AI Agent Control Plane: Observability & Governance
Open-source AI infrastructure you self-host on your own hardware with your own keys
Stage
Not given
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Founded
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Based in
IN
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Pricing model
Freemium
Open source
Pricing
Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
Key features
Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
End-to-End OpenTelemetry-native tracing with full execution visibility
Accurate cost tracking across 2,500+ models independent of trace sampling
PII and sensitive data detection with optional redaction and hard blocks
Prompt registry with versioning, comparison, and production label protection
Datasets, scorers, and experiment framework with evidence-attached promotion
Framework-agnostic design supporting dynamic agent identity and multi-agent systems
Real-time health scores and dashboard for agent performance monitoring
Provider routing with LiteLLM
What makes it different
Only platform that enforces policies mid-execution instead of alerting after the fact
Zero runtime overhead guardrail detection using passive span processor inspection
Accurate cost totals at any sampling rate through OTEL metrics per LLM call
Framework-agnostic and portable through OpenTelemetry-native SDK design
Enterprise-grade security with SOC 2 Type II and RBAC built in
Complete ownership: your keys, hardware, data and audit logs stay under your control
No vendor lock-in: compose individual modules with your existing stack rather than replacing it
Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history
Every request traceable: one ID threads through all services with full audit logging
Traccia
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