An open-source, local-first memory solution for AI tools, coding agents, and human collaborators.
metaBrain
An open-source, local-first memory solution for AI tools, coding agents, and human collaborators.
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What it does
metaBrain provides a durable, searchable, and local document memory for AI agents and developers. It offers a stable store for notes, source snippets, task context, metadata, tags, links, and version history, accessible via a CLI (`mb`) and an optional local daemon (`mbd`). This allows agents to write durable facts, search workspace memory, and patch documents with retained versions, streamlining context management for complex workflows.
Who it helps
AI developers, coding agents, and teams building or working with AI tools that require persistent, searchable local memory and context management.
Why it's interesting
metaBrain addresses a critical pain point for AI agents: managing and retrieving context effectively. Its open-source, local-first approach with a simple CLI and structured memory model makes it highly accessible and appealing for developers looking to build more robust and reliable agent workflows. The focus on predictable paths, metadata, and versioning offers a strong foundation for future AI applications.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceThis FounderDeck signal estimate of $100,000 reflects a highly polished and clearly defined open-source developer tool that solves a real and growing problem in the AI agent space. The product clarity, utility, and relevance to current AI trends are strong. While it has significant potential for adoption and impact, the estimate is not higher due to the absence of an explicit monetisation strategy or clear business model on the public website, which is common for early-stage open-source projects.
Valuation date: 2026-06-05. Estimate generated from public signals.
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