Compare · 2 of 43 tracked · updated Sep 19, 2026

Hermes Agent vs. TinyAGI

tinted rows differ across the selection — neutral rows matchHermes Agent vs OpenClawTinyAGI vs OpenClaw

Hermes Agent

TinyAGI

Pick
Stars247k3.6k
Memory85 MB90 MB
LanguagePythonTypeScript
LicenseMITMIT
Last commitSep 17, 2026Mar 30, 2026
Release cadence~4 days~2 days
Sentiment82 / 10045 / 100
Security score72 / 10055 / 100

Verdict

Hermes Agent · High ConfidenceTinyAGI · Good Confidence

Hermes Agent has the stronger current case.

Backed by multiple direct signals plus supporting context. AI decision layer last reviewed Sep 7, 2026. AI decision layer last reviewed Sep 7, 2026.

Choose Hermes Agent if

  • you need clearer onboarding and stronger maturity signals
  • you depend on integrations, skills, or extension headroom
  • you specifically need users wanting a persistent agent with long-term memory and skill learning

Neither if

Nothing in the current evidence rules both of them out.

Choose TinyAGI if

  • you want faster setup and less operational overhead
  • you specifically need solo founders wanting a team of coordinated ai agents
  • you specifically need users who want a visual dashboard for agent teams

Decision layer

These rows combine measured repo signals with structured AI fields when available. When the structured fields are still empty, the fallback is repo evidence — made visible via the source tag.

Setup DifficultyModerate setupLow friction

How much friction you absorb during onboarding and day-one deployment.

TinyAGI leads

Structured field says setup is manageable but not instant.

AI field

Structured field says setup stays lightweight.

AI field

Privacy PostureMixed postureMixed posture

Whether the defaults look safer for local, sensitive, or regulated workflows.

Close call

Structured field says privacy depends on configuration choices.

AI field

Structured field says privacy depends on configuration choices.

AI field

Cloud DependencyOptional cloudOptional cloud

How much the product appears to rely on hosted services or external APIs.

Close call

Structured field says cloud use is a choice, not a hard requirement.

AI field

Structured field says cloud use is a choice, not a hard requirement.

AI field

Docs QualityStronger signalsDeveloping signals

An estimate based on release cadence, narrative depth, and public maturity signals.

Hermes Agent leads

Estimated from maturity, public traction, and recent release activity.

Repo fallback

There is enough public context to onboard, but not premium certainty.

Repo fallback

Team FitTeam-readyTeam-ready

Whether the workflow looks more solo-first or ready for shared operations.

Close call

Structured field says multi-user workflows are supported.

AI field

Structured field says multi-user workflows are supported.

AI field

Plugin MaturityStrong ecosystemEmerging ecosystem

How much extension, skill, or integration headroom is visible today.

Hermes Agent leads

Structured field says extensions and integrations are mature.

AI field

Structured field says integrations are promising but still growing.

AI field

Operational RiskManaged riskManaged risk

How much hardening and monitoring you are likely to own after launch.

Close call

Structured field says operations still need active oversight.

AI field

Structured field says operations still need active oversight.

AI field

Nominate a clone

Add a new Claw

Paste a GitHub repository and tell us why it belongs on the tracker.

Opens a prefilled issue on GitHub — every nomination is public. Comfortable with a PR? Adding the repo to projects.json is faster.