OpenHuman Guide

Workflows

OpenHuman Use Cases

Real workflows for OpenHuman: email and calendar automation, code and knowledge management, and long-running personal productivity.

Install guidePrivacy checklist

OpenHuman Use Cases

Practical notes for evaluating a fast-moving open-source AI assistant.

Practical, source-linked OpenHuman guidance

Headline Scenarios

  • A research assistant that remembers every source you have ever discussed with it.
  • One AI interface for email, documents, and project tools — no subscription juggling.
  • A private digital journal and second brain, with raw files in an Obsidian-compatible vault on your disk.
  • A desktop assistant installed in minutes from a signed installer.

Email and Calendar Workflows

Auto-fetch ingests email and calendar events into the Memory Tree every ~20 minutes. Threads and events become Markdown chunks, summarized by sender, topic, and date. The desktop mascot joins Google Meet as a guest, transcribes in real time, labels speakers, and stores the meeting in memory.

  • What did Alice last ask me about the Q3 roadmap?
  • What follow-ups from last week have I not replied to?
  • Summarize my last five syncs with the design team.
  • What did I commit to in Thursday's meeting?
  • Privacy reminder: get explicit consent from other participants before inviting the agent to a call.

Code and Knowledge Management

GitHub connector syncs commits, pull requests, and issues into memory. Native tools cover filesystem access, Git workflows, linting, testing, and grep-style search. With the agentmemory backend, the same store powers OpenHuman alongside Claude Code, Cursor, Codex, and OpenCode.

  • Where in the repo do we configure the rate limiter?
  • Summarize the changes in the last ten PRs touching the auth module.
  • What open issues are blocked on me?
  • Drop your own notes into the Obsidian vault; the agent picks them up on the next ingest cycle.

When OpenHuman Is Not the Right Tool

OpenHuman is early beta. Start with non-critical workflows, inspect every integration's permissions, and validate assumptions before scaling up.

  • Pure chat with a local LLM: use Jan.ai, Msty, GPT4All, or Open WebUI instead.
  • Pure document RAG or team-document Q&A: AnythingLLM is better positioned for this.
  • Fully autonomous engineering tasks: OpenHands is closer to that shape.
  • Mission-critical enterprise deployment today: the project is early beta and has no published independent security audit yet.