Context Keeper

Context Keeper

Offline-first structured memory for Claude and project-based AI agents.

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About Context Keeper

Context Keeper is an offline-first, human-auditable project memory layer for use with Claude and other conversational agents. It enables long-term, structured context retention by recording and recalling design decisions, workflow pipelines, constraints, and project rationale—crucial for maintaining continuity in conversations over time and across sessions. With advanced features like deduplication, contradiction detection, quality refinement, precise field-based querying, and seamless narrative/project summary export, it is indispensable for teams and developers building complex projects or integrating AI agents that require persistent, structured memory. Data is stored as editable JSON files, ensuring privacy and ease of control.

Resources

Product Website

Visit Context Keeper's official website for product details and getting started.

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Documentation

Comprehensive guides and API documentation for setting up and using Context Keeper.

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Example Use Cases

Explore practical examples and scenarios where Context Keeper can be effectively utilized.

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