OpenHuman

What is OpenHuman?

OpenHuman is a personal AI super intelligence that serves as a local-first brain, orchestrator, and deep researcher. Unlike conventional AI assistants that start cold and require extensive setup to understand your context, OpenHuman builds a persistent memory graph by automatically fetching and compressing your documents, emails, chats, and other data. It uses auto-fetch on a 20-minute loop to pull information locally, then Memory Trees compress everything into Markdown files stored intelligently, inspired by Karpathy's LLM Knowledgebase. This allows OpenHuman to know you and your stack within minutes, not days or weeks.

As an orchestrator, OpenHuman runs fleets of agents on durable graphs, enabling complex workflows and multi-step tasks. It can coordinate multiple agents to work together, making it ideal for automating repetitive processes, managing projects, or conducting research. Its deep researcher capability sweeps your local data and the web simultaneously, providing comprehensive answers before you finish asking the question.

OpenHuman is designed for developers, power users, and anyone who wants a truly personalized AI that respects privacy by keeping data local. Use cases include personal knowledge management, automated research, workflow automation, and building custom AI-powered tools. It is open-source and available on GitHub, with installers for Windows, macOS, and Linux, plus terminal installs via Homebrew, Debian/Ubuntu .deb, and AUR.

Key features include local-first memory, auto-fetch, Memory Trees, durable graph-based agent orchestration, and deep web and local data research. It is under active development as an early beta, with a growing community on Discord, Reddit, and Twitter. OpenHuman is not AGI but represents a meaningful architectural step toward better memory, orchestration, and tooling.

Use Cases

Key Features

local first brain persistent memory graph auto fetch loop Memory Trees compression agent orchestration durable graphs deep research multi agent coordination privacy respecting Markdown storage

Who is it for?

developers, power users, researchers, project managers, automation engineers, privacy, conscious users

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