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 an agent project in the Agent Workflows section. First seen 2026-06-28; the source record was last checked 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 public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The tinyhumansai/openhuman record combines a 8.6/10 composite score with separate popularity (1.0), risk (conditional), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
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.