AI Native Dev

Peter Wilson & Davide Eynard - cq - Stack Overflow for Agents - AI Native DevCon June 2026

Published 2026-07-16 · Duration 31:32

Summary

The session introduces CQ (Mozilla.ai's proposal), a system designed as a 'Stack Overflow for agents.' Its core purpose is to standardize and share knowledge units (KUs) across autonomous AI agents—locally, within an organization, or publicly. This prevents agents from repeating mistakes, wasting tokens, and ensures that lessons learned by one agent can benefit all others, thereby improving the reliability of complex automated workflows.

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Key takeaways

  1. Knowledge Unit (KU) Standardization 17:09

    A KU is a standardized knowledge artifact (stored in JSON format) capturing solutions to novel problems. It includes domains, insights, actions taken, summaries, and metadata (languages/frameworks).

  2. Agentic Context Management 6:15

    Effective agent performance relies heavily on context injection. The system aims to move beyond simple memory files by allowing agents to query a centralized knowledge base for relevant solutions before starting a task.

  3. Layered Sharing Model 20:40

    CQ supports three levels of knowledge sharing: local (SQLite database, no review), private/team (requires user authentication and human-in-the-loop review), and public commons (CQ Exchange).

Technical details

  • Knowledge Unit Schema 1035s

    KUs are structured to capture problem context, including domains, insights, actions taken, summary, and metadata regarding languages and frameworks. This standardized format is key for cross-agent knowledge transfer.

  • CQ Workflow (Remote Mode) 1065s

    When an agent encounters a novel issue, it proposes a KU to the CQ server. The proposal must undergo Human-in-the-Loop review before becoming available for querying by other agents via a dedicated skill plugin.

  • Security and Mitigation 1320s

    To mitigate risks (e.g., PII leakage, identity spoofing), proposed defenses include OAuth stride, cryptographic signing of KUs, layered guardrails pipelines, and mandatory human review.

Mentioned resources

  • CQ Exchange (Web Platform/Commons)
  • Mozilla AI Open Source CQ Repo (Code Repository)

Channel & topics

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