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OpenLIT vs ModelOp

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

OpenLIT compared with ModelOp
DetailOpenLIT logo OpenLITModelOp logo ModelOp
What it doesOpen-source agent harness engineering platform built on OpenTelemetry Enterprise AI system of record for governing and operationalizing AI at scale
StageStartup Established
Founded2024 2018
Based inIN US
Pricing modelOpen source Contact for pricing
PricingOpen source (Apache 2.0): Free self-hosted with unlimited usage. Enterprise Edition: Contact sales for pricing. Cloud: Coming soon. Not given
Key features
  • OpenTelemetry-native LLM tracing for every call, tool, and retrieval
  • Agent evals with LLM-as-a-judge and heuristics
  • Prompt Hub for versioning and deployment without code changes
  • Guardrails for prompt injection, jailbreak, and sensitive topic detection
  • Vault for encrypted API key management
  • OpenGround for side-by-side LLM model comparison
  • GPU monitoring for utilization, memory, temperature, and power
  • Coding agent observability for Claude Code, Codex, and Cursor
  • Cost tracking and latency monitoring
  • 56+ integrations with LLMs, frameworks, and vector databases
  • Centralized system of record across every model, solution, and agent
  • Automated workflows with governance embedded by design
  • Full portfolio visibility into cost, tokens, risk and ROI
  • Dynamic interoperability across 50+ technologies
  • Connective automation for IT, business, and AI owners
  • Agentic-powered framework for end-to-end AI lifecycle workflows
  • Operational intelligence across ML, GenAI, agentic and vendor AI
  • Audit-ready evidence mapped to every regulation and policy
What makes it different
  • Self-host free forever under Apache 2.0 with unlimited usage and no per-trace fees
  • OpenTelemetry-native traces exportable to Grafana, Datadog, or any OTLP backend
  • Zero-code instrumentation with eBPF controller, native SDKs, or GPU collector
  • Unified platform for traces, evals, guardrails, and prompts on the same production data
  • Full data ownership and no vendor lock-in with exportable OpenTelemetry traces
  • Brings ML, GenAI, and agentic AI to production 10× faster
  • System of record that unifies every AI asset in one place
  • Reduces time from idea to production to weeks at industrial scale
  • Enforces policy and governance at delivery time, not in committee
  • Operates above existing systems without replacing them
Community votes00
DR (Domain Rating by Ahrefs)63 −2 (down) since last check62 no change since last check
Trust Flow (Majestic)2313
Citation Flow (Majestic)3939
Referring domains (Majestic)483579

7 details filled in for both companies.

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