Overview
LangWatch is an open-source AI observability platform that led the effort to add native OpenTelemetry instrumentation to OpenClaw. The company collaborated with contributors from Orq and Red Hat to create semantic conventions specifically designed for agent workflows, making LangWatch the first platform with first-class OTEL support for AI agents.
The platform captures every tool call, LLM request, and agent session with built-in redaction for sensitive data, tamper-proof hash chains for audit trails, and integration with syslog and SIEM systems for enterprise compliance. LangWatch is designed for teams who need production-grade observability with complete data sovereignty through self-hosted deployment.
LangWatch stands out for its commitment to open standards. By using OpenTelemetry, teams can avoid vendor lock-in and integrate with existing observability infrastructure. The platform works with any OTEL-compatible backend, making it ideal for organizations with established monitoring systems.
Best For
Engineering teams using OpenTelemetry, organizations requiring self-hosting, regulated industries
Key Features
- Native OpenTelemetry GenAI spec support
- Self-hosted deployment with Docker/Kubernetes
- Automatic PII redaction and data filtering
- SIEM forwarding to Splunk, Datadog, or syslog
- Tamper-proof hash chains for audit compliance
- Agent behavior analysis and drift detection
- Standards-based tracing for vendor independence
- Rate limiting and quota management
Pros & Cons
Pros
- Open standards prevent vendor lock-in
- Complete data control with self-hosting
- Free unlimited usage
- Enterprise-grade security features
- Contributed OpenClaw OTEL instrumentation
Cons
- Requires technical setup (OTEL collectors, exporters)
- Self-hosting means infrastructure management
- Less polished UI than commercial platforms
- Steeper learning curve for non-technical users
Pricing
| Plan | Price | Features |
|---|---|---|
| Self-Hosted | Free | Unlimited, full features, complete data control |
