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Mozilla Releases 'cq', an Open-Source Knowledge Base for AI Agents

The proof-of-concept pools agent learnings to reduce repeated work.

Overview

  • Mozilla.ai published an open-source proof-of-concept Monday that runs locally with plugins, an MCP server, a Team API, and containerized components.
  • The Python code uses a SQLite store, supports Claude Code and OpenCode plugins, and includes a human-in-the-loop review interface.
  • The system organizes knowledge into local, organization, and potential global tiers with confidence that increases as agents or people confirm entries.
  • Mozilla is still deciding between a centralized public commons and a distributed model, with a seeded central instance floated to jump-start adoption.
  • Security risks such as data poisoning and prompt injection are acknowledged, with proposed checks including anomaly detection, multi-source confirmation, and human review.