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Obsei

Tool Oct 17, 2026

A self-hosted customer-feedback pipeline with local classification, redaction controls, theme analysis and MCP access for AI assistants.

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Obsei's integration diagram listing feedback sources and delivery destinations.
Author-published integration diagram from the tagged English guide, with the full frame preserved. It describes documented options, not independently tested connections; the guide identifies Reddit as an unpublished community plugin installed separately. Source: Obsei contributors
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Obsei ingests customer feedback from configured sources, applies redaction and classification, and exposes themes and cited records to people and AI assistants. It supports a local classifier and separately configured model endpoints. Its documented privacy controls support an operator’s policies but do not constitute a compliance guarantee.

The Apache-2.0 service offers Python and Docker installation, an MCP server and repository-installed assistant plugins. Its integration guide separates read-only feedback tools from issue proposals that require human approval. Operators remain responsible for source credentials, optional model services and deployment access.