Show HN: MetaBrain – A local document memory for AI agents (metabrain.eu)

MetaBrain, a new open-source tool for AI agents, has been introduced to streamline local document management and memory storage. It is designed with convenience in mind, featuring a default storage path at `.metabrain/store.leveldb` for easy access and discovery, allowing agents to interact with local documents without complex setup. The tool includes a command-line interface (CLI) called `mb`, a local daemon `mbd`, and a Swift library, `MetaBrainCore`, providing a versatile solution that meets the needs of AI workflows by enabling efficient document tagging, metadata inclusion, and version retention. The significance of MetaBrain lies in its ability to enhance AI agents' efficiency through a structured local store. Agents can easily save tasks, decisions, and contextual information, retrieving them based on various search parameters without sifting through multiple files. Its ability to keep snapshots of documents and manage collaborative changes with unified diffs ensures smooth operation across different agents working on related tasks. By simplifying these processes, MetaBrain supports the development of more complex and long-running AI applications, making it an essential addition to the AI/ML community's toolkit. The tool is also accessible on macOS, Linux, and Windows, promoting wider adoption across platforms.