airweave-ai/airweave

airweave-ai/airweave

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General overview of Airweave.

airweave-ai/airweave

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FastAPI-based HTTP interface providing RESTful endpoints for SDK access and frontend communication, with unified Auth0/API key authentication.

airweave-ai/airweave

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Raw entity capture for replay, debugging, and evals.

airweave-ai/airweave

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Auth providers enable third-party services (Pipedream, Composio) to supply credentials for source connections, eliminating manual credential management and enabling OAuth at scale for agent developers who are already using these connector providers.

airweave-ai/airweave

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Detail: shortname is a globally unique identifier used throughout the system, e.g. slack, outlook or hubspotcrm.

airweave-ai/airweave

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The Connect widget is an embeddable component that allows end users to manage their source connections within third-party applications. It runs inside an iframe and communicates with parent applications via postMessage.

airweave-ai/airweave

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Cursors enable incremental syncs by tracking progress between executions using typed Pydantic schemas. Instead of untyped dicts, each source defines a cursor schema with validated fields.

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This is the master guide for building a complete, production-ready source connector for Airweave. It combines source implementation with comprehensive E2E testing using the Monke framework.

airweave-ai/airweave

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Comprehensive guide for understanding and working with the CRUD layer in Airweave backend.

airweave-ai/airweave

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Lightweight organization-level feature flags for gating features. Table name is featureflag (org is implied).

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The custom internal Fern documentation generator automatically creates MDX documentation for Airweave connectors by introspecting Python source code using AST (Abstract Syntax Tree) parsing.

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Minimal, non-intrusive validation that guides without blocking. No success messages or harsh errors, just essential hints.

airweave-ai/airweave

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Cursor rule "frontend-rules" from airweave-ai/airweave, covering airweave frontend architecture & guidelines, tech stack & core technologies, project structure, api layer (lib/api.ts) and core features.

airweave-ai/airweave

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Description of how the integrations yaml works.

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MCP (Model Context Protocol) server architecture and implementation.

airweave-ai/airweave

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Monke is Airweave's end-to-end testing framework for source connectors. It creates real test data in external systems, triggers syncs, and verifies data appears correctly in the search index.

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End-to-end testing framework for Airweave connectors using real external APIs.

airweave-ai/airweave

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The search module (@search/) implements a modular, pipeline-based architecture with composable operations. It aims to maintain search quality and flexibility.

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A source connector in Airweave is a Python module that extracts data from an external service and transforms it into searchable entities. This guide covers everything you need to build a production-ready connector.

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Airweave supports two ways to pay for subscription plans while always metering usage monthly.

airweave-ai/airweave

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The sync module orchestrates data flow from sources to destinations using a highly concurrent, pull-based asynchronous architecture with sophisticated backpressure control, real-time progress tracking, and automatic OAuth token management.

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Token provider exception design and how it feeds into the source connection domain.