Free Private Desktop AI Agent with Local Memory

Yet another alternative to OpenClaw & Hermes Agent.

OpenHuman is a free & open-source desktop AI agent that builds a personal AI assistant with local memory, app connections, model routing, and voice support.

The agent is designed to help you create a private personal agent that can remember work context, connect to everyday apps, search the web, fetch pages, use coding tools, and store knowledge on the local machine.

It is free to download and self-host under a GNU license, with model costs passed through your own subscription or API keys.

Visit OpenHuman

How OpenHuman Works?

Most agentic assistants start cold. You install them, connect a model, and then spend days manually feeding context before the agent produces anything genuinely useful.

OpenHuman takes a different approach by pulling data from connected accounts every twenty minutes and compressing that data into a local knowledge base before you ask the first question.

The result is closer to a personal operating system layer than a traditional AI chatbot.

A desktop mascot with a visible face acts as the agent’s front end. It speaks, lip-syncs to voice output, joins Google Meet calls as a participant, and runs background tasks while you work.

The memory it builds lives in SQLite on your machine as Markdown files in an Obsidian-compatible vault. No data leaves your device unless a connected integration requires it.

OpenHuman vs OpenClaw

Category	OpenHuman	OpenClaw
Best fit	Desktop personal AI with local memory and app context.	Messaging first personal automation across chat channels.
Free access	Open source MIT core with user-managed model access.	Open source MIT core with user managed model access.
Setup difficulty	UI first desktop path, plus install scripts and source builds.	CLI onboarding, gateway setup, channels, skills, and model setup.
Core workflow	Connect apps, build memory, use tools, and work from a desktop assistant.	Run an always on assistant through WhatsApp, Telegram, Slack, Discord, and other channels.
Main limitation	Early beta status and unclear subscription quotas.	Security, skills, and permission setup need careful handling.
Better choice when	You want readable memory and a local knowledge vault.	You want chat channel automation and deep skill based workflows.

Choose OpenHuman if you want a desktop agent that learns from your connected work context and stores readable memory locally. Choose OpenClaw if you want a messaging-based assistant that can run across many chat channels and custom skills.

Features

A 20-minute auto-fetch loop pulls data from connected accounts into a local memory tree without manual prompts.
The memory tree stores all ingested context as Markdown chunks in an Obsidian-compatible vault stored in SQLite on your machine.
Over 118 third-party integrations connect via one-click OAuth, covering Gmail, Notion, GitHub, Slack, Stripe, Calendar, Drive, Linear, and Jira.
TokenJuice compression runs every tool call, email body, and search result through a token reduction layer before it reaches any model, reducing token usage by up to 80%.
Built-in model routing sends each task to the appropriate model tier (reasoning, fast, or vision) under one account.
Native voice input and ElevenLabs TTS output are included by default, with mascot lip-sync and live Google Meet agent participation.
A full coder toolset covers filesystem access, git, lint, test, and grep without additional plugin installation.
Optional local model support runs through Ollama for on-device workloads.

Best For

Developers or knowledge workers who manage Gmail, Notion, GitHub, Slack, and calendar in one daily workflow.
Users who want an agent that arrives with full context of their inbox and repos on the first day.
Teams self-hosting AI workflows who want all memory and workflow data stored locally.
Users already running Ollama who want local model support inside an agent with memory.
Builders who want an open-source agent harness they can extend or contribute to.
Users who want voice interaction and a persistent desktop presence alongside text-based agent tasks.

Install & Setup

Download the desktop app from the official website or run the terminal installer.

For macOS or 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

After installation, connect your accounts via OAuth inside the app. The auto-fetch loop starts on its own. Add your model API keys or point the tool at a local Ollama instance to activate inference.

Pros

Full local memory storage.
118 OAuth integrations included.
Token compression built in.
Voice and desktop mascot included.
Local Ollama model support.
Obsidian-compatible memory vault.

Cons

Inference costs not covered.
ElevenLabs account required for voice.
No real-time sync.

Related Resources

FAQs

Q: Does OpenHuman require an account to get started?
A: No. Download the desktop app or run the install script, then connect your own accounts and model keys inside the app.

Q: Does OpenHuman send my data to external servers?
A: Workflow data and memory are stored locally in SQLite on your machine. Connected integrations (Gmail, Notion, etc.) send data through their own APIs as you would expect from any OAuth connection.

Q: What platforms does OpenHuman run on?
A: macOS, Linux, and Windows are all supported via the desktop installer. A terminal install script is available for macOS and Linux.

Q: How does the memory system work?
A: Auto-fetch pulls data from your connected accounts every twenty minutes and converts it into compressed Markdown chunks. Those chunks land in an Obsidian-compatible vault on your machine and in a SQLite memory tree the agent queries during tasks. No training period is required.