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      "text": "Open-source knowledge layer, formerly published as Danswer, that connects to 50+ applications (docs, tickets, wikis, code) and indexes them into a hybrid search index so a team's AI agents retrieve from one shared, permission-aware context instead of each tool scraping sources independently.\n\n- MIT (Community Edition), 32.4k stars, 4.5k forks — independently WebFetch-verified 2026-10-10 (github.com/onyx-dot-app/onyx).\n- Surfaced via the 2026-10-10 OSS X pull.\n- Curated from the GTM Stacker signal registry (2026-10-10 pass); license independently verified 2026-10-10."
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      "text": "- MIT (Community Edition), 32.4k stars, 4.5k forks — independently WebFetch-verified 2026-10-10 (github.com/onyx-dot-app/onyx).\n- Surfaced via the 2026-10-10 OSS X pull.\n- Curated from the GTM Stacker signal registry (2026-10-10 pass); license independently verified 2026-10-10.\n\nA GTM team running multiple AI agents (a support bot, a sales-research agent, an internal Slack assistant) usually ends up re-indexing the same docs, pricing pages, and tickets in three different tools, each with its own retrieval quality. Onyx's bet is a single owned retrieval layer: index once, let every agent query the same permission-aware index. The honest read: the free MIT tier covers the core retrieval and chat stack, which is most of what a lean team needs, but enterprise-grade access control and white-labeling sit behind a paid tier — worth checking that split against your actual compliance requirements before standardizing on it."
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