Comparison
agentops vs awesome-ai-agents
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 awesome-ai-agents if provides a curated list of AI autonomous agents, both open and closed-source.
Markdown twin · agentops alternatives · awesome-ai-agents alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | agentops | awesome-ai-agents |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 2026 · github_public_v1 | Steady (40d since push) As of Aug 19, 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 Aug 19, 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
- awesome-ai-agents
- A list of AI autonomous agents
Stars
- agentops
- 5.8k
- awesome-ai-agents
- 30k
Forks
- agentops
- 625
- awesome-ai-agents
- 3.3k
Open issues
- agentops
- 184
- awesome-ai-agents
- 933
Language
- agentops
- Python
- awesome-ai-agents
- -
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- awesome-ai-agents
- Provides a curated list of AI autonomous agents, both open and closed-source.
Persona
- agentops
- -
- awesome-ai-agents
- -
Runtime
- agentops
- -
- awesome-ai-agents
- -
License
- agentops
- MIT
- awesome-ai-agents
- Other
Last pushed
- agentops
- Jun 25, 2026
- awesome-ai-agents
- Jul 9, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- awesome-ai-agents
- AI Agents
Trust and health
Days since push
- agentops
- 86d
- awesome-ai-agents
- 40d
Open issues (now)
- agentops
- 184
- awesome-ai-agents
- 933
Stars delta
- agentops
- +59 (30d)
- awesome-ai-agents
- +638 (30d)
Open issues delta
- agentops
- +8 (30d)
- awesome-ai-agents
- +73 (30d)
Full report
- agentops
- Trust report
- awesome-ai-agents
- Trust report
Choose agentops if…
- License: agentops is MIT, awesome-ai-agents is Other.
- 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 awesome-ai-agents if…
- License: awesome-ai-agents is Other, agentops is MIT.
- Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list..
- Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt.
- When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation.
When NOT to use awesome-ai-agents
- When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time.
- If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems.
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 (e2b-dev/awesome-ai-agents) · observed Sep 20, 2026
- GitHub forks (e2b-dev/awesome-ai-agents) · observed Sep 20, 2026
- Last push (e2b-dev/awesome-ai-agents) · observed Jul 9, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentops 5.8k · awesome-ai-agents 30k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and awesome-ai-agents?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. awesome-ai-agents: A list of AI autonomous agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentops over awesome-ai-agents?
- Choose agentops over awesome-ai-agents when License: agentops is MIT, awesome-ai-agents is Other; 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 awesome-ai-agents over agentops?
- Choose awesome-ai-agents over agentops when License: awesome-ai-agents is Other, agentops is MIT; Requirements: While 'awesome-ai-agents' does not mention explicit system requirements due to its nature as a list, users should review the individual projects’ documentation.; Users might need specific environments or versions of software depending on which AI agent project they are interested in using from this list.; Tags unique to awesome-ai-agents: agent, ai, artificial-intelligence, autogpt; When you need to curate or explore a variety of AI agent projects. 'awesome-ai-agents' offers both open source and closed-source AI agent initiatives for easy navigation.
- 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 awesome-ai-agents?
- When you require real-time collaboration or updates on AI agents; 'awesome-ai-agents' might not have the most updated information in real time. If you specifically need a comprehensive, detailed guide for each tool. The repository provides lists but may lack in-depth explanations suitable for those unfamiliar with AI agent systems.
- Is agentops or awesome-ai-agents more popular on GitHub?
- awesome-ai-agents has more GitHub stars (29,538 vs 5,830). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and awesome-ai-agents open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, awesome-ai-agents: Other).
- Where can I find alternatives to agentops or awesome-ai-agents?
- GraphCanon lists graph-backed alternatives at agentops alternatives and awesome-ai-agents alternatives (agentops markdown twin, awesome-ai-agents 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 awesome-ai-agents?
- agentops: Steady. awesome-ai-agents: 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 awesome-ai-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; awesome-ai-agents trust report.