Langchain-Chatchat vs langgraph-mcp-agents — Trust Score Comparison

Name: Langchain-Chatchat vs langgraph-mcp-agents Trust Comparison
Creator: Nerq

Side-by-side trust comparison of Langchain-Chatchat and langgraph-mcp-agents. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

Langchain-Chatchat scores 59.4/100 (D) while langgraph-mcp-agents scores 61.8/100 (C) on the Nerq Trust Score. langgraph-mcp-agents leads by 2.4 points. Langchain-Chatchat is a communication tool with 37,301 stars. langgraph-mcp-agents is a infrastructure tool with 684 stars.

Langchain-Chatchat

59.4

Categorycommunication

Stars37,301

Sourcegithub

Security0

Compliance82

Maintenance1

Documentation0

langgraph-mcp-agents

61.8

Categoryinfrastructure

Stars684

Sourcemcp_registry

Compliance80

Maintenance0

Documentation0

Detailed Metric Comparison

Metric	Langchain-Chatchat	langgraph-mcp-agents
Trust Score	59.4/100	61.8/100
Grade	D	C
Stars	37,301	684
Category	communication	infrastructure
Security	0	N/A
Compliance	82	80
Maintenance	1	0
Documentation	0	0
EU AI Act Risk	minimal	N/A
Verified	No	No

Verdict

langgraph-mcp-agents leads with a trust score of 61.8/100 compared to Langchain-Chatchat's 59.4/100 (a 2.4-point difference). However, Langchain-Chatchat has stronger community adoption (37,301 vs 684 stars). Both agents should be evaluated based on your specific requirements.

Detailed Analysis

Security

Security scores measure dependency vulnerabilities, CVE exposure, and security practices. Langchain-Chatchat scores 0 and langgraph-mcp-agents scores N/A on this dimension.

Maintenance & Activity

Langchain-Chatchat demonstrates stronger maintenance activity (1/100 vs 0/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.

Documentation

Langchain-Chatchat has better documentation (0/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.

Community & Adoption

Langchain-Chatchat has 37,301 GitHub stars while langgraph-mcp-agents has 684. Langchain-Chatchat has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose Langchain-Chatchat if you need:

More actively maintained with faster release cadence
Larger community (37,301 vs 684 stars)

Choose langgraph-mcp-agents if you need:

Higher overall trust score — more reliable for production use

Switching from Langchain-Chatchat to langgraph-mcp-agents (or vice versa)

When migrating between Langchain-Chatchat and langgraph-mcp-agents, consider these factors:

API Compatibility: Langchain-Chatchat (communication) and langgraph-mcp-agents (infrastructure) serve different categories, so migration may require significant refactoring.
Security Review: Run a security audit after migration. Check the Langchain-Chatchat safety report and langgraph-mcp-agents safety report for known issues.
Testing: Ensure your test suite covers all integration points before switching in production.
Community Support: Langchain-Chatchat has 37,301 stars and langgraph-mcp-agents has 684. Larger communities typically mean better Stack Overflow answers and migration guides.

Langchain-Chatchat Safety Report langgraph-mcp-agents Safety Report Langchain-Chatchat Alternatives langgraph-mcp-agents Alternatives

Frequently Asked Questions

Which is safer, Langchain-Chatchat or langgraph-mcp-agents?

Based on Nerq's independent trust assessment, Langchain-Chatchat has a trust score of 59.4/100 (D) while langgraph-mcp-agents scores 61.8/100 (C). The 2.4-point difference suggests langgraph-mcp-agents has a stronger trust profile. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.

How do Langchain-Chatchat and langgraph-mcp-agents compare on security?

Langchain-Chatchat has a security score of 0/100 and langgraph-mcp-agents scores N/A/100. There is a notable difference in their security assessments. Langchain-Chatchat's compliance score is 82/100 (EU risk: minimal), while langgraph-mcp-agents's is 80/100 (EU risk: N/A).

Should I use Langchain-Chatchat or langgraph-mcp-agents?

The choice depends on your requirements. Langchain-Chatchat (communication, 37,301 stars) and langgraph-mcp-agents (infrastructure, 684 stars) serve different use cases. On trust, Langchain-Chatchat scores 59.4/100 and langgraph-mcp-agents scores 61.8/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (1 vs 0).

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Last updated: 2026-11-05 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.