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Agents tracked: 258 Downloads (7d): 219M up 6.1% GitHub stars: 5.5M VS Code installs: 148M Releases (7d): 293 Agent status: 2 with issues Updated Oct 7, 2026

K8sGPT changelog: what's new each month

Every stable K8sGPT release summarised by month: the highlights, new features, improvements, fixes and anything you need to act on. 3 months covered; the current month updates daily.

September 2026

2 releases: 0.4.38 → 0.4.39

September brought resource-level analysis improvements and enhanced security posture. The month focused on finer-grained diagnostics and safer handling of Kubernetes objects.

Highlights

  • Analyze individual resources with the new --resource flag for targeted troubleshooting.
  • ValidatingAdmissionPolicy analyzer added to cover Kubernetes policy validation.
  • Resource names anonymised in event-derived failures for improved privacy.
  • Security updates to gRPC dependencies.
  • Improved event filtering to reduce false positives.

New

  • --resource flag to analyze a single resource instead of entire namespaces
  • ValidatingAdmissionPolicy analyzer for Kubernetes admission policy validation
  • Resource name anonymisation in event-derived failures

Improved

  • Service events now filtered by involved object kind to reduce noise
  • Namespace validation performed before running core analyzers
  • Duplicate reporting of unsupported scaleTargetRef and missing references eliminated
  • OpenAIClient guarded against empty completion choices

Fixed

  • Security vulnerability in google.golang.org/grpc updated to v1.83.2
  • Flag description corrected for --with-stat

August 2026

1 release: 0.4.37

August brought new AI provider support and stability improvements. The release focused on expanding integration options and fixing edge cases in Kubernetes resource analysis.

Highlights

  • Added Amazon Bedrock Mantle as a new AI provider with OpenAI-compatible API.
  • Integrated LiteLLM backend for broader language model support.
  • Fixed concurrency handling in custom analysis to prevent deadlocks and panics.
  • Improved robustness of Ingress and HTTPRoute analyzers against nil values.

New

  • Amazon Bedrock Mantle AI provider support
  • LiteLLM backend integration

Improved

  • Max-concurrency clamping in custom analysis to prevent deadlock conditions
  • Ingress analyzer now handles resource backends safely
  • HTTPRoute analyzer guards against nil backend port values
  • Deployment analyzer handles nil spec.replicas gracefully

Fixed

  • Panic when processing Ingress resources with resource-type backends
  • Nil pointer dereference in HTTPRoute backend port checking
  • Nil pointer dereference in deployment replica specification
  • Potential deadlock and panic in custom analysis with high concurrency

July 2026

2 releases: 0.4.35 → 0.4.36

July brought stability improvements and fixes across pod scheduling detection, gateway analyzers, and AI model integrations. Several dependency updates and bug fixes ensure more reliable cluster diagnostics.

Highlights

  • Added detection for SchedulingGated pods to improve visibility into pod scheduling issues.
  • Fixed handling of empty conditions in Gateway and GatewayClass analyzers to prevent crashes.
  • Corrected Vertex AI model IDs and fixed parameter handling for Anthropic models.
  • Protected cache operations against nil gRPC connections for more robust operation.
  • Resolved nil reference issues in Service endpoint analysis.

New

  • Detection for SchedulingGated pods to identify pods stuck in scheduling gates.

Improved

  • Gateway and GatewayClass analyzers now guard against empty conditions.
  • Service not-ready endpoints analysis now handles nil TargetRef safely.
  • Vertex AI integration corrected to use proper model identifiers without stray characters.
  • Anthropic model parameter handling now sends temperature or topp exclusively as required.
  • Cache Store and Load operations protected against nil gRPC connections.

Fixed

  • SchedulingGated pod detection was missing from pod analysis.
  • Crashes in Gateway/GatewayClass analyzers when conditions were empty.
  • Nil reference errors in Service not-ready endpoints handling.
  • Vertex AI model IDs contained stray asterisks causing authentication issues.
  • gRPC cache operations could fail on nil connections.

Summaries are written automatically from the official release notes (full changelog ↗); check the original notes before relying on a detail. K8sGPT: pricing, features and alternatives · All changelogs