AgentsCheck builds tools that make AI agents reliable, testable, and production-ready.
We believe AI agents should be developed with the same rigor as software systems — with real tests, monitoring, analytics, and guardrails. Our open-source SDKs and tools make this effortless.
Capture every LLM call, tool invocation, and intermediate step — without modifying your agent logic.
Detect regressions with reproducible tests, structured evaluations, and LLM-graded scoring.
Full visibility into how your agents behave in the wild: performance, cost, errors, PII risk, and more.
- OpenAI
- Anthropic
- LangChain
- LangGraph
- Python agents + custom workflows
Frictionless tracing + testing for any Python-based agent. Automatic instrumentations for LangChain, LangGraph, OpenAI, and custom tools.
AI agents are increasingly complex:
- multi-step reasoning
- multiple tools
- external APIs
- unpredictable outputs
- evolving prompts & models
AgentsCheck gives developers confidence that their agents still work — today, tomorrow, and at scale.
- Add one decorator (
@agentscheck.agent()) - Run your agent normally
- All LLM/tool activity is captured
- View traces, tests, and evaluations in your dashboard
- Integrate with CI/CD for automated guardrails
No code changes to your agent logic. No vendor lock-in.
https://app.agentscheck.com View traces, test runs, evaluations, and production metrics.
https://github.com/agentscheck/agentscheck/issues
Make AI agents testable, understandable, and trustworthy.
We’re building the tooling layer that brings software engineering discipline to the new world of autonomous agents.