openllmetry and agentloom

One provides open-source observability for GenAI and LLM applications via OpenTelemetry, while the other offers deterministic LLM workflow orchestration with built-in observability and control, suggesting they are complementary: one focuses on general observability standards for LLMs, and the other integrates observability directly into its workflow management.

openllmetry
71
Verified
agentloom
39
Emerging
Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 13/25
Adoption 8/25
Maturity 18/25
Community 0/25
Stars: 6,906
Forks: 900
Downloads:
Commits (30d): 29
Language: Python
License: Apache-2.0
Stars: 3
Forks:
Downloads: 180
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No risk flags

About openllmetry

traceloop/openllmetry

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

Provides pre-built OpenTelemetry instrumentations for 10+ LLM providers (OpenAI, Anthropic, Cohere, Gemini) and vector databases (Pinecone, Weaviate, Qdrant), plus a lightweight SDK for automatic trace collection. Traces export to 25+ observability backends including Datadog, Honeycomb, and New Relic via standard OpenTelemetry protocols, or directly to the Traceloop platform for LLM-specific analysis.

About agentloom

cchinchilla-dev/agentloom

Deterministic LLM workflow orchestration with native observability, resilience, and cost control.

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