holaOS logo

holaOS

holaboss-ai/holaOS

Local-first super agent for work that learns and retains context.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

54views this month

11k stars723 forksLast push Aug 21, 2026 TypeScript Other

Decision brief

HolaOS is tailored to work environments seeking a local-first AI assistant that retains context indefinitely.

Good fit when

  • When you require an agent that operates entirely locally without relying on cloud storage to maintain user privacy and data security.
  • If your workflow involves complex, long-term projects where retaining extensive historical context is beneficial for decision support.

Avoid when

  • Avoid if your setup strictly requires cloud integration or synchronization across multiple devices which holaOS does not offer due to its local-first focus.
  • Not suitable when a mobile-friendly solution is needed as the tool supports workspace contexts primarily and may lack mobility-specific features.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (29d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No MCP manifest
As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install holaOS
npm

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

HolaOS is an AI-driven personal assistant built to understand and support your working environment rapidly and retain knowledge indefinitely using advanced memory protocols.

Capability facts

MCP server
No MCP server detected

Source: repo_scan · Sep 20, 2026

Languages
typescript, javascript

Source: github.language+package.json · Sep 20, 2026

Categories

Tags

README

One Line Install For a fresh machine bootstrap on macOS, Linux, or WSL, use the repository installer: You can also follow the manual path if you want to control each setup step. Manual Install You likely will not need this section because One Line Install runs the same setup. Use...

For agents

This page has a .md twin and JSON over the API.

Was this helpful?

Anonymous feedback helps us improve pages and translations.