Personal Model
Evidence is still being collected. Personal Model hasn't had its first full check yet: 0 of the 5 signals its score is built from are in (still to fetch: GitHub activity, OSSF Scorecard, package downloads, provenance and signed commits), so the score is provisional and no grade is shown.
Compare Personal Model
How does it stack up against its Memory & Knowledge neighbours?
Pick any agent to compare →How Personal Model compares in Memory & Knowledge
- #47 ByteRover CLI 41.1 +41.1
- #48 LycheeMemory 41.1 +41.1
- #49 Tigerless Agent Memory 25.2 +25.2
- #50 VoiceMem 0.0 ±0
Bars show each HVTrust score; the tick marks Personal Model’s 0.0.
Where the 0.0 comes from
HVTrust dimensions vs the Memory & Knowledge average
0.0 / 100 · provisionalPersonal Model Memory & Knowledge average (51 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →
Activity & Reach
Analysis
Activity Inputs
0.0 / 100Common questions about Personal Model
Does Personal Model publish package provenance?
Does Personal Model have an OpenSSF Scorecard?
Is Personal Model actively maintained?
What license does Personal Model use?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Maintain Personal Model?
For maintainers
HVTrust scores Personal Model from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/personal-model)
<a href="https://hvtracker.net/agents/personal-model"><img src="https://hvtracker.net/badge/personal-model.svg" alt="HVTrust"></a>
Other agents in Memory & Knowledge
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON