aeon

The most autonomous agent framework. No approval loops. No babysitting. Configure once, forget forever.

Agent Frameworks TypeScript Grade D Listed MIT
25.2/100
Rank #426 of 468
Compare aeon

Thin or incomplete trust evidence. Review carefully before production use.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-08-03 · 1d ago
Recent change
New

Is aeon safe? aeon scores 25.2/100 (Grade D), ranked #426 of 468 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 88% of recent commits are signed; last pushed 2026-08-03. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-03
Newly Listed
First tracked at rank #426
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.
77.4
Activity sub-score · out of 100
#87

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 →

Signals refreshed 2026-08-04 02:30 UTC · Repo last pushed yesterday

Rank Trend

2026-08-03 2026-08-04

Activity & Reach

Stars
590
Forks
214
Last Push
2026-08-03
yesterday
Commits (4 wk)
202
Downloads (7d)
HN mentions (30d)
Open Issues
0
Rank Change
=
was #426

Analysis

HVTrust Dimensions vs Agent Frameworks

25.2 / 100 · 50.0% confidence

aeon Agent Frameworks average (103 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
4.4 / 25
4.6 below avg 9.0
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.9 below avg 11.7
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
3.5 below avg 12.0
Maintenance60% last-push freshness · 40% commit activity
19.9 / 20
5.3 above avg 14.6
AdoptionLog-scaled stars · package downloads
6.7 / 20
5.2 below avg 11.9

Activity Inputs

77.4 / 100
StarsRepository reach
16.6 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
10.8 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
88%
of last 100 commits verified

Is aeon safe?

Public trust evidence for aeon 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 aeon publish package provenance?
No published build provenance is currently detected for aeon. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does aeon have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for aeon. 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 aeon actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does aeon use?
aeon ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are aeon's commits signed?
88% of the last 100 commits to aeon 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.

AI agent surface

MCP, providers, tool 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
aeon appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
Marketplace
Marketplace plugin/integration surface detected.
Detailed evidence is not shown in the public view.
Package Provenance Drift
N/A
No package source configured
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

Maintain aeon?

For maintainers

HVTrust scores aeon 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
Listed 1
2026-08-03
Newly Listed
First tracked at rank #426

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 25.2 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/aeon.svg)](https://hvtracker.net/agents/aeon)
HTML:
<a href="https://hvtracker.net/agents/aeon"><img src="https://hvtracker.net/badge/aeon.svg" alt="HVTrust"></a>

Other agents in Agent Frameworks

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