Compare · 2 of 43 tracked · updated Aug 2, 2026

AstrBot vs. OpenFang

tinted rows differ across the selection — neutral rows match AstrBot vs OpenClaw OpenFang vs OpenClaw

AstrBot

OpenFang

Pick
Stars38k18k
Memory75 MB15 MB
LanguagePythonRust
LicenseAGPL-3.0Apache-2.0
Last commitAug 2, 2026May 12, 2026
Release cadence~4 days~3 days
Sentiment30 / 1000 / 100
Security score65 / 10085 / 100

Verdict

AstrBot · Good ConfidenceOpenFang · Good Confidence

AstrBot has the stronger current case.

Useful guidance with a reasonable evidence base behind it. AI decision layer last reviewed Aug 2, 2026. AI decision layer last reviewed Aug 2, 2026.

Choose AstrBot if

  • this will serve teammates, workspaces, or shared operations
  • you depend on integrations, skills, or extension headroom
  • you need clearer onboarding and stronger maturity signals

Neither if

Nothing in the current evidence rules both of them out.

Choose OpenFang if

  • you want faster setup and less operational overhead
  • you want to keep more of the workflow local or optional-cloud
  • you specifically need autonomous 24/7 agent workflows

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.

OpenFang 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 cloudMostly local

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

OpenFang leads

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

AI field

Derived from local-first or offline positioning.

Repo fallback

Docs QualityStronger signalsSolid signals

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

AstrBot leads

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

Repo fallback

Estimated from community size plus maintained project narrative.

Repo fallback

Team FitTeam-readySolo leaning

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

AstrBot leads

Structured field says multi-user workflows are supported.

AI field

Current evidence points more toward personal or builder-centric usage.

Repo fallback

Plugin MaturityStrong ecosystemEmerging ecosystem

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

AstrBot 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.