agentops vs openlit
agentops is much bigger: 5.8k stars against 2.7k. Over the days we have tracked them agentops moved +3.8% and openlit +9.5%, so openlit is growing faster right now.
openlit leads on context depth and noise control. agentops does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Provides end-to-end agent session replays, LLM cost tracking and debugging across many agent frameworks with minimal instrumentation.
- Stars
- 5.8k
- Tracked growth
- +3.8%
- Maturity
- ●●●●●
- Last commit
- 72d ago
- Language
- Python
- License
- MIT
- Cost to run
- AgentOps API key for hosted dashboard; can self-host
OpenLIT provides an OpenTelemetry-native, open-source AI observability platform combining traces, built-in evaluations, a rule engine, prompt management and guardrails in one stack.
- Stars
- 2.7k
- Tracked growth
- +9.5%
- Maturity
- ●●●●●
- Last commit
- 1d ago
- Language
- TypeScript
- License
- Apache-2.0
- Cost to run
- Self-hosted; you pay for LLM/provider API usage.
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | agentops | openlit |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Runtime tracing | ●●●●● Full-stack traces |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● None mentioned | ●●●●● Rule engine filters |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Config options | ●●●●● Rules & prompts |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own-key | ●●●●● Bring-your-key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● API key + init | ●●●●● Docker + config |
Which one to pick
Pick agentops if…
Easy integration — one-line initialization (agentops.init) yields session replays, LLM call tracking, and cost analytics across multiple agent frameworks, with an option to self-host.
Pick openlit if…
Open-source, self-hostable — choose OpenLIT when you need vendor-neutral, full-stack LLM observability plus integrated evaluations, rule-driven guardrails, and prompt/version management.
- Context depth: Full-stack traces (5/5 against 1/5)
- Noise control: Rule engine filters (3/5 against 1/5)
What people want from each one
AgentOps-AI/agentops
openlit/openlit
Hacker News: Show HN: OpenLIT – Open-Source LLM Observability with OpenTelemetry drew 62 points and 22 comments.
Questions people ask
Is agentops better than openlit?
openlit leads on context depth and noise control. agentops does not take any axis by a clear margin. agentops is worth picking when easy integration — one-line initialization (agentops.init) yields session replays, LLM call tracking, and cost analytics across multiple agent frameworks, with an option to self-host.
Which of agentops and openlit keeps my code private?
agentops: Self-hostable (4/5). openlit: Self-hostable (4/5).
What does each one cost to run?
agentops: AgentOps API key for hosted dashboard; can self-host. openlit: Self-hosted; you pay for LLM/provider API usage..
Full profiles: AgentOps-AI/agentops and openlit/openlit. Everything else in Observability & tracing.