--- title: "netdata vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/netdata-netdata-vs-wshobson-agents" tools: ["netdata-netdata", "wshobson-agents"] --- # netdata vs agents *GraphCanon updated Jul 11, 2026* ## Verdict Pick netdata when netdata is primarily Go; agents is Python; pick agents when agents is primarily Python; netdata is Go. [netdata](https://www.netdata.cloud) reports 80k GitHub stars, 6.5k forks, and 359 open issues, last pushed Jul 11, 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 [netdata's repository](https://github.com/netdata/netdata) and [agents's repository](https://github.com/wshobson/agents). | | [netdata](/tools/netdata-netdata.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | The fastest path to AI-powered full stack observability, even for lean teams. | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 79,594 | 37,779 | | Forks | 6,515 | 4,050 | | Open issues | 359 | 1 | | Language | Go | 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 | GPL-3.0 | MIT | | Categories | Developer Tools, Evaluation & Observability | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [netdata](/tools/netdata-netdata.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 359 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/netdata-netdata/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 netdata if… - netdata is primarily Go; agents is Python. - License: netdata is GPL-3.0, agents is MIT. - Tags unique to netdata: ai, alerting, cncf, data-visualization. - Also covers Evaluation & Observability. ### Choose agents if… - agents is primarily Python; netdata is Go. - License: agents is MIT, netdata is GPL-3.0. - 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 netdata - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 netdata and agents? netdata: The fastest path to AI-powered full stack observability, even for lean teams.. 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 netdata over agents? Choose netdata over agents when netdata is primarily Go; agents is Python; License: netdata is GPL-3.0, agents is MIT; Tags unique to netdata: ai, alerting, cncf, data-visualization; Also covers Evaluation & Observability. ### When should I choose agents over netdata? Choose agents over netdata when agents is primarily Python; netdata is Go; License: agents is MIT, netdata is GPL-3.0; 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 netdata? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 netdata or agents more popular on GitHub? netdata has more GitHub stars (79,594 vs 37,779). Stars measure visibility, not whether either tool fits your constraints. ### Are netdata and agents open source? Yes - both are open-source projects on GitHub (netdata: GPL-3.0, agents: MIT). ### Where can I find alternatives to netdata or agents? GraphCanon lists graph-backed alternatives at [netdata alternatives](/tools/netdata-netdata/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([netdata markdown twin](/tools/netdata-netdata/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/netdata-netdata-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, netdata or agents? netdata: Very 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 netdata and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [netdata trust report](/tools/netdata-netdata/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=netdata-netdata`](/api/graphcanon/graph?tool=netdata-netdata) - 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/_