Praxen

Baseline Agent Suite Health — Popularity & Freshness

GitHub prominence and development activity of the 12 targets in the frozen tests/baselines/v1.1-claude48/ set — the "is this a live, mainstream agent?" companion to the OWASP and RAISE coverage.

12targets
457kcombined stars
8live (freshness ≥ 3)
2026-07-11snapshot

Popularity & freshness by stars

Stars and commit cadence are a 2026-07-11 snapshot; the RAISE maturity is read live from the frozen baseline. Cadence = merged commits into the default branch over the trailing 4 / 12 / 52 weeks. Metrics are repo-level — for monorepo targets they cover more than the scanned component.

TargetSponsor★ StarsFresh 0–5Commits 4/12/52wkRAISEMaturityActivity
Hermes (Agent + Desktop) 213k 5.0 3301 / 10175 / 15140 2.85 Partial Top-tier, intensely active
OpenHands 80k 5.0 171 / 533 / 2316 2.30 Partial Live, heavy cadence
AutoGen Code Executor 60k 2.0 0 / 0 / 77 2.00 Partial Big but quiet ~3mo; successor framework
Aider 47k 3.0 0 / 17 / 196 2.00 Partial Maintained, decelerating
OpenAI Customer Service 28k 5.0 105 / 363 / 1227 1.60 Ad hoc SDK, live
Deep Agents CLI 26k 5.0 478 / 1170 / 2681 2.70 Partial Live, heavy cadence
uAgents 2k 3.5 1 / 23 / 114 2.00 Partial Recent touch, light cadence
CraftBot 373 5.0 107 / 409 / 1149 1.15 Ad hoc Small but very active
FinBot 65 1.5 0 / 0 / 73 0.90 Absent CTF demo, static by design
HelperBot 57 4.0 13 / 41 / 132 0.75 Absent Small, actively developed
yaah 19 2.0 0 / 3 / 39 2.30 Partial Personal harness, sporadic
Agentforce Help Agent 14 2.0 0 / 7 / 14 1.70 Ad hoc Vendor sample, low by design

Activity × maturity freshness vs. RAISE posture

Each dot is a target (size ∝ stars). x = development freshness (0–5), y = RAISE maturity (0–3). Dividers: live/dormant at freshness 3, Partial+/weaker at RAISE 2. The high-value cell for a security suite is bottom-right — live but under-enforced.

RAISE maturity →
live · weaker
live · stronger
dormant · weaker
dormant · stronger
hermes
openhands
autogen
aider
openai-cs
deepagents
uagents
craftbot
finbot
helperbot
yaah
agentforce
development freshness →

Popularity × maturity stars (log) vs. RAISE posture

Each dot is a target (size ∝ freshness). x = GitHub stars, log scale (10 → ~300k), y = RAISE maturity (0–3). Divider at 10k stars. As before, bottom-right — popular but weak — is the highest real-world blast radius.

RAISE maturity →
niche · stronger
mainstream · stronger
niche · weaker
mainstream · weaker
hermes
openhands
autogen
aider
openai-cs
deepagents
uagents
craftbot
finbot
helperbot
yaah
agentforce
GitHub stars (log) →

Methodology how these are scored

Stars / cadence: gh api repos/<owner>/<repo> and .../stats/participation, snapshot 2026-07-11. Freshness (0–5): blended from last-push recency and sustained cadence, capped for archived/dormant repos — 5 pushed ≤1wk with heavy cadence · 4 ≤1mo clearly active · 3 ≤2mo maintained · 2 ≤3–4mo or sporadic · 1 archived / >4mo near-zero · 0.5 ~10mo+ abandoned. Maturity: the frozen median-of-3 raise_posture.weighted_overall from tests/baselines/v1.1-claude48/. Full per-target rationale and the retired targets' record live in tests/baselines/ROSTER_HEALTH.md. For the security dimensions, see the OWASP and RAISE coverage pages.