Mozilla.ai presents cq, a shared knowledge-unit system for AI agents
Overview
Mozilla.ai has presented cq, a project in which AI agents capture lessons from non-obvious fixes as structured knowledge units that other agents can later query.
According to a Tessl Blog report on the project, cq's default setup is local-first, storing knowledge in a local SQLite database so nothing leaves the machine.
Teams can optionally connect cq to a remote server to share knowledge more broadly. In that setup, remote knowledge goes through human-in-the-loop review before it becomes available to others. Mozilla.ai presented the project at AI Native DevCon London; the available reporting describes the design and does not report on adoption or results.
Written by AI from the articles below · updated Oct 8, 7:45 PM ET
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- Tessl BlogMozilla.ai's cq Aims to Give Agents a Shared, Reviewable Knowledge Commons
AIMozilla.ai's cq project proposes a shared knowledge layer where AI agents capture lessons from non-obvious fixes as structured knowledge units that other agents can later query. The default setup is local-first, using a local SQLite database so nothing leaves the machine, with an option to connect to a remote team server that adds review.
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