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Commonplace: Self-hosted, privacy-tiered memory for your AI agents

Commonplace is a self-hosted, privacy-tiered memory system designed for AI agents, allowing users to store and retrieve information while maintaining control over data privacy through tiered access levels.

Background

- A "commonplace book" is a historical practice of collecting ideas, quotes, and notes for personal reference — this project revives the concept for AI agents, letting them store and retrieve memories across sessions. - "Self-hosted" means the service runs on your own infrastructure (not a cloud provider's servers), giving you full control over data privacy and avoiding vendor lock-in. - The project targets users building custom AI agents (automated programs powered by large language models) who want those agents to remember past interactions without sending sensitive data to third-party services. - This sits in the broader ecosystem of "memory layers" for LLMs, addressing a well-known limitation: most AI agents have no persistent memory unless explicitly given one via tooling like vector databases or custom APIs.

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