LangGraph

registryPyPI

package namelanggraph

maintainerLangChain AI

LangGraph is a graph-based agent orchestration library built on LangChain Core, designed for stateful multi-agent workflows with explicit control flow. It models agent state as a directed graph with typed nodes and edges, supporting cycles, interrupts, and human-in-the-loop steps. It is used in production for long-running agent tasks that require persistent state across turns.

api usage

Checking LangGraph

langgraph 0.2.0 is a clean version with no known supply chain compromise. The response returns compromised: false with an empty sources array.

bash

curl "https://api.attestd.io/v1/check?product=langgraph&version=0.2.0" \
  -H "Authorization: Bearer YOUR_API_KEY"

json

{
  "product": "langgraph",
  "version": "0.2.0",
  "supported": true,
  "risk_state": "none",
  "supply_chain": {
    "compromised": false,
    "sources": [],
    "malware_type": null,
    "description": null,
    "advisory_url": null,
    "compromised_at": null,
    "removed_at": null
  },
  "last_updated": "2026-05-01T00:00:00Z"
}

attack surface

Why this package is monitored

Stateful agent orchestrators persist context across many turns and often hold credentials, session tokens, and intermediate tool outputs in memory. A malicious publish can read accumulated state across an entire agent session rather than a single request.

Attestd monitors langgraph using the following detection sources:

registry

Manually curated advisories in the Attestd registry, verified by a human analyst. Confidence 1.0.

osv

OSV.dev malicious-package advisories with IDs prefixed MAL-. Confidence 0.95.

pypi_yank

Versions yanked on PyPI with a security-related yanked_reason annotation. Confidence 0.80.

Supply chain overview All PyPI packages LangChain LangChain Core LangGraph Checkpoint Response fields