Is Deep Agents safe to use?

Deep Agents has an HVTrust score of 78.4/100 (Grade B), ranked #76 of 1283 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Deep Agents?

Deep Agents scores 78.4/100 on HVTracker's evidence-weighted HVTrust scale. It has 27.6k GitHub stars and is categorized under Agent Frameworks.

Deep Agents

langchain-ai/deepagents

The batteries-included agent harness.

Agent Frameworks Python Grade B Listed MIT

78.4/100

Rank #76 of 1283

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Strong public trust posture, backed by multiple independent signals.

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Listing state

Listed

Evidence coverage

Grade B · 3/5 signals

Last push

2026-08-11 · 0d ago

Recent change

No recent signal change

Is Deep Agents safe? Deep Agents scores 78.4/100 (Grade B), ranked #76 of 1283 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 6.1/10; 100% of recent commits are signed; last pushed 2026-08-11. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

#12 CrewAI — 81.7 (A) → #13 Threadplane — 79.3 (B) → #15 Agent Governance Toolkit — 76.2 (B) → #16 DSPy — 75.0 (B) →

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 6.1/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Compare with another agent Get email alerts for Deep Agents View Agent Frameworks Report missing data

93.4

Activity sub-score · out of 100

#14

In Agent Frameworks

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade B reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Activity & Reach

Stars

27.6k

Forks

3.9k

Last Push

2026-08-11

today

Commits (4 wk)

549

Downloads (7d)

1,438,800

pypi

HN mentions (30d)

—

Open Issues

160

Rank Change

was #76

Analysis

HVTrust Dimensions vs Agent Frameworks

78.4 / 100 · 100.0% confidence

Deep Agents Agent Frameworks average (118 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

12.6 / 25

4.5 above avg 8.1

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

0.8 below avg 11.6

Transparency50% declared license · 50% OSSF Scorecard

13.7 / 17

2.1 above avg 11.6

Maintenance60% last-push freshness · 40% commit activity

20.0 / 20

5.6 above avg 14.4

AdoptionLog-scaled stars · package downloads

18.9 / 20

7.5 above avg 11.4

Activity Inputs

93.4 / 100

StarsRepository reach

26.7 / 30

FreshnessLast push recency

25.0 / 25

ActivityRecent commits

25 / 25

CommunityFork signal

16.7 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

6.1 / 10

OpenSSF Scorecard · scanned Aug 11, 2026

Signed Commits

100%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 4

CI-Tests 10

CII-Best-Practices 0

Code-Review 4

Contributors 10

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 4

SAST 8

Security-Policy 9

Signed-Releases 0

Token-Permissions 0

Vulnerabilities 3

Is Deep Agents safe?

Public supply-chain signals for Deep Agents are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but Deep Agents carries less obvious unverified-evidence risk than projects with thin signals.

Does Deep Agents publish package provenance?

No published build provenance is currently detected for Deep Agents. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Deep Agents have an OpenSSF Scorecard?

Deep Agents has an OpenSSF Scorecard score of 6.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Deep Agents actively maintained?

Actively maintained. The repository was pushed to within the last 1 day(s).

What license does Deep Agents use?

Deep Agents ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Deep Agents's commits signed?

100% of the last 100 commits to Deep Agents 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

Deep Agents appears to expose MCP server capabilities.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

11 detected

Public provider/service dependencies detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

high confidence

Declared

Declared 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 Deep Agents?

For maintainers

HVTrust scores Deep Agents 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.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-06-10

Scorecard Added

OSSF Scorecard: 6.2/10

2026-06-10

Grade Changed

Trust grade D → B

2026-06-10

Rank Moved

Rank rose 121 spots (#171 → #50)

2026-06-10

HVTrust Changed

HVTrust up 34.2pts (41.8 → 76.0)

2026-06-08

Newly Listed

First tracked at rank #174

2026-06-07

Removed From Active Tracking

Removed from active tracking

2026-06-06

Newly Listed

First tracked at rank #173

GitHub → PyPI: deepagents

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For maintainers

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Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON