ReMe

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

Memory & Knowledge Python Grade D Listed Apache-2.0
Compare → Suggest correction
Listing state
Listed
HVTrust
42.4/100 · Grade D
Evidence coverage
Grade C · 2/5 signals
Last push
2026-07-27 · 2d ago
Recent change
New

Is ReMe safe? ReMe scores 42.4/100 (Grade D), ranked #353 of 441 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 100% of recent commits are signed; last pushed 2026-07-27. Every point is earned from checkable signals — never paid placement. How scoring works →

Quick Trust Read

Verdict
Thin or incomplete trust evidence. Review carefully before production use.
42.4/100 · Grade D
Strongest Signal
Maintenance
18.8/20
Weakest Signal
Safety / Integrity
5.0/25
What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-07-28
Newly Listed
First tracked at rank #353
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.
79.2
Activity sub-score · out of 100
42.4
HVTrust Score · out of 100
#353
Global Rank · of 441
#32

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 C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-07-29 00:30 UTC · Repo last pushed 2 days ago

Rank Trend

2026-07-28 2026-07-29

Activity & Reach

Stars
3.2k
Forks
279
Last Push
2026-07-27
2 days ago
Commits (4 wk)
55
Downloads (7d)
47,072
pypi
HN mentions (30d)
Open Issues
17
Rank Change
=
was #353

Analysis

HVTrust Dimensions

42.4 / 100 · 67.0% confidence
Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.0 / 25
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
Maintenance60% last-push freshness · 40% commit activity
18.8 / 20
Adoption60% stars · 40% downloads, log-scaled
14.7 / 20

Activity Inputs

79.2 / 100
StarsRepository reach
21.1 / 30
FreshnessLast push recency
24.7 / 25
ActivityRecent commits
21.8 / 25
CommunityFork signal
11.4 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
100%
of last 100 commits verified

Is ReMe safe?

Public trust evidence for ReMe is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
Does ReMe publish package provenance?
No published build provenance is currently detected for ReMe. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does ReMe have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for ReMe. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is ReMe actively maintained?
Actively maintained. The repository was pushed to within the last 2 day(s).
What license does ReMe use?
ReMe ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are ReMe's commits signed?
100% of the last 100 commits to ReMe are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

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.

Ranked neighbours in Memory & Knowledge

AI agent surface

Scored in HVTrust

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 Server Support
high confidence
Implemented
ReMe appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
Extensions
Extension based plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
high confidence
Match
Published package metadata matches the tracked repo
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain ReMe?

HVTrust scores ReMe 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

Listed 1
2026-07-28
Newly Listed
First tracked at rank #353

Embed Badge Badge guide for maintainers →

HVTrust 42.4 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/reme.svg)](https://hvtracker.net/agents/reme)
HTML:
<a href="https://hvtracker.net/agents/reme"><img src="https://hvtracker.net/badge/reme.svg" alt="HVTrust"></a>

Other agents in Memory & Knowledge

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON