updated 2026-08-06 05:00 UTC

Tongyi DeepResearch

Alibaba-NLP/DeepResearch

Tongyi Deep Research, the Leading Open-source Deep Research Agent

Research & Data Python Grade D Listed Apache-2.0
34.9/100
Rank #398 of 468
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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade C · 2/5 signals
Last push
2026-02-27 · 160d ago
Recent change
No recent signal change

Is Tongyi DeepResearch safe? Tongyi DeepResearch scores 34.9/100 (Grade D), ranked #398 of 468 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 1.5/10; 59% of recent commits are signed; last pushed 2026-02-27. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Research & Data

#17 Sotopia agents — 41.7 (D) → #18 Open Deep Research (dzhng) — 38.0 (D) → #20 Agent Laboratory — 30.7 (D) → #21 MindSearch — 26.6 (D) →

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-07-29
Rank Moved
Rank dropped 10 spots (#387 → #397)
2026-07-17
Provider Added
Runtime surface grew — new detected provider dependency: Multi-provider (LiteLLM)
2026-07-15
Rank Moved
Rank dropped 25 spots (#351 → #376)
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 1.5/10. 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.
Refresh maintenance signals The repo was last pushed 160 days ago. Fresh activity helps separate stable projects from stale ones.
Compare with another agent Get email alerts for Tongyi DeepResearch View Research & Data Report missing data
43.5
Activity sub-score · out of 100
#19
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 2026-08-06 05:00 UTC · Repo last pushed 160 days ago

Rank Trend

2026-07-05 2026-08-06

Activity & Reach

Stars
19.8k
Forks
1.5k
Last Push
2026-02-27
160 days ago
Commits (4 wk)
0
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
81
Rank Change
=
was #398

Analysis

HVTrust Dimensions vs Research & Data

34.9 / 100 · 100.0% confidence

Tongyi DeepResearch Research & Data average (24 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
4.8 / 25
3.2 below avg 8.0
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.9 below avg 11.7
Transparency50% declared license · 50% OSSF Scorecard
9.8 / 17
1.9 below avg 11.7
Maintenance60% last-push freshness · 40% commit activity
1.3 / 20
11.2 below avg 12.5
AdoptionLog-scaled stars · package downloads
10.3 / 20
1.5 below avg 11.8

Activity Inputs

43.5 / 100
StarsRepository reach
25.8 / 30
FreshnessLast push recency
2.8 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
14.8 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
1.5 / 10
OpenSSF Scorecard · scanned Jul 11, 2026 (refresh pending)
Signed Commits
59%
of last 100 commits verified
Binary-Artifacts 7
Branch-Protection 0
CI-Tests 0
CII-Best-Practices 0
Code-Review 0
Contributors 10
Dangerous-Workflow -1
Dependency-Update-Tool 0
Fuzzing 0
License 10
Maintained 0
Packaging -1
Pinned-Dependencies 2
SAST 0
Security-Policy 0
Signed-Releases -1
Token-Permissions -1
Vulnerabilities 0

Is Tongyi DeepResearch safe?

Public trust evidence for Tongyi DeepResearch 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 Tongyi DeepResearch publish package provenance?
No published build provenance is currently detected for Tongyi DeepResearch. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Tongyi DeepResearch have an OpenSSF Scorecard?
Tongyi DeepResearch has an OpenSSF Scorecard score of 1.5/10. 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 Tongyi DeepResearch actively maintained?
Slowing down. Last push was 160 days ago — keep an eye on whether activity resumes.
What license does Tongyi DeepResearch use?
Tongyi DeepResearch ships under Apache-2.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Tongyi DeepResearch's commits signed?
59% of the last 100 commits to Tongyi DeepResearch 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: API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
Extensions
Extension based plugin/integration 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
How this surface has changed

Detected changes to Tongyi DeepResearch'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.

2026-07-17
Provider Added
Runtime surface grew — new detected provider dependency: Multi-provider (LiteLLM)

Maintain Tongyi DeepResearch?

For maintainers

HVTrust scores Tongyi DeepResearch 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 6Listed 1HVTrust 1Scorecard 1Surface 1
2026-07-29
Rank Moved
Rank dropped 10 spots (#387 → #397)
2026-07-17
Provider Added
Runtime surface grew — new detected provider dependency: Multi-provider (LiteLLM)
2026-07-15
Rank Moved
Rank dropped 25 spots (#351 → #376)
2026-07-14
Rank Moved
Rank dropped 20 spots (#331 → #351)
2026-07-13
Rank Moved
Rank dropped 36 spots (#295 → #331)
2026-06-24
Scorecard Added
OSSF Scorecard: 1.5/10
2026-06-24
Rank Moved
Rank rose 10 spots (#297 → #287)
2026-06-24
HVTrust Changed
HVTrust up 21.5pts (18.4 → 39.9)
2026-06-21
Rank Moved
Rank dropped 29 spots (#263 → #292)
2026-06-20
Newly Listed
First tracked at rank #263
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 v4.2 · Raw JSON