标。

同类别比较

airweave-ai/airweave 排名第 4,526，此处有 8 个同类条目；julep-ai/julep 排名第 4,525。

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关键参数与规格
关键参数与规格
参数值
语言Python
类别AI Engineering
子类别Give agent knowledge
星标数6,558
分叉数821
贡献者37
创建日期2024-12-24
更新日期2026-10-15
1 天星标数1
7 天星标数-3
排名4,526
上次排名18,242
排名变化13,716
7 天星标排名18,543
上次 7 天星标排名18,640
7 天星标排名变化97
总星标排名2,170
上次总星标排名2,167
总星标排名变化-3
国家USA
README 摘录

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

常见问题

记录了多少星标和分叉？

airweave-ai/airweave 有 6,558 个星标和 821 个分叉。

仓库排名是多少？

airweave-ai/airweave 排名第 4,526。

记录的语言和类别是什么？

airweave-ai/airweave 有 6,558 个星标，语言为 Python，类别为 AI Engineering。

哪个仓库排名最接近？

airweave-ai/airweave 与 julep-ai/julep 比较，后者排名第 4,525，有 6,576 个星标。

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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