Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for people who want a more packaged personal agent they can install on macOS, Linux, or Windows while still keeping most state local and deciding how much of the managed backend to use.
Who should use it
Who should skip it
Pass on tinyhumansai/openhuman if its scope or audience does not match what your team is building right now.
About this signal
tinyhumansai/openhuman is tracked by RepoRadar as a agent workspace in the Agent Workflows section. It was first seen on 2026-06-28 and last updated on 2026-06-28. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. The standout signals for tinyhumansai/openhuman are momentum (10.0) and workflow potential (10.0), while setup ease (6.4) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned tinyhumansai/openhuman a composite score of 8.6 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
The default path uses OpenHuman-hosted sign-in, model routing, search proxying, and Composio-backed integration flows, so first evaluation should stay on test accounts and custom or local settings where possible; GPL-3.0 copyleft changes the redistribution story for teams that want to embed or ship derivative desktop-agent products, so commercial adopters need a license review before standardizing.