AgentOps is a developer-focused observability platform that traces agent runs and multi-agent interactions, provides session replay and timeline debugging, and tracks token usage and costs across multiple LLM providers via a Python SDK.
Published Oct 15, 2026
| Starting Price | Published entry-level and paid tiers; vendor-published pricing available | Published developer tier with pay-as-you-go; published per-seat paid tier and usage-based billing | Published core paid tier with usage billing; limited free/hobby tier available |
| Recommended for | Agent-centric debugging with session replay and timeline inspection; teams using multiple agent frameworks | Teams invested in LangChain/LangGraph seeking native tracing and eval integrations | Teams that prefer open-source and self-host-first observability with prompt/quality lifecycle features |
| Key Strength | Session replay and session-timeline debugging; broad framework integration (vendor-stated); cloud-hosted onboarding flows | Deep LangChain integration; combined observability and evaluation tooling | MIT-licensed open-source option with self-hosting capability; transparent unit-based model |
| Key Weakness | Sparse third-party reviews; publicly verifiable compliance artifacts not evident; self-hosting appears to be offered primarily via Enterprise plans | Potential cost/complexity at scale for some use cases; ecosystem focus on LangChain may limit broader framework coverage | Self-hosting requires operational resources (DB, ClickHouse, Redis, object storage); higher ops burden |
—