OpenHuman

OpenHuman is your Personal AI super intelligence. Private, Simple and extremely powerful.

Discord • Reddit • X/Twitter • Docs • Follow @senamakel (Creator)

Early Beta: Under active development. Expect rough edges.

To install or get started, either download from the website over at tinyhumans.ai/openhuman or run

# Download DMG, EXEs over at https://tinyhumans.ai/openhuman or run in from your terminal

# For MacOS/Linux
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash

# For Windows
irm https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.ps1 | iex

What is OpenHuman?

OpenHuman is an open-source agentic assistant designed to integrate with you in your daily life. Each bullet links to the deeper writeup in the docs.

• Simple, UI-first & Human A clean desktop experience and short onboarding paths take you from install to a working agent in a few clicks — no config-first setup, no terminal required. The agent has a face: a desktop mascot that speaks, reacts to its surroundings, joins your Google Meets as a real participant, remembers you across weeks, and keeps thinking in the background even when you've stopped typing.

• 118+ third-party integrations with auto-fetch: plug into Gmail, Notion, GitHub, Slack, Stripe, Calendar, Drive, Linear, Jira and the rest of your stack with one-click OAuth. Every connection is exposed to the agent as a typed tool, and every twenty minutes the core walks each active connection and pulls fresh data into the memory tree. No prompts, no polling loops you have to write, so the agent already has tomorrow's context this morning.

• Memory Tree + Obsidian Wiki: a local-first knowledge base built from your data and your activity. Everything you connect is canonicalized into ≤3k-token Markdown chunks, scored, and folded into hierarchical summary trees stored in SQLite on your machine. The same chunks land as .md files in an Obsidian-compatible vault you can open, browse and edit, inspired by Karpathy's obsidian-wiki workflow.

• Batteries included: web search, a web-fetch scraper, a full coder toolset (filesystem, git, lint, test, grep), and native voice (STT in, ElevenLabs TTS out, mascot lip-sync, live Google Meet agent) are wired in by default. Model routing sends each task to the right LLM (reasoning, fast, or vision) under one subscription. No "install a plugin to read files" friction. Optional local AI via Ollama for on-device workloads.

• Smart token compression (TokenJuice): every tool call, scrape result, email body, and search payload is run through a token compression layer before it touches any LLM Model. HTML is converted to Markdown, long URLs are shortened, non-Asccii characters are removed etc... You get the same information but at a fraction of the tokens. Reducing costs & increasing latency by upto 80%.

• Messaging channels and privacy & security: inbound/outbound across the channels you already use, with workflow data that stays on device, encrypted locally, treated as yours.

For contributors: Read the Architecture · Getting Set Up · Cloud Deploy · CONTRIBUTING.md.

Context in minutes, not weeks

OpenHuman is the first agent harness that gets to know you in minutes. Inspired by Karpathy's LLM Knowledgebase. Most agents start cold. Hermes learns by watching you work; OpenClaw waits for plugins to ferry context in. Either way, you spend days or weeks before the agent knows enough about your stack to be genuinely useful.

OpenHuman summarizes and compresses all your documents, emails & chats; and creates a memory graph that lets your agent remember everything about you.

OpenHuman skips the wait. Connect your accounts, let auto-fetch pull data locally on a 20-minute loop, and then have Memory Trees compresses everything into Markdown files stored intelligently in a Karpathy-style Obsidian wiki.

In just one sync pass and the agent has full (compressed) context your inbox, your calendar, your repos, your docs, your messages. No training period. No "give it a few weeks.". It becomes you, controlled by you.

OpenHuman vs Other Agent Harnesses

High-level comparison (products evolve, so verify against each vendor). OpenHuman is built to minimize vendor sprawl, keep workflow knowledge on-device, and give the agent a persistent memory of your data, not only chat.

	Claude Cowork	OpenClaw	Hermes Agent	OpenHuman
Open-source	🚫 Proprietary	✅ MIT	✅ MIT	✅ GNU
Simple to start	✅ Desktop + CLI	⚠️ Terminal-first	⚠️ Terminal-first	✅ Clean UI, minutes
Cost	⚠️ Sub + add-ons	⚠️ BYO models	⚠️ BYO models	✅ One sub + TokenJuice
Memory	✅ Chat-scoped	⚠️ Plugin-reliant	✅ Self-learning	🚀 Memory Tree + Obsidian vault
Integrations	⚠️ Few connectors	⚠️ BYO	⚠️ BYO	🚀 118+ via OAuth
Auto-fetch	🚫 None	🚫 None	🚫 None	✅ 20-min sync into memory
API sprawl	🚫 Extra keys	🚫 BYOK	🚫 Multi-vendor	✅ One account
Model routing	🚫 Single model	⚠️ Manual	⚠️ Manual	✅ Built-in
Native tools	✅ Code-only	✅ Code-only	✅ Code-only	✅ Code + search + scraper + voice

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Contributors Hall of Fame

Show some love and end up in the hall of fame. Contributors get free merch and special access to our Discord.