updated 2026-09-06 15:02 UTC

Deep Agents

langchain-ai/deepagents

The batteries-included agent harness.

Agent Frameworks Python Grade B Listed MIT
76.5/100
Rank #171 of 1320
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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
2026-09-06 · 0d ago
Recent change
Rank +3

Is Deep Agents safe? Deep Agents scores 76.5/100 (Grade B), ranked #171 of 1320 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 5.4/10; 100% of recent commits are signed; last pushed 2026-09-06. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

#13 CrewAI — 80.4 (A) → #14 Agent Governance Toolkit — 76.8 (B) → #16 DSPy — 75.7 (B) → #17 Microsoft Agent Framework — 72.9 (B) →

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-09-05
Rank Moved
Rank dropped 39 spots (#141 → #180)
2026-09-02
Tool Surface Changed
Detected tool/plugin surface changed: declared → extension-based
2026-09-02
Rank Moved
Rank dropped 21 spots (#114 → #135)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 5.4/10. 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
93.6
Activity sub-score · out of 100
#15
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 →

Signals refreshed 2026-09-06 15:02 UTC · Repo last pushed today

Rank Trend

2026-08-11 2026-09-06

Activity & Reach

Stars
29.1k
Forks
4.1k
Last Push
2026-09-06
today
Commits (4 wk)
453
Downloads (7d)
1,061,877
pypi
HN mentions (30d)
—
Open Issues
143
Rank Change
▲9
was #180

Analysis

HVTrust Dimensions vs Agent Frameworks

76.5 / 100 · 100.0% confidence

Deep Agents Agent Frameworks average (119 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
11.8 / 25
2.2 above avg 9.6
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.8 below avg 11.6
Transparency50% declared license · 50% OSSF Scorecard
13.1 / 17
0.8 above avg 12.3
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
6.1 above avg 13.9
AdoptionLog-scaled stars · package downloads
18.7 / 20
7.5 above avg 11.2

Activity Inputs

93.6 / 100
StarsRepository reach
26.8 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
16.8 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
5.4 / 10
OpenSSF Scorecard · scanned Sep 6, 2026
Signed Commits
100%
of last 100 commits verified
Binary-Artifacts 10
Branch-Protection 4
CI-Tests 10
CII-Best-Practices 0
Code-Review 8
Contributors 10
Dangerous-Workflow 0
Dependency-Update-Tool 10
Fuzzing 0
License 10
Maintained 10
Packaging 10
Pinned-Dependencies 5
SAST 5
Security-Policy 9
Signed-Releases 0
Token-Permissions 0
Vulnerabilities 4

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 5.4/10. 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
Extensions
Extension based plugin/integration surface detected.
  • search
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
How this surface has changed

Detected changes to Deep Agents's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-02
Tool Surface Changed
Detected tool/plugin surface changed: declared → extension-based

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
Rank 5HVTrust 1Grade 1Scorecard 1Surface 1
2026-09-05
Rank Moved
Rank dropped 39 spots (#141 → #180)
2026-09-02
Tool Surface Changed
Detected tool/plugin surface changed: declared → extension-based
2026-09-02
Rank Moved
Rank dropped 21 spots (#114 → #135)
2026-08-31
Rank Moved
Rank dropped 13 spots (#97 → #110)
2026-08-26
Rank Moved
Rank dropped 10 spots (#79 → #89)
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)
GitHub → PyPI: deepagents

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 76.5 Grade B
Markdown:
[![HVTrust](https://hvtracker.net/badge/deep-agents.svg)](https://hvtracker.net/agents/deep-agents)
HTML:
<a href="https://hvtracker.net/agents/deep-agents"><img src="https://hvtracker.net/badge/deep-agents.svg" alt="HVTrust"></a>

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