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