6 Best AgentOps Alternatives in 2026 (Open Source)

AgentOps — Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and Ca. vs LangSmith/Langfuse: purpose-built for AI agents with session replay, execution graphs, and native multi-framework support (CrewAI, AG2, OpenAI Agents SDK)

These 6 open-source tools do the same job. They are ordered by how closely they match AgentOps, with live GitHub data so you can see which projects are actively maintained.

1. 1. Langfuse

   🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

   What sets it apart: Unlike LangSmith (LangChain-specific) or Helicone (proxy-based), Langfuse is fully open-source, framework-agnostic, and self-hostable, combining tracing, prompt management, evaluations, and datasets in a single platform built on ClickHouse for scalable production use.

   Best for: Teams operating production LLM applications who need tracing, prompt management, and evaluation in one platform; Organizations requiring self-hosted LLM observability for data privacy compliance

   ⭐ 35.2kAgentOps vs Langfuse →Full profile →

2. 2. helicone

   🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

   What sets it apart: vs LangSmith/Braintrust: Combined AI Gateway + Observability platform with one-line integration, generous free tier, unified access to 100+ models, and built-in prompt versioning - Y Combinator backed

   Best for: Teams needing unified observability across multiple LLM providers; Production AI apps requiring cost tracking and prompt management; Developers wanting a single API gateway for 100+ models

   ⭐ 6.2kAgentOps vs helicone →Full profile →

3. 3. OpenLLMetry

   Open-source observability for your GenAI or LLM application, based on OpenTelemetry

   What sets it apart: The OTel-native LLM observability standard — semantic conventions now part of official OpenTelemetry, with widest LLM provider + observability destination coverage

   Best for: Teams needing LLM observability in existing OTel infrastructure; Production LLM apps requiring cost/latency monitoring; Organizations using multiple LLM providers

   ⭐ 7.5kAgentOps vs OpenLLMetry →Full profile →

4. 4. OpenLIT

   Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers,

   What sets it apart: Most comprehensive open-source AI engineering platform — combines observability, 11 evaluation types, rule engine, prompt hub, secret vault, playground, and fleet management in one tool

   Best for: Teams wanting all-in-one LLM platform (observability + eval + prompts + secrets); Organizations needing self-hosted AI engineering platform; Multi-language teams (Python/TS/Go SDK support)

   ⭐ 2.8kAgentOps vs OpenLIT →Full profile →

5. 5. Opik

   Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

   What sets it apart: Full-lifecycle LLM platform combining tracing, evaluation, and optimization — uniquely includes Agent Optimizer and Guardrails alongside observability, unlike trace-only tools like LangSmith

   Best for: Teams needing end-to-end LLM observability from development to production; Automated LLM evaluation and quality assurance in CI/CD pipelines

   ⭐ 22.3kAgentOps vs Opik →Full profile →

6. 6. langwatch

   The platform for LLM evaluations and AI agent testing

   What sets it apart: Unified platform combining agent simulation, evaluation, observability, and prompt optimization with OpenTelemetry-native design — vs separate tools for tracing (Langfuse), eval (DeepEval), and prompt management

   Best for: Teams wanting eval + observability + prompt management in one tool; Agent simulation testing before production deployment; Organizations needing OpenTelemetry-native LLM observability

   ⭐ 4.9kAgentOps vs langwatch →Full profile →