35 tagged agent infrastructure, measured the same way as everything else here.
Browse within: RAG 22search 22agent-fleet 11agent-orchestrator 11agent-swarm 11ai-orchestration 11aider 11
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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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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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Per-directory context files for agents working inside a subtree. Each covers: what the directory is for, key files, invariants, and how to test that subtree.
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Full per-file map: docs/sdd/module-map.md (generated).
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Bernstein orchestrator context - always active when working in a Bernstein-managed project.
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AtomicMemory persistent memory protocol and MCP tool usage.
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Git commit message conventions and PR merge strategy for jentic-one.