updated 2026-10-09 08:15 UTC

LangGraph

Repository Website by langchain-ai

Build resilient agents.

Agent Frameworks Python Listed MIT

Is LangGraph safe? Strong public trust posture, backed by multiple independent signals.

OSSF Scorecard 7.1 / 10
Provenance Attested
Signed commits 100%
Last push yesterday
Advisories None known
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In detail: LangGraph scores 94.0/100 (Grade A), ranked #5 of 1371 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 7.1/10; 100% of recent commits are signed; no published advisory affects its latest release (@langchain/langgraph, langgraph); last pushed 2026-10-08. Every point is earned from checkable signals — never paid placement. How scoring works →

How LangGraph 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 LangGraph and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.

  1. Source Signed

    github.com/langchain-ai/langgraph, MIT, last pushed 2026-10-08. 100% of the last 100 commits carry a verified signature, so changes trace to a verified account.

  2. Review and release Strong

    OpenSSF Scorecard rates the repository's practices 7.1/10 (scanned Oct 6, 2026). The checks that decide who can get a change released:

    • Code Review10
    • Branch Protection4
    • Signed Releasesn/a
    • Dangerous Workflow10
    • Token Permissions0
    • Pinned Dependencies8
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 4
    CI-Tests 10
    CII-Best-Practices 0
    Code-Review 10
    Contributors 10
    Dangerous-Workflow 10
    Dependency-Update-Tool 10
    Fuzzing 0
    License 10
    Maintained 10
    Packaging 10
    Pinned-Dependencies 8
    SAST 10
    Security-Policy 9
    Signed-Releases -1
    Token-Permissions 0
    Vulnerabilities 0

  3. Published packages Partly attested

    • npm @langchain/langgraph Source link points to langchain-ai/langgraphjs, same owner Build provenance attested
    • PyPI langgraph Source link points back to this repo No build attestation

  4. What you install today No known advisories

    Latest releases checked: @langchain/langgraph 1.4.21, langgraph 1.2.14. No published advisory affects it (OSV, checked 2026-10-09).

Changes to this chain

  • 2026-08-07 Provenance drift warning cleared (now: partial)

Evidence behind this score

Coverage A: 4 of 5 independent evidence types found.

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

Verify this score yourself

Every build re-issues LangGraph’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 LangGraph compares in Agent Frameworks

  1. #2 Vercel AI SDK 96.2 +2.2
  2. #3 OpenAI Agents SDK (JS) 94.1 +0.1
  3. #4 LangGraph 94.0 this agent
  4. #5 OpenAI Agents SDK 91.5 −2.5
  5. #6 Strands Agents 90.5 −3.5

Bars show each HVTrust score; the tick marks LangGraph’s 94.0.

Where the 94.0 comes from

HVTrust dimensions vs the Agent Frameworks average

94.0 / 100 · 100.0% confidence

LangGraph Agent Frameworks average (129 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
21.4 / 25
11.9 above avg 9.5
Identity / Provenance60% listing status · 40% build provenance
18.0 / 18
6.4 above avg 11.6
Transparency50% declared license · 50% OSSF Scorecard
14.5 / 17
2.5 above avg 12.0
Maintenance60% last-push freshness · 40% commit activity
19.4 / 20
5.8 above avg 13.6
AdoptionLog-scaled stars · package downloads
20.0 / 20
9.2 above avg 10.8

Quick Trust Read

What Would Improve It
Improve transparency to lift the weakest part of the trust profile.
Maintainer Checklist
Keep signals current Trust posture is already in a healthy range. The main job is to keep provenance, maintenance, and public evidence fresh.
Compare with Haystack Get email alerts for LangGraph View Agent Frameworks Report missing data
94.0
Activity sub-score · out of 100
#4
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 A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-10-09 08:15 UTC · Repo last pushed yesterday

Rank Trend

2026-09-29 2026-10-09

Activity & Reach

Stars
42.9k
Forks
7.3k
Last Push
2026-10-08
yesterday
Commits (4 wk)
72
Downloads (7d)
11,996,778
pypi
HN mentions (30d)
7
Open Issues
568
Rank Change
=
was #5

Analysis

Activity Inputs

94.0 / 100
StarsRepository reach
27.8 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
23.2 / 25
CommunityFork signal
18.0 / 20

Common questions about LangGraph

Public supply-chain signals for LangGraph are strong: it has multiple independent trust indicators in place. This does not replace your own security review, but LangGraph carries less obvious unverified-evidence risk than projects with thin signals.
Does LangGraph publish package provenance?
Yes. LangGraph's package releases carry build provenance attestations, which cryptographically link the published package back to its source repository and CI workflow.
Does LangGraph have an OpenSSF Scorecard?
LangGraph has an OpenSSF Scorecard score of 7.1/10. 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 LangGraph actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does LangGraph use?
LangGraph ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are LangGraph's commits signed?
100% of the last 100 commits to LangGraph 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.

Compare LangGraph head-to-head

LangGraph vs Haystack → LangGraph vs Vercel AI SDK → LangGraph vs OpenAI Agents SDK (JS) →

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
None detected
No clear third-party provider dependency 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
medium confidence
Partial
Some package metadata matches; some source metadata is missing
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 LangGraph'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.

2026-08-07
Drift Warning Cleared
Provenance drift warning cleared (now: partial)

Maintain LangGraph?

For maintainers

HVTrust scores LangGraph 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
Drift 1
2026-08-07
Drift Warning Cleared
Provenance drift warning cleared (now: partial)
GitHub → Website → PyPI: langgraph npm: @langchain/langgraph

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 94.0 Grade A
Markdown:
[![HVTrust](https://hvtracker.net/badge/langgraph.svg)](https://hvtracker.net/agents/langgraph)
HTML:
<a href="https://hvtracker.net/agents/langgraph"><img src="https://hvtracker.net/badge/langgraph.svg" alt="HVTrust"></a>

Other agents in Agent Frameworks

Data sources
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON