Features
Self-hosted deployment on own infrastructure
Model-agnostic agent execution (Claude, GPT, Gemini, etc.)
Live per-step traces of tool calls, retrievals, reasoning
Replay and side-by-side comparison of agent runs
Audit-ready output with source citations
Real-time drift detection and alerts
Code Mode for up to 98% fewer tokens per run
Secure sandboxed execution for tool calls
Integration with MCP servers
Supports 50+ data types (emails, docs, spreadsheets, calls)
Open source and MIT-licensed
Air-gapped deployment support
Built on Agent-Verifiable Protocol (AVP)
Automatic model switching on provider downtime
On-prem and air-gapped deployment
Distributed tracing for LLM agents
Capture prompts, retrievals, tool calls, outputs
Human annotations on traces
Create datasets from traces
Run experiments to compare changes
OpenTelemetry-native instrumentation
Self-host locally, Docker, or Kubernetes
Cloud instances with free tier
Vendor agnostic: any model or framework
3M+ monthly downloads, 9k+ GitHub stars
