context-vault

Context Vault provides a way for AI agents to remember information and learn over time. It allows agents to store knowledge persistently, even across different sessions or restarts. This is particularly useful for agents that need to build up a body of knowledge or track progress on a task. Developers and AI enthusiasts can use Context Vault to create more sophisticated and capable agents. The system uses a local-first approach, meaning data is stored directly on the user's machine. It combines markdown files, a SQLite database, and embeddings to enable efficient storage and retrieval of information. This allows agents to access and utilize past interactions and learned data.

AI agents often lose context between interactions, limiting their ability to perform complex tasks or learn from experience. Context Vault solves this by providing a persistent memory solution, eliminating the need for developers to manually manage agent knowledge or rely on less robust temporary storage methods.