--- title: "comet-examples vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/comet-ml-comet-examples-vs-wshobson-agents" tools: ["comet-ml-comet-examples", "wshobson-agents"] --- # comet-examples vs agents *GraphCanon updated Jul 11, 2026* ## Verdict Pick comet-examples when comet-examples is primarily Jupyter Notebook; agents is Python; pick agents when agents is primarily Python; comet-examples is Jupyter Notebook. [comet-examples](https://github.com/comet-ml/comet-examples) reports 175 GitHub stars, 66 forks, and 26 open issues, last pushed Jun 29, 2026. [agents](https://sethhobson.com) has 38k stars, 4.0k forks, and 1 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [comet-examples's repository](https://github.com/comet-ml/comet-examples) and [agents's repository](https://github.com/wshobson/agents). | | [comet-examples](/tools/comet-ml-comet-examples.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Examples of Machine Learning code using Comet.ml | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 175 | 37,779 | | Forks | 66 | 4,050 | | Open issues | 26 | 1 | | Language | Jupyter Notebook | Python | | Adopt for | - | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [comet-examples](/tools/comet-ml-comet-examples.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 11d | 2d | | Open issues (now) | 26 | 1 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/comet-ml-comet-examples/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: agents - **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot ## Choose when ### Choose comet-examples if… - comet-examples is primarily Jupyter Notebook; agents is Python. - Tags unique to comet-examples: comet-ml, deep-learning, deep-learning-algorithms, deep-learning-libraries. ### Choose agents if… - agents is primarily Python; comet-examples is Jupyter Notebook. - Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering. - Also covers AI Agents. - You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments ## When NOT to use comet-examples - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use agents - You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support - Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ## Common questions ### What is the difference between comet-examples and agents? comet-examples: Examples of Machine Learning code using Comet.ml. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose comet-examples over agents? Choose comet-examples over agents when comet-examples is primarily Jupyter Notebook; agents is Python; Tags unique to comet-examples: comet-ml, deep-learning, deep-learning-algorithms, deep-learning-libraries. ### When should I choose agents over comet-examples? Choose agents over comet-examples when agents is primarily Python; comet-examples is Jupyter Notebook; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments. ### When should I avoid comet-examples? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid agents? You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem ### Is comet-examples or agents more popular on GitHub? agents has more GitHub stars (37,779 vs 175). Stars measure visibility, not whether either tool fits your constraints. ### Are comet-examples and agents open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to comet-examples or agents? GraphCanon lists graph-backed alternatives at [comet-examples alternatives](/tools/comet-ml-comet-examples/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([comet-examples markdown twin](/tools/comet-ml-comet-examples/alternatives.md), [agents markdown twin](/tools/wshobson-agents/alternatives.md)), 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](/compare/comet-ml-comet-examples-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, comet-examples or agents? comet-examples: Active. agents: 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 comet-examples and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [comet-examples trust report](/tools/comet-ml-comet-examples/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=comet-ml-comet-examples`](/api/graphcanon/graph?tool=comet-ml-comet-examples) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_