Open Source AI Agent OpenHuman Achieves Integration with Over 118 Services

What is OpenHuman?

OpenHuman, an open-source AI agent gaining traction on GitHub, is designed to integrate seamlessly into users’ daily lives. With an emphasis on privacy, it offers simple yet powerful functionalities. Currently in early beta, the project is actively being developed.

Key Features

Integration with Over 118 Third-Party Services

OpenHuman supports one-click OAuth integration with over 118 third-party services, including Gmail, Notion, GitHub, Slack, Stripe, Google Calendar, Google Drive, Linear, and Jira. Each connection is presented as a typed tool for the agent, enabling regular automatic data synchronization and incorporation into a memory tree. This ensures that the agent has the latest context without requiring users to write prompts.

Memory Tree and Obsidian Wiki

As a local-first knowledge base, OpenHuman implements a Memory Tree and Obsidian Wiki. Connected data is normalized into Markdown chunks of fewer than 3,000 tokens, scored, and stored in a hierarchical summary tree. These chunks are saved locally as an Obsidian-compatible vault, allowing users to browse and edit them. This design is inspired by Andrej Karpathy’s Obsidian Wiki workflow.

Built-in Features

OpenHuman comes equipped with a comprehensive set of tools, including web search, web scraping, a full coding toolkit (file system, git, linting, testing, grep), native voice functionality (speech recognition, text-to-speech via ElevenLabs, mascot lip-syncing, and real-time Google Meet agent), and model routing for automatic selection of the optimal large language models (LLMs) for each task. These features are accessible under a single subscription, with optional support for local AI through Ollama.

Smart Token Compression (TokenJuice)

Before handing data to LLM models, OpenHuman processes tool calls, scraping results, email contents, and search payloads through a token compression layer. This layer converts HTML to Markdown, shortens lengthy URLs, and removes non-ASCII characters, drastically reducing token usage while preserving information. This optimization cuts costs and latency by up to 80%.

Focus on Privacy and Security

OpenHuman supports inbound and outbound communication through messaging channels users already use, ensuring privacy and security for workflow data. Since all data is stored locally, reliance on the cloud is minimized, enhancing privacy protection.

How to Install

OpenHuman is compatible with macOS, Linux, and Windows. Installation can be done by downloading the DMG or EXE file from the official website or by running a script in the terminal. For macOS/Linux, use the following command:

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

For Windows, execute the following command in PowerShell:

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

For detailed documentation and the latest updates, visit the GitHub repository or the official website.

Future Prospects

As OpenHuman is still in early beta, further feature additions and improvements in stability are anticipated. Contributions from the open-source community are welcome, and the project’s growth is being closely watched.