Airweave

Airweave is the essential open-source data layer designed to empower AI agents with accurate, real-time knowledge. It solves the critical challenge of data fragmentation by connecting agents directly to your private applications and databases, ensuring every decision and response is deeply grounded in current, context-rich information. Airweave provides the foundational infrastructure developers and scaling organizations need to build reliable, high-performing agent solutions.

Key Features

Airweave transforms your diverse ecosystem of apps and databases into a single, cohesive source of truth for your agents. These core capabilities ensure your AI operates with unparalleled precision and speed:

🔍 Advanced Agentic Search

Airweave unblocks agents by enabling them to find precise answers across disparate data formats and sources. You gain powerful semantic, hybrid, and agentic search capabilities that go beyond simple keyword matching, incorporating intent, context, and a deep understanding of complex relationships within your data. This ensures agents deliver grounded, highly relevant results instantly.

⏱️ Real-time Data Sync

Agents must operate on current information. Airweave handles continuous, real-time data synchronization between your sources and the agent layer, eliminating the risk of stale snapshots or manual refreshing. Your agents always access the most current information, which is critical for time-sensitive tasks and maintaining accuracy.

🔌 Extensive Prebuilt Connectors

Accelerate deployment with a growing catalog of over 20 prebuilt connectors for common CRMs, support platforms, data warehouses, and document stores. Simply configure the connection once, and Airweave manages the authentication, integration, and ongoing data sync, drastically reducing the development overhead associated with maintaining brittle point-to-point connections.

🛠️ Rapid Framework Compatibility

Designed for modern agent development, Airweave is framework-friendly and integrates seamlessly into existing stacks. You can drop Airweave directly into popular platforms like LangChain, Composio, and Pipedream, or your custom agent environment, allowing you to go from installation to receiving your first grounded answer in as little as five minutes.

Use Cases

Airweave provides tangible benefits across various development and organizational scenarios, enabling greater speed, accuracy, and scalability for your AI initiatives.

1. Building Context-Aware Personal Agents

As a developer, you can quickly build sophisticated personal agents or side projects capable of searching across your entire digital workspace (e.g., Slack history, GitHub issues, private Notion documents). This capability allows the agent to answer highly specific, complex questions about your projects or workflow using information previously locked away in siloed applications.

2. Scaling Enterprise Knowledge Agents

For fast-moving teams, Airweave acts as a centralized knowledge layer, replacing the need for developers to write and maintain complex, brittle integrations for every single app an agent needs to access. Organizations can ensure all customer-facing or internal support agents draw accurate, real-time context from systems like Salesforce, Zendesk, and internal databases simultaneously, leading to higher quality, consistent service.

3. Ensuring Grounded Decision Support

Deploy Airweave to ensure critical AI applications—such as those used for financial analysis, compliance checks, or strategic planning—are always grounded in the latest operational data. By leveraging time-aware and agentic search capabilities, the AI can understand data dependencies and retrieve context based on the user's current intent, drastically reducing errors and improving trust in automated decisions.

Unique Advantages

Airweave is built specifically to address the unique challenges of integrating AI agents into private data ecosystems, offering clear advantages over traditional data integration methods.

• Centralized Source of Truth: Airweave creates a searchable knowledge layer across all services and applications. This unified approach means agents can find the right information efficiently without requiring developers to manage extensive, custom, and fragile point-to-point integrations for every new data source.

• Uncompromising Data Control: Built on an open-source philosophy, Airweave prioritizes trust and transparency. Your data remains under your control, always. You choose precisely what to sync and who can access it, and you can remove it at any time. Airweave never shares your private organizational data externally.

• Speed of Deployment: Unlike complex data pipeline projects, Airweave is designed for immediate utility. Most teams can achieve operational status—going from installation to receiving the first grounded answer from their agent—in approximately five minutes.

Conclusion

Airweave transforms fragmented internal data into actionable intelligence for your AI agents. By prioritizing speed, advanced multi-modal search, and complete data control, it is the foundational tool required for building reliable, scalable agent solutions that consistently deliver accurate, grounded answers.