OpenHuman is an open-source agent harness designed as a personal AI super intelligence, featuring local-first memory through Markdown trees in SQLite and orchestration capabilities via checkpointed graphs. It functions as a brain that builds persistent context from various data sources like email and calendars, acting as both an orchestrator for multi-agent workflows and a deep researcher with built-in web search and media generation tools.
- Features "Memory Trees" stored locally in Markdown format to create a Karpathy-style Obsidian wiki.
- Provides end-to-end encrypted agent-to-agent messaging using the Signal protocol.
- Supports visual, trigger-driven workflows that can be proposed by an AI and reviewed on a canvas.
- Includes a "Privacy Mode" which ensures no inference data leaves the user's machine when toggled.
- Features "Memory Trees" stored locally in Markdown format to create a Karpathy-style Obsidian wiki.
- Provides end-to-end encrypted agent-to-agent messaging using the Signal protocol.
- Supports visual, trigger-driven workflows that can be proposed by an AI and reviewed on a canvas.
- Includes a "Privacy Mode" which ensures no inference data leaves the user's machine when toggled.
This open-source template provides a structured framework for building an LLM-powered second brain using Markdown, Git, and coding agents like Codex or Claude Code. It utilizes a Karpathy-style architecture designed to keep raw source materials immutable while allowing AI agents to synthesize that information into a maintained wiki layer. The system is built for durability and readability, making it ideal for use with tools like Obsidian.
Key features:
- Dual-layer structure separating raw data from synthesized wiki content
- Automated ingestion workflows using coding agents to update indexes and logs
- Git-based version control for reviewing and rolling back AI-generated changes
- Highly compatible with Obsidian and mobile capture workflows
Key features:
- Dual-layer structure separating raw data from synthesized wiki content
- Automated ingestion workflows using coding agents to update indexes and logs
- Git-based version control for reviewing and rolling back AI-generated changes
- Highly compatible with Obsidian and mobile capture workflows
"KaraKeep is a note-taking app designed to help you build and connect your ideas using the power of AI. It goes beyond simple note storage by enabling you to create a 'second brain' – a personal knowledge management system.
Key features include AI-powered summarization, insightful connections between notes, and a focus on long-term knowledge retention. KaraKeep allows you to easily capture thoughts, organize information, and discover hidden patterns in your notes. It aims to be more than just a tool for taking notes; it's a system for thinking and learning.
The app is designed for individuals looking to improve their productivity, creativity, and overall knowledge management."
Key features include AI-powered summarization, insightful connections between notes, and a focus on long-term knowledge retention. KaraKeep allows you to easily capture thoughts, organize information, and discover hidden patterns in your notes. It aims to be more than just a tool for taking notes; it's a system for thinking and learning.
The app is designed for individuals looking to improve their productivity, creativity, and overall knowledge management."
Persys is a locally-run device designed to function as a second brain. The repository includes the backend server (Linux only) and the Electron-based desktop application for accessing the server.
