agentmemory vs peft — Trust Score Comparison

Side-by-side trust comparison of agentmemory and peft. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

agentmemory — Nerq Trust Score 65.0/100 (B-). peft — Nerq Trust Score 75.0/100 (B+). peft leads by 10.0 points.

Detailed Metric Comparison

Detailed Score Analysis

Five-dimensional trust breakdown for agentmemory (pypi) and peft (pypi) from Nerq’s enrichment pipeline. All 5 dimensions scored on 0–100 scales, refreshed every 7 days, covering 5M+ indexed assets across 14 registries.

5-Dimension Breakdown

Security — agentmemory vs peft

Security aggregates dependency vulnerability scans, known CVE exposure, supply-chain hygiene, and adherence to security best practices. On this dimension agentmemory scores 90/100 (top-tier) while peft scores 90/100 (top-tier). The two are effectively tied on security (both at 90/100). The agentmemory figure is derived from its pypi registry footprint; the peft figure from pypi. For a pypi/pypi cross-registry pair, a security score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score above 85 implies a clean dependency tree with 0 critical CVEs in the last 90 days; 70–84 tolerates 1–2 medium-severity issues; below 55 usually flags 3+ unresolved advisories. Given the current 90/100 for agentmemory and 90/100 for peft, the combined midpoint is 90.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Maintenance — agentmemory vs peft

Maintenance captures commit cadence, issue turnaround, release frequency, and the health of the project’s active contributor base. On this dimension agentmemory scores 88/100 (top-tier) while peft scores 83/100 (strong). agentmemory leads by 5 points (88/100 vs 83/100), a moderate gap that matters when maintenance is a hard requirement. The agentmemory figure is derived from its pypi registry footprint; the peft figure from pypi. For a pypi/pypi cross-registry pair, a maintenance score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Scores above 80 correspond to release cadences of 30 days or less and median issue-response times under 7 days; below 50 often means no release in 180+ days. Given the current 88/100 for agentmemory and 83/100 for peft, the combined midpoint is 85.5/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Popularity — agentmemory vs peft

Popularity measures adoption signals—weekly downloads, dependent packages, GitHub stars, and cross-registry citation density. On this dimension agentmemory scores 15/100 (weak) while peft scores 90/100 (top-tier). peft leads by 75 points (90/100 vs 15/100), a spread wide enough that teams should weight popularity heavily when choosing. The agentmemory figure is derived from its pypi registry footprint; the peft figure from pypi. For a pypi/pypi cross-registry pair, a popularity score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 90+ indicates the top 1% of the registry by dependent count or weekly downloads; 70–89 is the top 10%; below 40 suggests fewer than 500 weekly downloads. Given the current 15/100 for agentmemory and 90/100 for peft, the combined midpoint is 52.5/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Quality — agentmemory vs peft

Quality evaluates documentation completeness, test coverage indicators, typed-API availability, and the presence of examples or tutorials. On this dimension agentmemory scores 65/100 (mid-band) while peft scores 65/100 (mid-band). The two are effectively tied on quality (both at 65/100). The agentmemory figure is derived from its pypi registry footprint; the peft figure from pypi. For a pypi/pypi cross-registry pair, a quality score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. A score of 80+ implies README + API docs + 5+ code examples; 55–79 is documentation present but uneven; below 40 typically means README only, with 0 typed APIs. Given the current 65/100 for agentmemory and 65/100 for peft, the combined midpoint is 65.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Community — agentmemory vs peft

Community looks at contributor breadth, issue-response participation, Stack Overflow answer volume, and third-party tutorial ecosystem. On this dimension agentmemory scores 35/100 (weak) while peft scores 35/100 (weak). The two are effectively tied on community (both at 35/100). The agentmemory figure is derived from its pypi registry footprint; the peft figure from pypi. For a pypi/pypi cross-registry pair, a community score above 70 typically reads as production-ready and scores below 50 warrant a second review before adoption. Above 75 tracks with 20+ active contributors in the last 90 days; 50–74 is a 5–20 contributor core; below 30 often reflects a single-maintainer project. Given the current 35/100 for agentmemory and 35/100 for peft, the combined midpoint is 35.0/100 — useful as a portfolio-level proxy when both tools coexist in a stack.

Score-Card Summary

Across the 5 measured dimensions, agentmemory averages 58.6/100 (range 15–90) and peft averages 72.6/100 (range 35–90). agentmemory leads on 1 dimensions, peft leads on 1, with 3 tied.

Scoring scale: 0–39 weak, 40–54 below-average, 55–69 mid-band, 70–84 strong, 85–100 top-tier. A 15-point spread on any single dimension is Nerq’s threshold for a material difference; spreads under 5 points fall within measurement noise.

Head-to-Head Deltas

Combined 5-dimension average: agentmemory 58.6/100, peft 72.6/100, overall spread -14.0 points.

• Max spread: 75 points on Popularity
• Min spread: 0 points on Security
• Dimensions within 10 points: 4/5
• agentmemory above 70 on: 2/5 dimensions
• peft above 70 on: 3/5 dimensions

Detailed Analysis

Security

agentmemory leads on security with a score of 0/100 compared to peft's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.

Maintenance & Activity

agentmemory demonstrates stronger maintenance activity (1/100 vs 0/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.

Documentation

agentmemory has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.

Community & Adoption

agentmemory has 5 GitHub stars while peft has 20,656. peft has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Switching from agentmemory to peft (or vice versa)

When migrating between agentmemory and peft, consider these factors:

1. API Compatibility: agentmemory (coding) and peft (other) serve different categories, so migration may require significant refactoring.
2. Security Review: Run a security audit after migration. Check the agentmemory safety report and peft safety report for known issues.
3. Testing: Ensure your test suite covers all integration points before switching in production.
4. Community Support: agentmemory has 5 stars and peft has 20,656. Larger communities typically mean better Stack Overflow answers and migration guides.

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Last updated: 2026-05-05 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.