Comparison
agentops vs myclaw-bench
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 myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Markdown twin · agentops alternatives · myclaw-bench alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | agentops | myclaw-bench |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Steady (61d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 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 11, 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
- myclaw-bench
- Benchmark for AI agents on OpenClaw
Stars
- agentops
- 5.8k
- myclaw-bench
- 223
Forks
- agentops
- 625
- myclaw-bench
- 36
Open issues
- agentops
- 184
- myclaw-bench
- 2
Language
- agentops
- Python
- myclaw-bench
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- myclaw-bench
- myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Persona
- agentops
- -
- myclaw-bench
- -
Runtime
- agentops
- -
- myclaw-bench
- -
License
- agentops
- MIT
- myclaw-bench
- MIT
Last pushed
- agentops
- Jun 25, 2026
- myclaw-bench
- Jul 20, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- myclaw-bench
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- agentops
- 86d
- myclaw-bench
- 61d
Open issues (now)
- agentops
- 184
- myclaw-bench
- 2
Stars delta
- agentops
- +59 (30d)
- myclaw-bench
- -4 (30d)
Open issues delta
- agentops
- +8 (30d)
- myclaw-bench
- 0 (30d)
Owner type
- agentops
- Organization
- myclaw-bench
- User
Full report
- agentops
- Trust report
- myclaw-bench
- Trust report
Shared compatibility
- Python · agentops: Python runtime · myclaw-bench: Python runtime
Choose agentops if…
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
- More GitHub stars (5.8k vs 223) - visibility, not fit.
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 myclaw-bench if…
- Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management..
- Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw.
- Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
When NOT to use myclaw-bench
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework.
- Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
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 (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- GitHub forks (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- Last push (LeoYeAI/myclaw-bench) · observed Jul 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · myclaw-bench 223 (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and myclaw-bench?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over myclaw-bench?
- Choose agentops over myclaw-bench when Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK; More GitHub stars (5.8k vs 223) - visibility, not fit.
- When should I choose myclaw-bench over agentops?
- Choose myclaw-bench over agentops when Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
- 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 myclaw-bench?
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
- Is agentops or myclaw-bench more popular on GitHub?
- agentops has more GitHub stars (5,830 vs 223). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and myclaw-bench open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, myclaw-bench: MIT).
- Where can I find alternatives to agentops or myclaw-bench?
- GraphCanon lists graph-backed alternatives at agentops alternatives and myclaw-bench alternatives (agentops markdown twin, myclaw-bench 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 myclaw-bench?
- agentops: Steady. myclaw-bench: Steady. 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 myclaw-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; myclaw-bench trust report.