A local-first desktop AI agent by tinyhumansai that builds persistent memory from 118+ connected services.

How is OpenHuman different from OpenClaw?

OpenHuman focuses on personality-first context — it learns about you before you prompt. OpenClaw focuses on task execution.

How many GitHub stars does OpenHuman have?

12,546 as of May 2026, growing at +1,694/day when it hit #1 on GitHub Trending.

Is OpenHuman private?

Yes — local AES-256 encryption with optional offline inference via Ollama.

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OpenHuman Tops GitHub Trending: Personality-First AI Agent with 12.5K Stars

Q: What tech stack does OpenHuman use?

Rust + Tauri desktop app, Memory Tree (SQLite + Obsidian vault), TokenJuice compression, 200+ model support.

OpenHuman by tinyhumansai hit #1 on GitHub Trending (May 13-18 2026) and #1 on Product Hunt daily/weekly/monthly. Local-first desktop agent (Rust + Tauri) builds persistent memory from 118+ connected services. 12,546 stars at +1,694/day. Memory Tree (SQLite + Obsidian vault), TokenJuice compression, 200+ models, AES-256 encryption, optional offline via Ollama.

Product Idea from this Signal

A local service that syncs personal context from connected services into a structured agent memory layer any LLM agent can read

1.2k ▲

OpenHuman hit #1 on GitHub Trending and Product Hunt in May 2026 by connecting to 118+ services and building persistent memory about the user before they type a single prompt. The demand is clear: people want agents that already know them. But OpenHuman is a full agent runtime, tightly coupled. This service is the memory layer only, decoupled from any specific agent framework. It connects to your calendar, email, code repos, chat, and notes, builds a structured personal context graph in local SQLite, and exposes it via a simple API that OpenClaw, Hermes, Claude Code, or any agent can query.

BACKGROUND-SERVICEOPEN-SOURCEMEMORYPRIVACYLOCAL-FIRST

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