Comparison
agentops vs agent-kernel
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · agentops alternatives · agent-kernel alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | agentops | agent-kernel |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- agentops
- 5.8k
- agent-kernel
- 188
Forks
- agentops
- 625
- agent-kernel
- 86
Open issues
- agentops
- 184
- agent-kernel
- 137
Language
- agentops
- Python
- agent-kernel
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- agentops
- -
- agent-kernel
- -
Runtime
- agentops
- -
- agent-kernel
- -
License
- agentops
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- agent-kernel
- Sep 11, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- agent-kernel
- AI Agents
Trust and health
Maintenance
- agentops
- Steady (60%)
- agent-kernel
- Very active (96%)
Days since push
- agentops
- 86d
- agent-kernel
- 1d
Open issues (now)
- agentops
- 184
- agent-kernel
- 137
Stars delta
- agentops
- +59 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- agentops
- +8 (30d)
- agent-kernel
- +9 (30d)
Full report
- agentops
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · agentops: Python runtime · agent-kernel: Python runtime
Choose agentops if…
- License: agentops is MIT, agent-kernel is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Also covers Evaluation & Observability.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, agentops is MIT.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agentops 5.8k · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and agent-kernel?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over agent-kernel?
- Choose agentops over agent-kernel when License: agentops is MIT, agent-kernel is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose agent-kernel over agentops?
- Choose agent-kernel over agentops when License: agent-kernel is Apache-2.0, agentops is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is agentops or agent-kernel more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and agent-kernel open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, agent-kernel: Apache-2.0).
- Where can I find alternatives to agentops or agent-kernel?
- GraphCanon lists graph-backed alternatives at agentops alternatives and agent-kernel alternatives (agentops markdown twin, agent-kernel markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agentops or agent-kernel?
- agentops: Steady. agent-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agentops and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; agent-kernel trust report.