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? — OpenHuman searches across your email threads and calendar events to find the answer.
- What follow-ups from last week have I not replied to? — It checks email timestamps against your sent folder and surfaces unanswered threads.
- Summarize my last five syncs with the design team. — It pulls calendar invites, meeting notes, and related emails into a single summary.
- What did I commit to in Thursday's meeting? — It cross-references the meeting transcript with your task tracker to surface commitments.
- 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? — OpenHuman searches your codebase through the GitHub connector and points to the relevant file.
- Summarize the changes in the last ten PRs touching the auth module. — It reads commit messages, PR descriptions, and review comments to build a summary.
- What open issues are blocked on me? — It checks GitHub issues assigned to you and cross-references with PR status.
- Drop your own notes into the Obsidian vault; the agent picks them up on the next ingest cycle. — Add a note like 'Review Q3 budget by Friday' and OpenHuman will surface it when relevant.
A Day in the Life
Here is what using OpenHuman looks like across a typical workday.
- Morning: OpenHuman summarizes overnight emails and flags urgent items. It cross-references with your calendar to remind you of prep needed for today's meetings.
- Midday: During a standup, you ask 'What did we decide about the API timeout last week?' OpenHuman searches across emails, Slack, and meeting notes to find the decision.
- Afternoon: You ask 'Draft a follow-up email to the vendor about the delay.' OpenHuman reads the thread history and generates a draft in your voice.
- Evening: You ask 'What did I accomplish today?' OpenHuman reviews your calendar, commits, and messages to build a status update you can share with your team.
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.
What can I use OpenHuman for?
Common scenarios include email and calendar triage, code and repository questions through the GitHub connector, a private second brain in an Obsidian-compatible vault, and a desktop assistant that can join Google Meet to transcribe and store meetings.
Can OpenHuman join and transcribe meetings?
Yes. The desktop mascot can join Google Meet as a guest, transcribe in real time, label speakers, and store the meeting in memory. Get explicit consent from other participants before inviting the agent to a call.
How does OpenHuman help with code?
Its GitHub connector syncs commits, pull requests, and issues into memory, and native tools cover filesystem access, Git workflows, linting, testing, and grep-style search, so you can ask where something is configured, summarize recent pull requests, or find issues blocked on you.
When is OpenHuman not the right tool?
For pure local-LLM chat use Jan.ai, Msty, GPT4All, or Open WebUI; for pure document RAG use AnythingLLM; for fully autonomous engineering use OpenHands; and for mission-critical enterprise deployment note that it is early beta with no published independent security audit yet.
How often does OpenHuman update its memory?
Background auto-fetch ingests new email, calendar, and connected-app content into the Memory Tree roughly every 20 minutes for each active connection.