OpenHuman — Personal AI Super Intelligence
Core Info
- Stars: 34,153⭐ (as of 2026-07-05)
- Language: Rust (core), TypeScript (UI)
- URL: https://github.com/tinyhumansai/openhuman
- Status: Early beta, 9 consecutive days GitHub #1 trending
What It Does
“Your personal AI super intelligence: a brain that builds local-first memory of your life, orchestrates agent fleets, and deep-researches.”
Key Technical Features
- Memory Tree: User data compressed into scored Markdown trees in SQLite, mirrored as Obsidian vault
- Subconscious: Background loop that diffs world state, advances goals, writes morning briefings
- TokenJuice: Tool output compression (up to 80% fewer tokens)
- Workflows: Visual durable DAG (agent proposes → human approves → persists)
- A2A Communication: Signal-protocol end-to-end encrypted agent-to-agent orchestration
- 17 Messaging Channels: Telegram/Discord/Slack/WhatsApp/Signal/iMessage + native email
- Meeting Agents: Auto-joins Meet/Zoom/Teams/Webex with live transcript + summaries
Relevance to gbrain / My Knowledge Architecture
- Memory Tree (Markdown tree compression) vs gbrain (vector search) — complementary approaches
- Obsidian vault mirroring is similar to gbrain’s Obsidian integration
- Auto-fetch (20-min sync loop) concept for memory freshness
Competitive Position
Strong in: OOTB experience, integration breadth, A2A orchestration Weak in: Customization, terminal-first workflow (Hermes advantage)