updated 2026-11-05 12:09 UTC

Open Deep Research (dzhng)

Repository by dzhng

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research…

Research & Data TypeScript Listed MIT

Is Open Deep Research (dzhng) safe? Thin or incomplete trust evidence. Review carefully before production use.

OSSF Scorecard 1.8 / 10
Provenance None
Signed commits 40%
Last push 208d ago
Compare Open Deep Research (dzhng)

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In detail: Open Deep Research (dzhng) scores 34.9/100 (Grade D), ranked #1295 of 1374 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 1.8/10; 40% of recent commits are signed; last pushed 2026-04-11. Every point is earned from checkable signals — never paid placement. How scoring works →

How Open Deep Research (dzhng) could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships Open Deep Research (dzhng) and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Partly signed

    github.com/dzhng/deep-research, MIT, last pushed 2026-04-11. 40% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.

  2. Review and release Weak

    OpenSSF Scorecard rates the repository's practices 1.8/10 (scanned Oct 31, 2026). The checks that decide who can get a change released:

    • Code Review3
    • Branch Protection0
    • Signed Releasesn/a
    • Dangerous Workflown/a
    • Token Permissionsn/a
    • Pinned Dependencies0
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 0
    CI-Tests 0
    CII-Best-Practices 0
    Code-Review 3
    Contributors 6
    Dangerous-Workflow -1
    Dependency-Update-Tool 0
    Fuzzing 0
    License 10
    Maintained 0
    Packaging -1
    Pinned-Dependencies 0
    SAST 0
    Security-Policy 0
    Signed-Releases -1
    Token-Permissions -1
    Vulnerabilities 0

  3. Published packages None

    No registry package. Open Deep Research (dzhng) is used from its repository, so what you run is whatever you check out: pin a release tag or commit.

Changes to this chain

No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of Open Deep Research (dzhng).

Evidence behind this score

Coverage C: 2 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads (missing)
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues Open Deep Research (dzhng)’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.

How Open Deep Research (dzhng) compares in Research & Data

  1. #29 deep-research 36.0 +1.1
  2. #30 auto-deep-researcher-24x7 35.4 +0.5
  3. #31 Open Deep Research (dzhng) 34.9 this agent
  4. #32 Tongyi DeepResearch 34.2 −0.7
  5. #33 STORM 33.4 −1.5

Bars show each HVTrust score; the tick marks Open Deep Research (dzhng)’s 34.9.

Where the 34.9 comes from

HVTrust dimensions vs the Research & Data average

34.9 / 100 · 100.0% confidence

Open Deep Research (dzhng) Research & Data average (38 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
4.3 / 25
4.4 below avg 8.7
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
1.1 below avg 11.9
Transparency50% declared license · 50% OSSF Scorecard
10.0 / 17
1.9 below avg 11.9
Maintenance60% last-push freshness · 40% commit activity
0 / 20
13.4 below avg 13.4
AdoptionLog-scaled stars · package downloads
10.3 / 20
in line with avg 10.8

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-10-09
Rank Moved
Rank dropped 11 spots (#1262 → #1273)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 1.8/10. 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.
Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.
Refresh maintenance signals The repo was last pushed 208 days ago. Fresh activity helps separate stable projects from stale ones.
Compare with another agent
View Research & Data Report missing data
41.2
Activity sub-score · out of 100
#31
In Research & Data

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 2026-11-05 12:09 UTC · Repo last pushed 208 days ago — may be stale

Rank Trend

2026-09-29 2026-11-05

Activity & Reach

Stars
19.9k
Forks
2.0k
Last Push
2026-04-11
208 days ago
Commits (4 wk)
0
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
74
Rank Change
=
was #1295

Analysis

Activity Inputs

41.2 / 100
StarsRepository reach
25.8 / 30
FreshnessLast push recency
0.0 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
15.4 / 20

Common questions about Open Deep Research (dzhng)

Public trust evidence for Open Deep Research (dzhng) 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 Open Deep Research (dzhng) publish package provenance?
No published build provenance is currently detected for Open Deep Research (dzhng). This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Open Deep Research (dzhng) have an OpenSSF Scorecard?
Open Deep Research (dzhng) has an OpenSSF Scorecard score of 1.8/10. 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 Open Deep Research (dzhng) actively maintained?
Stale. The repository has not been pushed to in 208 days. Consider whether the project is still being maintained.
What license does Open Deep Research (dzhng) use?
Open Deep Research (dzhng) ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Open Deep Research (dzhng)'s commits signed?
40% of the last 100 commits to Open Deep Research (dzhng) 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
None detected
No MCP server signal detected.
Detailed evidence is not shown in the public view.
External Service Dependencies
high confidence
2 detected
Public provider/service dependencies detected.
Credential signal: No explicit API-key/config marker detected.
Tool / Plugin Surface
None detected
No clear plugin system or broad tool 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 Open Deep Research (dzhng)?

For maintainers

HVTrust scores Open Deep Research (dzhng) 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 23
2026-10-09
Rank Moved
Rank dropped 11 spots (#1262 → #1273)
2026-09-30
Rank Moved
Rank dropped 10 spots (#1240 → #1250)
2026-09-23
Rank Moved
Rank dropped 660 spots (#565 → #1225)
2026-09-22
Rank Moved
Rank dropped 162 spots (#403 → #565)
2026-09-21
Rank Moved
Rank rose 820 spots (#1223 → #403)
2026-09-09
Rank Moved
Rank dropped 12 spots (#1192 → #1204)
2026-09-08
Rank Moved
Rank dropped 16 spots (#1176 → #1192)
2026-09-07
Rank Moved
Rank dropped 13 spots (#1163 → #1176)
2026-09-06
Rank Moved
Rank dropped 17 spots (#1146 → #1163)
2026-09-05
Rank Moved
Rank dropped 36 spots (#1110 → #1146)
2026-09-04
Rank Moved
Rank dropped 20 spots (#1090 → #1110)
2026-09-03
Rank Moved
Rank dropped 53 spots (#1037 → #1090)
2026-09-02
Rank Moved
Rank dropped 47 spots (#990 → #1037)
2026-09-01
Rank Moved
Rank dropped 44 spots (#946 → #990)
2026-08-31
Rank Moved
Rank dropped 34 spots (#912 → #946)
2026-08-30
Rank Moved
Rank dropped 43 spots (#869 → #912)
2026-08-29
Rank Moved
Rank dropped 46 spots (#823 → #869)
2026-08-28
Rank Moved
Rank dropped 26 spots (#797 → #823)
2026-08-27
Rank Moved
Rank dropped 22 spots (#775 → #797)
2026-08-26
Rank Moved
Rank dropped 101 spots (#674 → #775)
2026-08-16
Rank Moved
Rank dropped 16 spots (#646 → #662)
2026-08-10
Rank Moved
Rank dropped 26 spots (#619 → #645)
2026-08-08
Rank Moved
Rank dropped 221 spots (#396 → #617)
GitHub →

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 34.9 Grade D
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Other agents in Research & Data

Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON