auto-deep-researcher-24x7
🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Is auto-deep-researcher-24x7 safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare auto-deep-researcher-24x7
How does it stack up against its Research & Data neighbours?
Pick any agent to compare →In detail: auto-deep-researcher-24x7 scores 36.4/100 (Grade D), ranked #1275 of 1378 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 4.3/10; recent commits are unsigned; last pushed 2026-06-03. Every point is earned from checkable signals — never paid placement. How scoring works →
How auto-deep-researcher-24x7 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.
- Raise the OSSF Scorecard from 4.3 to 9.0lowest checks: CII-Best-Practices 0, Code-Review 0, Contributors 0 +9.7 → 46.1 D · #25 of 38
- Sign every commit0% signed today +5.0 → 41.4 D · #25 of 38
Chain of custody
Scanners check what the code says. This traces who ships auto-deep-researcher-24x7 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.
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Source Unsigned
github.com/Xiangyue-Zhang/auto-deep-researcher-24x7, Apache-2.0, last pushed 2026-06-03. None of the last 100 commits carry a verified signature, so no change traces to a verified identity.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 4.3/10 (scanned Oct 20, 2026). The checks that decide who can get a change released:
- Code Review0
- Branch Protection3
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions10
- Pinned Dependencies0
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 3CI-Tests 10CII-Best-Practices 0Code-Review 0Contributors 0Dangerous-Workflow 10Dependency-Update-Tool 0Fuzzing 0License 10Maintained 0Packaging -1Pinned-Dependencies 0SAST 0Security-Policy 0Signed-Releases -1Token-Permissions 10Vulnerabilities 10 -
Published packages None
No registry package. auto-deep-researcher-24x7 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 auto-deep-researcher-24x7.
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 auto-deep-researcher-24x7’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.
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 auto-deep-researcher-24x7 compares in Research & Data
- #26 Sotopia agents 38.7 +2.3
- #27 deep-research 37.0 +0.6
- #28 auto-deep-researcher-24x7 36.4 this agent
- #29 FinnewsHunter 36.4 ±0
- #30 Open Deep Research (dzhng) 34.9 −1.5
Bars show each HVTrust score; the tick marks auto-deep-researcher-24x7’s 36.4.
Where the 36.4 comes from
HVTrust dimensions vs the Research & Data average
36.4 / 100 · 100.0% confidenceauto-deep-researcher-24x7 Research & Data average (38 agents)
Quick Trust Read
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 →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
33.2 / 100Common questions about auto-deep-researcher-24x7
Does auto-deep-researcher-24x7 publish package provenance?
Does auto-deep-researcher-24x7 have an OpenSSF Scorecard?
Is auto-deep-researcher-24x7 actively maintained?
What license does auto-deep-researcher-24x7 use?
Are auto-deep-researcher-24x7's commits signed?
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
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 signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to auto-deep-researcher-24x7'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.
Maintain auto-deep-researcher-24x7?
For maintainers
HVTrust scores auto-deep-researcher-24x7 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
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/auto-deep-researcher-24x7)
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Other agents in Research & Data
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