MetaBrain – A local document memory for AI agents

MetaBrain is a local document memory system that enables AI agents to autonomously discover and retrieve project-specific contextual data, moving beyond linear chat interactions. Designed for developers and AI practitioners experimenting with agentic coding, it allows agents to access and reference persistent, structured information tailored to individual projects. This approach is interesting because it enhances agent autonomy and context-awareness, potentially improving the coherence and relevance of AI-driven development workflows.