AutoGen

Name: AutoGen
Rating: 2.99 (1 reviews)
Author: Chi Wang & Qingyun Wu

#1697 · by Chi Wang & Qingyun Wu

framework

2.99/ 5.00

cautionBeta

Score capped to 2.99 (raw score: 3.55) due to insufficient data in one or more signals. The composite is held at caution level until all signals can be fully evaluated.

May 19, 2026 at 2:03 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%3.0

64 dependencies (moderate)

via npm / PyPI

Supply Chain30%5.0

Supply chain analyzed, no transitive CVEs

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 4 checks

via Health checks

Response Latency25%5.0

p99: 22ms, p50: 8ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/4)

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

1 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Stars100%3.0

4,573 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (apache-2.0)

via GitHub

Documentation25%4.0

Good README (>2000 bytes with examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

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%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

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

Multi-agent conversation framework by Microsoft for building complex AI agent systems

Package Availability (30d)

100.00%

p50: 8ms · p99: 22ms

Avg Latency

11ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Transparency & Compliance3/5 passed