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Audrey: Local-first memory guard for AI agents

Audrey is an open-source, local-first memory runtime for AI agents, helping them remember past mistakes, avoid repeated failures, and learn from outcomes via a SQLite backend. It offers memory recall, pre-flight checks, reflex rules, validation closure, and supports MCP, CLI, REST API, and Python clients, suitable for local or sidecar agent loops.

SourceHacker News AIAuthor: evilanders
Audrey: Local-first memory guard for AI agents
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • Audrey is SQLite-based, providing local-first memory storage without needing a hosted database.
  • Core features include memory recall, action preflight, reflex rules, and validation loops.
  • Supports multiple integration methods: MCP server, CLI, REST API, and Python client.
  • Works with local models like Ollama to enhance agent continuity and reliability.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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