Swarms

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Multi-Agent Systems Python Grade D Listed Apache-2.0
23.9/100
Rank #1301 of 1328
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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-09-08 · 0d ago
Recent change
New

Is Swarms safe? Swarms scores 23.9/100 (Grade D), ranked #1301 of 1328 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; 100% of recent commits are signed; last pushed 2026-09-08. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Multi-Agent Systems

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-09-08
Newly Listed
First tracked at rank #1301
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.
87.1
Activity sub-score · out of 100
#36

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 2026-09-08 14:33 UTC · Repo last pushed today

Activity & Reach

Stars
7.1k
Forks
1.0k
Last Push
2026-09-08
today
Commits (4 wk)
137
Downloads (7d)
HN mentions (30d)
Open Issues
94
Rank Change
NEW

Analysis

HVTrust Dimensions vs Multi-Agent Systems

23.9 / 100 · 40.0% confidence

Swarms Multi-Agent Systems average (38 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.0 / 25
3.1 below avg 8.1
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
in line with avg 11.2
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
3.4 below avg 11.9
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
7.3 above avg 12.7
AdoptionLog-scaled stars · package downloads
9.3 / 20
0.5 below avg 9.8

Activity Inputs

87.1 / 100
StarsRepository reach
23.1 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
14.0 / 20

Supply Chain Trust

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

Is Swarms safe?

Public trust evidence for Swarms 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 Swarms publish package provenance?
No published build provenance is currently detected for Swarms. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Swarms have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Swarms. 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 Swarms actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Swarms use?
Swarms ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Swarms's commits signed?
100% of the last 100 commits to Swarms 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
Swarms appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
4 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Marketplace
Marketplace 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 Swarms?

For maintainers

HVTrust scores Swarms 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
2026-09-08
Newly Listed
First tracked at rank #1301

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 23.9 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/swarms.svg)](https://hvtracker.net/agents/swarms)
HTML:
<a href="https://hvtracker.net/agents/swarms"><img src="https://hvtracker.net/badge/swarms.svg" alt="HVTrust"></a>

Other agents in Multi-Agent Systems

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 v4.3 · Raw JSON