deepagents

Name: deepagents
Rating: 4.64 (1 reviews)
Author: LangChain

#6 · by LangChain

llm reasoning tool-use vision 200k context

4.64/ 5.00

trustedBeta

Mar 20, 2026 at 6:01 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

3 of 3 sub-signals with data

Known CVEs40%5.0

No known CVEs

via OSV.dev

Dependency Health30%5.0

7 dependencies (minimal)

via npm / PyPI

Supply Chain30%4.8

47 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%4.5

99.70% over 660 checks

via Health checks

Response Latency25%4.0

p99: 280ms, p50: 31ms

via Health checks

Error Rate20%4.0

0.30% error rate (2/660)

via Health checks

Incident History20%2.0

4 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

3 of 4 sub-signals with data

Commit Recency37%5.0

via GitHub

Release Cadence31%5.0

via GitHub

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presence31%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

3 of 4 sub-signals with data

Download Volume43%4.0

612,138 weekly downloads

via npm / PyPI

GitHub Stars36%5.0

15,616 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trend21%5.0

+1685.4% week-over-week

via npm

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%5.0

SECURITY.md inherited from org .github repo

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%5.0

Internal: 5.0 (14 services), External: 4.5 (17186 followers, 38584 stars)

via Fabric index

Org Maturity30%4.5

Organization, 3.1 years old

via GitHub

Community Standing20%5.0

230 public repositories

via GitHub

Cross-Platform20%5.0

Present on 3 platform(s): github, npm, pypi

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

Deep Agents is an npm package published by LangChain under the MIT license for building controllable AI agents using LangGraph. The library demonstrates strong trust signals with no known vulnerabilities, established publisher backing from LangChain's 4-maintainer team, and consistent operational reliability. Dependencies include 7 packages primarily from the LangChain ecosystem, which concentrates supply chain risk within a single publisher's control.

Generated by Fabric AI · Mar 4, 2026 at 10:50 PM

Service Health (30d)

99.70%

p50: 31ms · p99: 280ms

Avg Latency

86ms

averaged across 30d health checks

Weekly Downloads

612.1k+999%

npm + PyPI weekly

Transparency & Compliance4/6 passed

✓