A context drive is governed context infrastructure for AI agents: file-based, versioned, permissioned storage that makes agent context reproducible across runs and teams.
Every compute workload that matures eventually gets its own storage layer. Databases got SQL. Web apps got blob storage. ML pipelines got feature stores. Vector search got vector databases. AI agents are getting one too. This post makes the infrastructure argument: if you’re building agents that run daily, touch real systems, and are expected to be explainable, you’ll eventually need a canonical place where their working knowledge lives, durably, with permissions and history.
Read the full article: https://www.puppyone.ai/en/blog/context-drive-missing-storage-layer-ai-agents
- https://www.puppyone.ai/en/blog/context-drive-missing-storage-layer-ai-agents
- Steve Mu
- support@puppyone.ai
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context drive, agent context, context infrastructure, AI agents, RAG
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A context drive is file-based, versioned, permissioned storage that makes AI agent context reproducible across runs and teams.