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LifeOS
LifeOS is a personal AI harness layer that gives a coding assistant persistent context about the user, reusable skills, memory, structured work, and a local dashboard.
The public project packages its operating rules, tools, skills, memory structure, personal USER tree, and Pulse dashboard into an installable system for Claude Code and other file-and-terminal-capable AI harnesses. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A personal layer above an AI harness
LifeOS adds a persistent USER tree, memory, skills, work records, operating rules, tools, and a dashboard around an existing coding assistant instead of supplying its own foundation model.
Why it stands out
Personal context is part of the system
Its setup captures goals, identity, preferences, current state, and desired outcomes, then keeps that context available across later sessions and workflows rather than asking the user to rebuild it in every chat.
Availability
Documented install paths
The public repository includes source, releases, documentation, an AI-guided installer, Windows, macOS, and Linux detection, and paths for Claude Code, Codex, Cursor, Cline, Gemini CLI, and other capable assistants.
Why it matters
What makes it useful
LifeOS turns personal context and repeatable ways of working into files and tools that can survive beyond one chat. That gives readers a concrete system for keeping goals, decisions, memory, and reusable workflows together in inspectable files.
What to know
Where it fits
Read it as a technically involved personal AI operating layer, not a ready-made consumer chatbot. It is most relevant to people who already use an AI coding harness and want persistent context, reusable skills, structured work, memory, and a dashboard around it.
Notable points
What stands out
The official install guide lists Claude Code as the most complete integration. Codex, Cursor, Cline, Gemini CLI, and other harnesses can load the LifeOS context and run workflows, but the guide says Claude Code-style always-on hooks are not yet wired for those alternatives.
Before using
What to review
Read the install plan before approving changes. The setup can add files to an AI harness configuration, create a personal data tree, add a launch command, and optionally connect hooks or other components.
Back up an existing assistant configuration and inspect the dry-run and conflict scan before applying the installer on a machine with established custom rules or tools.
Decide what personal, work, health, financial, relationship, or credential-related context belongs in the USER tree, and protect that directory like other sensitive local data.
Check which model providers, browser tools, cloud services, voice services, messaging routes, or scheduled components are enabled. A local configuration layer does not make every connected service local or private.
Expect the fullest current path on Claude Code. On Codex and other non-Claude harnesses, review the documented limits around always-on hooks, context loading, and launch behavior before depending on the same controls.
Reader fit
Who may find it relevant
People who want an AI coding assistant to retain personal context, goals, decisions, and reusable workflows across sessions.
Builders comparing file-backed memory, skills, tool gates, work records, and dashboards as parts of a personal AI setup.
Readers willing to inspect configuration files, permissions, integrations, backups, and source before giving an AI system deeper access to their work or life.
Less relevant for someone who wants a no-setup chatbot, a model checkpoint, or identical behavior across every AI harness today.
Editorial note
Why LifeHubber lists it
LifeOS earns a place because it makes continuity a real part of a personal AI setup: goals, context, memory, skills, and work records live in an inspectable system instead of disappearing when one chat ends. It helps readers decide whether that deeper setup is worth the access, maintenance, and harness-specific tradeoffs.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Keep the personal layer recoverable.
A system can remember more about you and still need an exit plan. These next steps help keep the important files, decisions, and fallback path visible outside one assistant setup.
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