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

# 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

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 — A clean desktop experience and short onboarding paths so you can go from install to a working agent in a few clicks, without a config-first setup. No terminal required.

• One subscription, many providers — One account gets you access to many agentic APIs (AI models, search, webhooks/tunnels, third-party APIs).

• 118+ third-party integrations — 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.

• 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.

• Auto-fetch from your stack — Every five minutes the core walks each active connection and pulls fresh data into the memory tree. No prompts, no polling loops you have to write — the agent already has tomorrow's context this morning.

• Smart token compression (TokenJuice) — Verbose tool output (git, npm, cargo, docker, large emails) is compacted by a rule overlay before it ever enters LLM context. Sweeping through thousands of emails stays cheap because the model never sees the noise.

• Automatic model routing — Tasks pick their model. hint:reasoning lands on a strong reasoning model, hint:fast on a fast one, vision goes to a vision model — all under one subscription, with zero per-provider key juggling.

• Native voice (ElevenLabs) — STT in, ElevenLabs TTS out, with mascot lip-sync. Includes a live Google Meet agent that listens, takes notes and can speak back in your meetings.

• Native search, scraper and coder — Built-in web search, web-fetch scraper, and a full filesystem / git / lint / test / grep toolset wired into the agent out of the box. No "install a plugin to read files" friction.

• Optional local AI (via Ollama) — Off by default. Opt in per-workload to keep memory embeddings, summary-tree building, and background reflection loops on your machine. Chat / vision / voice stay cloud — the local path is scoped to the workloads where on-device actually pays.

• 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: Architecture · Getting Set Up · Cloud Deploy · CONTRIBUTING.md.

High-level comparison (products evolve—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.

Building toward AGI and artificial consciousness? Star the repo and help others find the path.

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